1. Protein Data Bank (PDB) 1. Protein Data Bank (PDB)
|
|
- Clementine Gray
- 5 years ago
- Views:
Transcription
1 Protein structure databases; visualization; and classifications 1. Introduction to Protein Data Bank (PDB) 2. Free graphic software for 3D structure visualization 3. Hierarchical classification of protein domains 1. Protein Data Bank (PDB) Protein Data Bank: maintained by the Research Collaboratory for Structural Bioinformatics (RCSB) Structures 10-Sep Structures 15-Mar Structures 05-Oct Structures 20-Jan-2004 Also contains structures of other bio-macromolecules: DNA, carbohydrates and protein-dna complexes. 1. Protein Data Bank (PDB) 1. Protein Data Bank (PDB) PDB Content Growth PDB Presentation of Selected Molecules
2 Only deposited data is actually available Many structures not deposited in PDB, why? Structures available for soluble proteins A few dozen entries for membrane protein domains, why? X-ray data only for those proteins that crystallize well or diffract properly. Why? NMR structures are usually for small proteins How to survey the size of NMR-determined proteins? Alternative Source of Structure: NCBI Estimated that structural data available for only 10-15% of all known proteins. Protein Structure in PDB Text files Each entry is specified by a unique 4-letter code (PDB code): say 1HUY for a variant of GFP; 1BGK for a 37-residue toxin protein isolated from sea anemone 1HUY and 1BGK Header information Atomic coordinates in Å (1 Ångstrom = 1.0e-10 m) Header Details Identifies the molecule, modifications, date of release Host organism, keywords, method of study Authors, reference, resolution for X-ray structure Sequence, reference The Atomic Coordinates XYZ Coordinates for each atom (starting with ATOM, only heavy atom for X-ray structure) from the first residue to the last XYZ coordinates for any ligands (starting with HETATM) complexed to the bio-macromolecule O atoms of water molecules (starting with HETATM, normally at the last part of the xyz coordinate section) Usually, for X-ray structure, resolution is not high enough to locate H atoms: hence only heavy atoms are shown in the PDB file. For NMR structure, all atoms (including hydrogen atoms) are specified in the PDB file.
3 X-ray structure 1HUY NMR structure 1BGK 2. Free Software for Protein Structure Visualization RASMOL: available for all platforms Swiss PDB Viewer: from Swiss-Prot Chemscape Chime Plug-in: for PC and Mac YASARA: MOLMOL: MOLecule analysis and MOLecule display Ribbon representation by RasMol 1HUY An Improved Yellow Variant Of Green Fluorescent Protein From Tsien s group J.Biol.Chem (2001) Ribbon representation by YASARA Ribbon representation by YASARA
4 Ribbon representation by MOLMOL An ensemble of 15 structures (NMR, toxin Bgk); Proton atoms also included 15 all-atom structures of the sea anemone toxin Bgk 15 backbone structures of the sea anemone toxin Bgk Line representation Ribbon representation Space-filling representation
5 3. Hierarchical classification of protein domains: SCOP & CATH SCOP: Structural Classification of Proteins University of Cambridge, UK Hyperlink in Singapore: CATH: Class Architecture Topology --Homologous Superfamily Sequence family University College London, UK Basis for protein classification Proteins adopt a limited number of topologies More than 50,000 sequences fold into ~1000 unique folds. Homologous sequences have similar structures Usually, when sequence identity>30%, proteins adopt the same fold. Even in the absence of sequence homology, some folds are preferred by vastly different sequences. The active site is highly conserved A subset of functionally critical residues are found to be conserved even the folds are varied. How many unique folds do organisms use to express functions? Growth of Protein Databases Sequence space > 50,000 Conformational space Many sequences to form one unique fold 0 ~1,000??????? No of Sequences 1986 Sequences Structures Folds No. of Structures and Folds Structural Classification of Proteins SCOP University of Cambridge, UK: mirrored at Singapore: contains PDB entries grouped hierachically by: Structural class, Fold, Superfamily, Family, Individual member (domain-based) Structural Classification of Proteins SCOP Family Proteins are clustered together into families on the basis of one of two criteria that imply their having a common evolutionary origin: All proteins that have residue identities of 30% and greater; Proteins with lower sequence identities but whose functions and structures are very similar Example, globins with sequence identities of 15%.
6 Structural Classification of Proteins SCOP Superfamily Families, whose proteins have low sequence identities but whose structures and, in many cases, functional features suggest that a common evolutionary origin is probable, are placed together in superfamilies Structural Classification of Proteins SCOP Fold Superfamilies and families are defined as having a common fold if their proteins have same major secondary structures in same arrangement with the same topological connections. Example, actin, the ATPase domain of the heatshock protein and hexokinase Structural Classification of Proteins SCOP Class For convenience of users, the different folds have been grouped into classes. Most of the folds are assigned to one of a few structural classes on the basis of the secondary structures of which they composed SCOP Class: All-α topologies SCOP Class: All-α topologies cytochrome b-562 ferritin
7 SCOP Class: All-α topologies SCOP Class: All-β topologies β sandwiches β-barrels SCOP Class: All-β topologies SCOP Class: α/β Topologies α/β horseshoe SCOP Class: α/β Topologies SCOP Class: α/β Topologies α/β barrels
8 SCOP Class: Alpha+Beta Topologies SCOP Class: Alpha+Beta Topologies Ubiquitin 1ubi Ubiquitin Ubiquitin 1ubi 1ubi
9 Ubiquitin 1ubi CATH database CATH: Class Architecture Topology--Homologous Superfamily--Sequence family Orengo et al. CATH-a hierarchical classification of protein domain structures (1997) Structure 5, Sequence identity >30% Sequence identity >70% the same overall fold the same overall fold + the similar function CATH database CATH database Class Derived from secondary structure content, is assigned for more than 90% of protein structures automatically. Architecture Describes the gross orientation of secondary structures, independent of connectivities, is currently assigned manually. Topology Clusters structures according to their topological connections and numbers of secondary structures. Homologous superfamilies Cluster proteins with highly