Protein Structural Motifs Search in Protein Data Base

Size: px
Start display at page:

Download "Protein Structural Motifs Search in Protein Data Base"

Transcription

1 Protein Structural Motifs Search in Protein Data Base Virginio Cantoni 1, Alessio Ferone 2, Ozlem Ozbudak 3, Alfredo Petrosino 2 1 Dept. of Electrical Engineering and Computer Science, Pavia Univ., Italy 2 Dept. of Applied Science. Univ. Naples Parthenope, Itally 3 Dept. of Electronics and Communication Engineering, Istanbul Tech. Univ., Turkey

2 PDB 2

3 Protein Data Bank (PDB) 3

4 Levels of protein structure representation Primary structure Secondary structure Tertiary structure Quaternary structure 4

5 Primary structure: the sequence of amino acids 5

6 Secondary structures Three basic components: helix sheet Loops (linear connections between the components) 6

7 The helices One of the most closely packed arrangement of residues. ~40% of residues in globular proteins 7

8 The sheet loosely packed arrangement of residues. Parallel Antiparallel Twisted 8

9 Secondary Structures Representation Secondary structures are represented as linear vectors (segments): the axis for the helix and the best fit segment for a sheet An alignment algorithm is used to match an helix segments with known axes to determine helix axis. Direct segment fits are made to fit sheet strands. 9

10 Secondary Structure Determination Programs: DSSP and STRIDE. On the average 4.8% of the target residues were differently assigned, this number reaching 12% for certain targets. 10

11 Protein Structure Comparison What are the most similar folds? PDB New protein 11

12 Secondary structure representation Each secondary structure is displayed as a cylinder The protein is represented by and ordered sequence of cylinder with two labels: helices or sheets 12

13 GHT applied to proteins For every protein, the distance ( ) of every secondary structure from a reference point (RP, eg the geometric center of the protein) and the angle (theta) between the direction of the secondary structure in the 3D space and the segment linking the center of that secondary structure with the RP are first calculated. (GH reference table RT) 13

14 In the way of GHT (simplified 2D representation) helices and sheets Query protein (scaled 0.5) Mapping Rule Votes Space 14

15 In the way of GHT helices and sheets Query protein Mapping Rule Votes Space 15

16 Generalized Hough Transform (SSS) Reference Point A Type A: -helix, l 1,TD.. 16

17 PROTEIN 1FNB The protein contains 22 Secondary Structure. Searched motif: Greek key (4 -sheets). The red circles are the helices and the blue circles are the sheets. The cyan blue triangles indicate the orientation of the secondary structures. The black point is the reference point. 17

18 PROTEIN 7FAB The protein contains 46 Secondary Structure. Searched motif: 3 helix and 2 sheet. The red circles are the helices and the blue circles are the sheets. The cyan blue triangles indicate the orientation of the secondary structures. The black point is the reference point. 18

19 SSC: Secondary Structures Co-occurrences RP Axis angle B Coplanar lines Axis distance Midpoint distance A Type A: -helix, l 1, TD.. Type B: -helix, l 2, TP.. 19

20 SST: Secondary Structures Triplets Reference Point C normal to ABC : l AB, l BC, l CA B : ABC A Type A: -helix, l 1 Type B: -helix, l 2 Type C: -helix, l 3 20

21 4 SSs motif: Terns co-occurrence Reference Point FourTerns ABC ACD BCD DAB C D B Type A: -helix, l 1 Type B: -strand, l 2 Type C: -helix, l 3 Type D: -strand, l 4 A 21

22 Reference Point 5 SSs motif: Terns co-occurrence Ten Terns ABC ACD BCD BDE CDE CEA DEA DAB EAB EBC E C D B Type A: -helix, l 1 Type B: -helix, l 2 Type C: -helix, l 3 Type D: -helix, l 4 Type E: -helix, l 5 A 22

23 PROTEIN 1FNB 40 Motif RP RP for SSC RP for SST RP for MDM z The protein contains 22 Secondary Structure. Searched motif: Greek key (4 -sheets). The red circles are the helices and the blue circles are the sheets, in bold the motif SSs. 23 x 50 0 y

24 PROTEIN 7FAB 50 Motif RP RP for SSC RP for SST RP for MDM z x y 0-20 The protein contains 46 Secondary Structure. Searched motif: 3 helices and 2 sheets. The red circles are the helices and the blue circles are the sheets, in bold the motif SSs. 24

25 Searching performances Searching a Greek Key motif (4 SSs, all -sheets) in 1FNB Searching a motif with 5 SSs (3 helices and 2 sheets) in 7FAB 25

26 PV Benchmark (20 proteins) 26

27 PV Benchmark: basic features Number of candidate motifs ss 4ss 5ss Number of Secondary Structures 27

28 PV Benchmark: performances 50 5SS 4SS 3SS Searching time (msec) 5 SST 0,5 10 SSC Number of Secondary Structures 28

29 Average performances SSC Number of proteins Number of SSs per motif Total number of motifs Total Searching Time (sec) Average Searching Time per motif (msec) SST Number of proteins Number of SSs per motif Total number of motifs Total Searching Time (sec) Average Searching Time per motif (msec)

Comparison of GHT-Based Approaches to Structural Motif Retrieval

Comparison of GHT-Based Approaches to Structural Motif Retrieval Comparison of GHT-Based Approaches to Structural Motif Retrieval Alessio Ferone 1 and Ozlem Ozbudak 2 1 University of Naples Parthenope, Department of Applied Science, Centro Direzionale Napoli - Isola

More information

CS273: Algorithms for Structure Handout # 5 and Motion in Biology Stanford University Tuesday, 13 April 2004

CS273: Algorithms for Structure Handout # 5 and Motion in Biology Stanford University Tuesday, 13 April 2004 CS273: Algorithms for Structure Handout # 5 and Motion in Biology Stanford University Tuesday, 13 April 2004 Lecture #5: 13 April 2004 Topics: Sequence motif identification Scribe: Samantha Chui 1 Introduction

More information

CSE : Computational Issues in Molecular Biology. Lecture 19. Spring 2004

CSE : Computational Issues in Molecular Biology. Lecture 19. Spring 2004 CSE 397-497: Computational Issues in Molecular Biology Lecture 19 Spring 2004-1- Protein structure Primary structure of protein is determined by number and order of amino acids within polypeptide chain.

More information

Hmwk 6. Nucleic Acids

Hmwk 6. Nucleic Acids The purpose of this homework exercise is Hmwk 6. Nucleic Acids 1). to recognize fundamental features of B-form DNA and A-form RNA 2). to view the folded structure of trna B-FORM DNA In aqueous solutions,

More information

RNA secondary structure

RNA secondary structure Sequence Analysis '17 -- Lecture 17 RNA secondary structure Functions Representations Predictions Many slides courtesy of M. Zuker, RP Math When RNA secondary structure matters mrna --> protein protein

More information

Computational Methods for Protein Structure Prediction

Computational Methods for Protein Structure Prediction Computational Methods for Protein Structure Prediction Ying Xu 2017/12/6 1 Outline introduction to protein structures the problem of protein structure prediction why it is possible to predict protein structures

More information

Ab Initio SERVER PROTOTYPE FOR PREDICTION OF PHOSPHORYLATION SITES IN PROTEINS*

Ab Initio SERVER PROTOTYPE FOR PREDICTION OF PHOSPHORYLATION SITES IN PROTEINS* COMPUTATIONAL METHODS IN SCIENCE AND TECHNOLOGY 9(1-2) 93-100 (2003/2004) Ab Initio SERVER PROTOTYPE FOR PREDICTION OF PHOSPHORYLATION SITES IN PROTEINS* DARIUSZ PLEWCZYNSKI AND LESZEK RYCHLEWSKI BiolnfoBank

More information

BETA STRAND Prof. Alejandro Hochkoeppler Department of Pharmaceutical Sciences and Biotechnology University of Bologna

BETA STRAND Prof. Alejandro Hochkoeppler Department of Pharmaceutical Sciences and Biotechnology University of Bologna Prof. Alejandro Hochkoeppler Department of Pharmaceutical Sciences and Biotechnology University of Bologna E-mail: a.hochkoeppler@unibo.it C-ter NH and CO groups: right, left, right (plane of the slide)

More information

Programme Good morning and summary of last week Levels of Protein Structure - I Levels of Protein Structure - II

Programme Good morning and summary of last week Levels of Protein Structure - I Levels of Protein Structure - II Programme 8.00-8.10 Good morning and summary of last week 8.10-8.30 Levels of Protein Structure - I 8.30-9.00 Levels of Protein Structure - II 9.00-9.15 Break 9.15-11.15 Exercise: Building a protein model

More information

Giri Narasimhan. CAP 5510: Introduction to Bioinformatics. ECS 254; Phone: x3748

Giri Narasimhan. CAP 5510: Introduction to Bioinformatics. ECS 254; Phone: x3748 CAP 5510: Introduction to Bioinformatics Giri Narasimhan ECS 254; Phone: x3748 giri@cis.fiu.edu www.cis.fiu.edu/~giri/teach/bioinfs07.html 2/19/07 CAP5510 1 HMM for Sequence Alignment 2/19/07 CAP5510 2

More information

Proteins Higher Order Structures

Proteins Higher Order Structures Proteins Higher Order Structures Dr. Mohammad Alsenaidy Department of Pharmaceutics College of Pharmacy King Saud University Office: AA 101 msenaidy@ksu.edu.sa Previously on PHT 426!! Protein Structures

More information

All Rights Reserved. U.S. Patents 6,471,520B1; 5,498,190; 5,916, North Market Street, Suite CC130A, Milwaukee, WI 53202

All Rights Reserved. U.S. Patents 6,471,520B1; 5,498,190; 5,916, North Market Street, Suite CC130A, Milwaukee, WI 53202 Secondary Structure In the previous protein folding activity, you created a hypothetical 15-amino acid protein and learned that basic principles of chemistry determine how each protein spontaneously folds

More information

Protein Folding Problem I400: Introduction to Bioinformatics

Protein Folding Problem I400: Introduction to Bioinformatics Protein Folding Problem I400: Introduction to Bioinformatics November 29, 2004 Protein biomolecule, macromolecule more than 50% of the dry weight of cells is proteins polymer of amino acids connected into

More information

CMPS 6630: Introduction to Computational Biology and Bioinformatics. Secondary Structure Prediction

CMPS 6630: Introduction to Computational Biology and Bioinformatics. Secondary Structure Prediction CMPS 6630: Introduction to Computational Biology and Bioinformatics Secondary Structure Prediction Secondary Structure Annotation Given a macromolecular structure Identify the regions of secondary structure

More information

CFSSP: Chou and Fasman Secondary Structure Prediction server

CFSSP: Chou and Fasman Secondary Structure Prediction server Wide Spectrum, Vol. 1, No. 9, (2013) pp 15-19 CFSSP: Chou and Fasman Secondary Structure Prediction server T. Ashok Kumar Department of Bioinformatics, Noorul Islam College of Arts and Science, Kumaracoil

More information

Molecular Modeling Lecture 8. Local structure Database search Multiple alignment Automated homology modeling

Molecular Modeling Lecture 8. Local structure Database search Multiple alignment Automated homology modeling Molecular Modeling 2018 -- Lecture 8 Local structure Database search Multiple alignment Automated homology modeling An exception to the no-insertions-in-helix rule Actual structures (myosin)! prolines

More information

MOL204 Exam Fall 2015

MOL204 Exam Fall 2015 MOL204 Exam Fall 2015 Exercise 1 15 pts 1. 1A. Define primary and secondary bioinformatical databases and mention two examples of primary bioinformatical databases and one example of a secondary bioinformatical

More information

Protein Structure Prediction. christian studer , EPFL

Protein Structure Prediction. christian studer , EPFL Protein Structure Prediction christian studer 17.11.2004, EPFL Content Definition of the problem Possible approaches DSSP / PSI-BLAST Generalization Results Definition of the problem Massive amounts of

More information

Title: A topological and conformational stability alphabet for multi-pass membrane proteins

Title: A topological and conformational stability alphabet for multi-pass membrane proteins Supplementary Information Title: A topological and conformational stability alphabet for multi-pass membrane proteins Authors: Feng, X. 1 & Barth, P. 1,2,3 Correspondences should be addressed to: P.B.

More information

Prot-SSP: A Tool for Amino Acid Pairing Pattern Analysis in Secondary Structures

Prot-SSP: A Tool for Amino Acid Pairing Pattern Analysis in Secondary Structures Mol2Net, 2015, 1(Section F), pages 1-6, Proceedings 1 SciForum Mol2Net Prot-SSP: A Tool for Amino Acid Pairing Pattern Analysis in Secondary Structures Miguel de Sousa 1, *, Cristian R. Munteanu 2 and

More information

Protein Structure. Protein Structure Tertiary & Quaternary

Protein Structure. Protein Structure Tertiary & Quaternary Lecture 4 Protein Structure Protein Structure Tertiary & Quaternary Dr. Sameh Sarray Hlaoui Primary structure: The linear sequence of amino acids held together by peptide bonds. Secondary structure: The

More information

BIOINFORMATICS Introduction

BIOINFORMATICS Introduction BIOINFORMATICS Introduction Mark Gerstein, Yale University bioinfo.mbb.yale.edu/mbb452a 1 (c) Mark Gerstein, 1999, Yale, bioinfo.mbb.yale.edu What is Bioinformatics? (Molecular) Bio -informatics One idea

More information

Protein Structure Prediction

Protein Structure Prediction Homology Modeling Protein Structure Prediction Ingo Ruczinski M T S K G G G Y F F Y D E L Y G V V V V L I V L S D E S Department of Biostatistics, Johns Hopkins University Fold Recognition b Initio Structure

More information

DNA Glycosylase Exercise

DNA Glycosylase Exercise Name StarBiochem DNA Glycosylase Exercise Background In this exercise, you will use StarBiochem, a protein 3-D viewer, to explore the structure of a DNA repair protein found in most species, including

More information

Protein Structure Analysis

Protein Structure Analysis BINF 731 Protein Structure Analysis http://binf.gmu.edu/vaisman/binf731/ Secondary Structure: Computational Problems Secondary structure characterization Secondary structure assignment Secondary structure

More information

BMB/Bi/Ch 170 Fall 2017 Problem Set 1: Proteins I

BMB/Bi/Ch 170 Fall 2017 Problem Set 1: Proteins I BMB/Bi/Ch 170 Fall 2017 Problem Set 1: Proteins I Please use ray-tracing feature for all the images you are submitting. Use either the Ray button on the right side of the command window in PyMOL or variations

More information

JPred and Jnet: Protein Secondary Structure Prediction.

JPred and Jnet: Protein Secondary Structure Prediction. JPred and Jnet: Protein Secondary Structure Prediction www.compbio.dundee.ac.uk/jpred ...A I L E G D Y A S H M K... FUNCTION? Protein Sequence a-helix b-strand Secondary Structure Fold What is the difference

More information

A Protein Secondary Structure Prediction Method Based on BP Neural Network Ru-xi YIN, Li-zhen LIU*, Wei SONG, Xin-lei ZHAO and Chao DU

A Protein Secondary Structure Prediction Method Based on BP Neural Network Ru-xi YIN, Li-zhen LIU*, Wei SONG, Xin-lei ZHAO and Chao DU 2017 2nd International Conference on Artificial Intelligence: Techniques and Applications (AITA 2017 ISBN: 978-1-60595-491-2 A Protein Secondary Structure Prediction Method Based on BP Neural Network Ru-xi

More information

Protein Structure Databases, cont. 11/09/05

Protein Structure Databases, cont. 11/09/05 11/9/05 Protein Structure Databases (continued) Prediction & Modeling Bioinformatics Seminars Nov 10 Thurs 3:40 Com S Seminar in 223 Atanasoff Computational Epidemiology Armin R. Mikler, Univ. North Texas

More information

Introduction to Proteins

Introduction to Proteins Introduction to Proteins Lecture 4 Module I: Molecular Structure & Metabolism Molecular Cell Biology Core Course (GSND5200) Matthew Neiditch - Room E450U ICPH matthew.neiditch@umdnj.edu What is a protein?

More information

Sequence Analysis '17 -- lecture Secondary structure 3. Sequence similarity and homology 2. Secondary structure prediction

Sequence Analysis '17 -- lecture Secondary structure 3. Sequence similarity and homology 2. Secondary structure prediction Sequence Analysis '17 -- lecture 16 1. Secondary structure 3. Sequence similarity and homology 2. Secondary structure prediction Alpha helix Right-handed helix. H-bond is from the oxygen at i to the nitrogen

More information

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1 Supplementary Figure 1 Domain architecture and conformational states of the decapping complex, as revealed by structural studies. (a) Domain organization of Schizosaccharomyces pombe (Sp) and Saccharomyces

More information

BIOLOGY 200 Molecular Biology Students registered for the 9:30AM lecture should NOT attend the 4:30PM lecture.

BIOLOGY 200 Molecular Biology Students registered for the 9:30AM lecture should NOT attend the 4:30PM lecture. BIOLOGY 200 Molecular Biology Students registered for the 9:30AM lecture should NOT attend the 4:30PM lecture. Midterm date change! The midterm will be held on October 19th (likely 6-8PM). Contact Kathy

More information

RNA does not adopt the classic B-DNA helix conformation when it forms a self-complementary double helix

RNA does not adopt the classic B-DNA helix conformation when it forms a self-complementary double helix Reason: RNA has ribose sugar ring, with a hydroxyl group (OH) If RNA in B-from conformation there would be unfavorable steric contact between the hydroxyl group, base, and phosphate backbone. RNA structure

More information

Ranking Beta Sheet Topologies of Proteins

Ranking Beta Sheet Topologies of Proteins , October 20-22, 2010, San Francisco, USA Ranking Beta Sheet Topologies of Proteins Rasmus Fonseca, Glennie Helles and Pawel Winter Abstract One of the challenges of protein structure prediction is to

More information

STRUCTURAL BIOLOGY. α/β structures Closed barrels Open twisted sheets Horseshoe folds

STRUCTURAL BIOLOGY. α/β structures Closed barrels Open twisted sheets Horseshoe folds STRUCTURAL BIOLOGY α/β structures Closed barrels Open twisted sheets Horseshoe folds The α/β domains Most frequent domain structures are α/β domains: A central parallel or mixed β sheet Surrounded by α

More information

Structural Bioinformatics (C3210) DNA and RNA Structure

Structural Bioinformatics (C3210) DNA and RNA Structure Structural Bioinformatics (C3210) DNA and RNA Structure Importance of DNA/RNA 3D Structure Nucleic acids are essential materials found in all living organisms. Their main function is to maintain and transmit

More information

Science Park High School Math Summer Assignment

Science Park High School Math Summer Assignment Name: Science Park High School Math Summer Assignment Review of Math Skills for Students Entering Geometry and/or Algebra II DUE THE FIRST DAY OF SCHOOL The problems in this packet are designed to help

More information

Nucleotides: structure and functions. Prof. Dalė Vieželienė Biochemistry department Room No

Nucleotides: structure and functions. Prof. Dalė Vieželienė Biochemistry department Room No Nucleotides: structure and functions Prof. Dalė Vieželienė Biochemistry department Room No. 229 Email: daleveze@med.kmu.lt Composition of Nucleic Acids Nucleotide structure Two types of nucleic acids:

More information

Homework 4. Due in class, Wednesday, November 10, 2004

Homework 4. Due in class, Wednesday, November 10, 2004 1 GCB 535 / CIS 535 Fall 2004 Homework 4 Due in class, Wednesday, November 10, 2004 Comparative genomics 1. (6 pts) In Loots s paper (http://www.seas.upenn.edu/~cis535/lab/sciences-loots.pdf), the authors

More information

Gene Expression - Transcription

Gene Expression - Transcription DNA Gene Expression - Transcription Genes are expressed as encoded proteins in a 2 step process: transcription + translation Central dogma of biology: DNA RNA protein Transcription: copy DNA strand making

More information

DNA Repair Protein Exercise

DNA Repair Protein Exercise Name StarBiochem DNA Repair Protein Exercise Background In this exercise, you will use StarBiochem, a protein 3-D viewer, to explore the structure of a DNA repair protein found in most species, including

More information

1-D Predictions. Prediction of local features: Secondary structure & surface exposure

1-D Predictions. Prediction of local features: Secondary structure & surface exposure Programme 8.00-8.30 Last week s quiz results 8.30-9.00 Prediction of secondary structure & surface exposure 9.00-9.20 Protein disorder prediction 9.20-9.30 Break get computers upstairs 9.30-11.00 Ex.:

More information

Protein Structure/Function Relationships

Protein Structure/Function Relationships Protein Structure/Function Relationships W. M. Grogan, Ph.D. OBJECTIVES 1. Describe and cite examples of fibrous and globular proteins. 2. Describe typical tertiary structural motifs found in proteins.

More information

Bioinformatics & Protein Structural Analysis. Bioinformatics & Protein Structural Analysis. Learning Objective. Proteomics

Bioinformatics & Protein Structural Analysis. Bioinformatics & Protein Structural Analysis. Learning Objective. Proteomics The molecular structures of proteins are complex and can be defined at various levels. These structures can also be predicted from their amino-acid sequences. Protein structure prediction is one of the

More information

Ch Biophysical Chemistry

Ch Biophysical Chemistry Ch 247.53. Biophysical Chemistry Nina Rosario L. Rojas 2012-2013 sem 1 Review of Protein Structure Why structure? Primary, secondary, tertiary structure Disulfide bonds scheme 2 STRUCTURE- REGULAR STRUCTURE

More information

Hmwk # 8 : DNA-Binding Proteins : Part II

Hmwk # 8 : DNA-Binding Proteins : Part II The purpose of this exercise is : Hmwk # 8 : DNA-Binding Proteins : Part II 1). to examine the case of a tandem head-to-tail homodimer binding to DNA 2). to view a Zn finger motif 3). to consider the case

More information

Protein backbone angle prediction with machine learning. approaches

Protein backbone angle prediction with machine learning. approaches Bioinformatics Advance Access published February 26, 2004 Bioinfor matics Oxford University Press 2004; all rights reserved. Protein backbone angle prediction with machine learning approaches Rui Kuang

More information

UNIVERSITY OF EAST ANGLIA School of Computing Sciences Main Series UG Examination ALGORITHMS FOR BIOINFORMATICS CMP-6034B

UNIVERSITY OF EAST ANGLIA School of Computing Sciences Main Series UG Examination ALGORITHMS FOR BIOINFORMATICS CMP-6034B UNIVERSITY OF EAST ANGLIA School of Computing Sciences Main Series UG Examination 2015-16 ALGORITHMS FOR BIOINFORMATICS CMP-6034B Time allowed: 3 hours All questions are worth 30 marks. Answer any FOUR.

More information

BASIC MOLECULAR GENETIC MECHANISMS Introduction:

BASIC MOLECULAR GENETIC MECHANISMS Introduction: BASIC MOLECULAR GENETIC MECHANISMS Introduction: nucleic acids. (1) contain the information for determining the amino acid sequence & the structure and function of proteins (1) part of the cellular structures:

More information

Representation in Supervised Machine Learning Application to Biological Problems

Representation in Supervised Machine Learning Application to Biological Problems Representation in Supervised Machine Learning Application to Biological Problems Frank Lab Howard Hughes Medical Institute & Columbia University 2010 Robert Howard Langlois Hughes Medical Institute What

More information

Structural bioinformatics

Structural bioinformatics Structural bioinformatics Why structures? The representation of the molecules in 3D is more informative New properties of the molecules are revealed, which can not be detected by sequences Eran Eyal Plant

More information

BCH222 - Greek Key β Barrels

BCH222 - Greek Key β Barrels BCH222 - Greek Key β Barrels Reading C.I. Branden and J. Tooze (1999) Introduction to Protein Structure, Second Edition, pp. 77-78 & 335-336 (look at the color figures) J.S. Richardson (1981) "The Anatomy

More information

Distributions of Beta Sheets in Proteins with Application to Structure Prediction

Distributions of Beta Sheets in Proteins with Application to Structure Prediction Distributions of Beta Sheets in Proteins with Application to Structure Prediction Ingo Ruczinski Department of Biostatistics Johns Hopkins University Email: ingo@jhu.edu http://biostat.jhsph.edu/ iruczins

More information

Overview. Secondary Structure. Tertiary Structure

Overview. Secondary Structure. Tertiary Structure Protein Structure Disclaimer: All information and images were taken from outside sources and the author claims no legal ownership of any material. Sources for images are linked on each slide and the information

More information

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1 Supplementary Figure 1 Multiple sequence alignments of four Swi2/Snf2 subfamily proteins, ScChd1, SsoRad54 and the RNA helicase Vasa. The sequence alignments of the Swi2/Snf2 subfamily proteins, ScChd1

More information

STATE OF SOLIDIFICATION & CRYSTAL STRUCTURE

STATE OF SOLIDIFICATION & CRYSTAL STRUCTURE STATE OF SOLIDIFICATION & CRYSTAL STRUCTURE Chapter Outline Determination of crystal properties or properties of crystalline materials. Crystal Geometry! Crystal Directions! Linear Density of atoms! Crystal

More information

Lecture 2: Central Dogma of Molecular Biology & Intro to Programming

Lecture 2: Central Dogma of Molecular Biology & Intro to Programming Lecture 2: Central Dogma of Molecular Biology & Intro to Programming Central Dogma of Molecular Biology Proteins: workhorse molecules of biological systems Proteins are synthesized from the genetic blueprints

More information

CABIOS. Objectively judging the quality of a protein structure from a Ramachandran plot. Rob W.W.Hooft, Chris Sander and Gerrit Vriend

CABIOS. Objectively judging the quality of a protein structure from a Ramachandran plot. Rob W.W.Hooft, Chris Sander and Gerrit Vriend CABIOS Vol. 13 no. 4 1997 Pages 425-430 Objectively judging the quality of a protein structure from a Ramachandran plot Rob W.W.Hooft, Chris Sander and Gerrit Vriend Abstract Motivation: Statistical methods

More information

TERTIARY MOTIF INTERACTIONS ON RNA STRUCTURE

TERTIARY MOTIF INTERACTIONS ON RNA STRUCTURE 1 TERTIARY MOTIF INTERACTIONS ON RNA STRUCTURE Bioinformatics Senior Project Wasay Hussain Spring 2009 Overview of RNA 2 The central Dogma of Molecular biology is DNA RNA Proteins The RNA (Ribonucleic

More information

BIRKBECK COLLEGE (University of London)

BIRKBECK COLLEGE (University of London) BIRKBECK COLLEGE (University of London) SCHOOL OF BIOLOGICAL SCIENCES M.Sc. EXAMINATION FOR INTERNAL STUDENTS ON: Postgraduate Certificate in Principles of Protein Structure MSc Structural Molecular Biology

More information

Bayesian Inference using Neural Net Likelihood Models for Protein Secondary Structure Prediction

Bayesian Inference using Neural Net Likelihood Models for Protein Secondary Structure Prediction Bayesian Inference using Neural Net Likelihood Models for Protein Secondary Structure Prediction Seong-gon KIM Dept. of Computer & Information Science & Engineering, University of Florida Gainesville,

More information

In silico Protein Recombination: Enhancing Template and Sequence Alignment Selection for Comparative Protein Modelling

In silico Protein Recombination: Enhancing Template and Sequence Alignment Selection for Comparative Protein Modelling doi:10.1016/s0022-2836(03)00309-7 J. Mol. Biol. (2003) 328, 593 608 In silico Protein Recombination: Enhancing Template and Sequence Alignment Selection for Comparative Protein Modelling Bruno Contreras-Moreira,

More information

Problem Set #2

Problem Set #2 20.320 Problem Set #2 Due on September 30rd, 2011 at 11:59am. No extensions will be granted. General Instructions: 1. You are expected to state all of your assumptions, and provide step-by-step solutions

More information

Fundamentals of Biochemistry

Fundamentals of Biochemistry Donald Voet Judith G. Voet Charlotte W. Pratt Fundamentals of Biochemistry Second Edition Chapter 6: Proteins: Three-Dimensional Structure Copyright 2006 by John Wiley & Sons, Inc. 1958, John Kendrew Any

More information

DNA & DNA : Protein Interactions BIBC 100

DNA & DNA : Protein Interactions BIBC 100 DNA & DNA : Protein Interactions BIBC 100 Sequence = Information Alphabet = language L,I,F,E LIFE DNA = DNA code A, T, C, G CAC=Histidine CAG=Glutamine GGG=Glycine Protein = Protein code 20 a.a. LIVE EVIL

More information

Lecture 9 (10/2/17) Lecture 9 (10/2/17)

Lecture 9 (10/2/17) Lecture 9 (10/2/17) Lecture 9 (10/2/17) Reading: Ch4; 119-122, 125-126, 131-133 (a-helix) Ch4; 123-124, 130-131, 133, 137-138 (b-sheets) Problems: Ch4 (text); 2, 3, 4, 8, 13, 14 NEXT Reading: Ch4; 125, 138-141, 141-142 Problems:

More information

STRUCTURE, DYNAMICS AND INTERACTIONS OF PROTEINS BY NMR SPECTROSCOPY

STRUCTURE, DYNAMICS AND INTERACTIONS OF PROTEINS BY NMR SPECTROSCOPY STRUCTURE, DYNAMICS AND INTERACTIONS OF PROTEINS BY NMR SPECTROSCOPY Constantin T. Craescu INSERM & Institut Curie - Recherche Orsay, France A SHORT INTRODUCTION TO PROTEIN STRUCTURE Chemical composition

More information

Pacific Symposium on Biocomputing 4: (1999)

Pacific Symposium on Biocomputing 4: (1999) Applications of Knowledge Discovery to Molecular Biology: Identifying Structural Regularities in Proteins Shaobing Su, Diane J. Cook, and Lawrence B. Holder University of Texas at Arlington sandy su@sabre.com,

More information

[Loganathan *, 5(11): November 2018] ISSN DOI /zenodo Impact Factor

[Loganathan *, 5(11): November 2018] ISSN DOI /zenodo Impact Factor GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES A STUDY ON TWILIGHT ZONE PROTEINS CONSENSUS SECONDARY STRUCTURE PREDICTION E.Loganathan 1,2, K.Dinakaran 3, S.Gnanendra 4 & P.Valarmathie 5 1 Department

More information

Comparative Modeling Part 1. Jaroslaw Pillardy Computational Biology Service Unit Cornell Theory Center

Comparative Modeling Part 1. Jaroslaw Pillardy Computational Biology Service Unit Cornell Theory Center Comparative Modeling Part 1 Jaroslaw Pillardy Computational Biology Service Unit Cornell Theory Center Function is the most important feature of a protein Function is related to structure Structure is

More information

Textbook Reading Guidelines

Textbook Reading Guidelines Understanding Bioinformatics by Marketa Zvelebil and Jeremy Baum Last updated: January 16, 2013 Textbook Reading Guidelines Preface: Read the whole preface, and especially: For the students with Life Science

More information

Advanced topics in bioinformatics

Advanced topics in bioinformatics Feinberg Graduate School of the Weizmann Institute of Science Advanced topics in bioinformatics Shmuel Pietrokovski & Eitan Rubin Spring 2003 Course WWW site: http://bioinformatics.weizmann.ac.il/courses/atib

More information

Distributions of Beta Sheets in Proteins With Application to Structure Prediction

Distributions of Beta Sheets in Proteins With Application to Structure Prediction PROTEINS: Structure, Function, and Genetics 48:85 97 (2002) Distributions of Beta Sheets in Proteins With Application to Structure Prediction Ingo Ruczinski, 1,2 * Charles Kooperberg, 2 Richard Bonneau,

More information

Residue Contact Prediction for Protein Structure using 2-Norm Distances

Residue Contact Prediction for Protein Structure using 2-Norm Distances Residue Contact Prediction for Protein Structure using 2-Norm Distances Nikita V Mahajan Department of Computer Science &Engg GH Raisoni College of Engineering, Nagpur LGMalik Department of Computer Science

More information

SUPPLEMENTARY DATA. DNAproDB: an interactive tool for structural analysis of DNA-protein complexes

SUPPLEMENTARY DATA. DNAproDB: an interactive tool for structural analysis of DNA-protein complexes SUPPLEMENTARY DATA DNAproDB: an interactive tool for structural analysis of DNA-protein complexes Jared M. Sagendorf 1, Helen M. Berman 2, *, and Remo Rohs 1, * 1 Molecular and Computational Biology Program,

More information

Clamping down on pathogenic bacteria how to shut down a key DNA polymerase complex

Clamping down on pathogenic bacteria how to shut down a key DNA polymerase complex Clamping down on pathogenic bacteria how to shut down a key DNA polymerase complex Bacterial DNA-replication machinery Pathogenic bacteria that are resistant to the current armoury of antibiotics are an

More information

Supplemental Information Molecular Cell, Volume 41

Supplemental Information Molecular Cell, Volume 41 Supplemental Information Molecular Cell, Volume 41 Molecular Mechanisms for the RNA-Dependent ATPase Activity of Upf1 and Its Regulation by Upf2 Sutapa Chakrabarti, Uma Jayachandran, Fabien Bonneau, Francesca

More information

Simple jury predicts protein secondary structure best

Simple jury predicts protein secondary structure best Simple jury predicts protein secondary structure best Burkhard Rost 1,*, Pierre Baldi 2, Geoff Barton 3, James Cuff 4, Volker Eyrich 5,1, David Jones 6, Kevin Karplus 7, Ross King 8, Gianluca Pollastri

More information

PCA and SOM based Dimension Reduction Techniques for Quaternary Protein Structure Prediction

PCA and SOM based Dimension Reduction Techniques for Quaternary Protein Structure Prediction PCA and SOM based Dimension Reduction Techniques for Quaternary Protein Structure Prediction Sanyukta Chetia Department of Electronics and Communication Engineering, Gauhati University-781014, Guwahati,

More information

Discovering Sequence-Structure Motifs from Protein Segments and Two Applications. T. Tang, J. Xu, and M. Li

Discovering Sequence-Structure Motifs from Protein Segments and Two Applications. T. Tang, J. Xu, and M. Li Discovering Sequence-Structure Motifs from Protein Segments and Two Applications T. Tang, J. Xu, and M. Li Pacific Symposium on Biocomputing 10:370-381(2005) DISCOVERING SEQUENCE-STRUCTURE MOTIFS FROM

More information

Supersecondary Structure Motifs and De Novo Protein Structure Prediction

Supersecondary Structure Motifs and De Novo Protein Structure Prediction Supersecondary Structure Motifs and De Novo Protein Structure Prediction Bryn Reinstadler Williams College Jennifer Van George Mason University 31 July 2012 Amarda Shehu George Mason University Abstract

More information

Analytical Methods for Materials

Analytical Methods for Materials Analytical Methods for Materials Lesson 12 Crystallography and Crystal Structures continued Suggested Reading Ch. 6 in Waseda Ch. 1 C. Kittel, Introduction to Solid State Physics, 3 rd Edition, Wiley (1956).

More information

Assessing a novel approach for predicting local 3D protein structures from sequence

Assessing a novel approach for predicting local 3D protein structures from sequence Assessing a novel approach for predicting local 3D protein structures from sequence Cristina Benros*, Alexandre G. de Brevern, Catherine Etchebest and Serge Hazout Equipe de Bioinformatique Génomique et

More information

Replication. Obaidur Rahman

Replication. Obaidur Rahman Replication Obaidur Rahman DIRCTION OF DNA SYNTHESIS How many reactions can a DNA polymerase catalyze? So how many reactions can it catalyze? So 4 is one answer, right, 1 for each nucleotide. But what

More information

Supplementary Figure 1.

Supplementary Figure 1. Supplementary Figure 1. Assessment of quaternary structure of soluble RSV F proteins. Soluble variants of F proteins from A2 and B1 RSV strains were expressed in HEK293 cells. The cell culture supernatants

More information

A Combination of a Functional Motif Model and a Structural Motif Model for a Database Validation

A Combination of a Functional Motif Model and a Structural Motif Model for a Database Validation A Combination of a Functional Motif Model and a Structural Motif Model for a Database Validation Minoru Asogawa, Yukiko Fujiwara, Akihiko Konagaya Massively Parallel Systems NEC Laboratory, RWCP * 4-1-1,

More information

Textbook Reading Guidelines

Textbook Reading Guidelines Understanding Bioinformatics by Marketa Zvelebil and Jeremy Baum Last updated: May 1, 2009 Textbook Reading Guidelines Preface: Read the whole preface, and especially: For the students with Life Science

More information

GCSE MATHEMATICS 8300/2F PRACTICE PAPER SET 4. Exam Date Morning Time allowed: 1 hour 30 minutes. Please write clearly, in block capitals.

GCSE MATHEMATICS 8300/2F PRACTICE PAPER SET 4. Exam Date Morning Time allowed: 1 hour 30 minutes. Please write clearly, in block capitals. PRACTICE PAPER SET 4 Please write clearly, in block capitals. Centre number Candidate number Surname Forename(s) Candidate signature GCSE MATHEMATICS F Foundation Tier Paper 2 Calculator Exam Date Morning

More information

ADAMMLP: An Adaptive Moment Based Hybrid Multi-Layer Perceptron for Protein Secondary Structure Prediction

ADAMMLP: An Adaptive Moment Based Hybrid Multi-Layer Perceptron for Protein Secondary Structure Prediction ADAMMLP: An Adaptive Moment Based Hybrid Multi-Layer Perceptron for Protein Secondary Structure Prediction Bishnupriya Panda a*, Babita Majhi b* a Department of Computer Science and Engineering, Institute

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Supplementary Figure 1. Mechanism for signal-induced opening of the DNA box. a, An atomic model of the DNA box held closed by locks (orange and blue) that are double helices formed by two short strands

More information

Suppl. Figure 1: RCC1 sequence and sequence alignments. (a) Amino acid

Suppl. Figure 1: RCC1 sequence and sequence alignments. (a) Amino acid Supplementary Figures Suppl. Figure 1: RCC1 sequence and sequence alignments. (a) Amino acid sequence of Drosophila RCC1. Same colors are for Figure 1 with sequence of β-wedge that interacts with Ran in

More information

Exams written in pencil or erasable ink will not be re-graded under any circumstances.

Exams written in pencil or erasable ink will not be re-graded under any circumstances. Biochemistry 465 Section I March 4, 1999 Exam #1 Prof. Jason D. Kahn Your Printed Name: Your SS#: Your Signature: You have 80 minutes for this exam. Exams written in pencil or erasable ink will not be

More information

Protein Synthesis Notes

Protein Synthesis Notes Protein Synthesis Notes Protein Synthesis: Overview Transcription: synthesis of mrna under the direction of DNA. Translation: actual synthesis of a polypeptide under the direction of mrna. Transcription

More information

Packing of Secondary Structures

Packing of Secondary Structures 7.88 Lecture Notes - 5 7.24/7.88J/5.48J The Protein Folding and Human Disease Packing of Secondary Structures Packing of Helices against sheets Packing of sheets against sheets Parallel Orthogonal Table:

More information

RNP purification, components and activity.

RNP purification, components and activity. Supplementary Figure 1 RNP purification, components and activity. (a) Intein-mediated RNP production and purification. The Ll.LtrB intron RNA (red) (Exons E1 and E2 in green) and associated intron encoded

More information

Structural Analysis of the EGR Family of Transcription Factors: Templates for Predicting Protein DNA Interactions

Structural Analysis of the EGR Family of Transcription Factors: Templates for Predicting Protein DNA Interactions Introduction Structural Analysis of the EGR Family of Transcription Factors: Templates for Predicting Protein DNA Interactions Jamie Duke, Rochester Institute of Technology Mentor: Carlos Camacho, University

More information

1.1 Chemical structure and conformational flexibility of single-stranded DNA

1.1 Chemical structure and conformational flexibility of single-stranded DNA 1 DNA structures 1.1 Chemical structure and conformational flexibility of single-stranded DNA Single-stranded DNA (ssdna) is the building base for the double helix and other DNA structures. All these structures

More information

DNA Structures. Biochemistry 201 Molecular Biology January 5, 2000 Doug Brutlag. The Structural Conformations of DNA

DNA Structures. Biochemistry 201 Molecular Biology January 5, 2000 Doug Brutlag. The Structural Conformations of DNA DNA Structures Biochemistry 201 Molecular Biology January 5, 2000 Doug Brutlag The Structural Conformations of DNA 1. The principle message of this lecture is that the structure of DNA is much more flexible

More information

A STUDY OF INTELLIGENT TECHNIQUES FOR PROTEIN SECONDARY STRUCTURE PREDICTION. Hanan Hendy, Wael Khalifa, Mohamed Roushdy, Abdel Badeeh Salem

A STUDY OF INTELLIGENT TECHNIQUES FOR PROTEIN SECONDARY STRUCTURE PREDICTION. Hanan Hendy, Wael Khalifa, Mohamed Roushdy, Abdel Badeeh Salem International Journal "Information Models and Analyses" Volume 4, Number 1, 2015 3 A STUDY OF INTELLIGENT TECHNIQUES FOR PROTEIN SECONDARY STRUCTURE PREDICTION Hanan Hendy, Wael Khalifa, Mohamed Roushdy,

More information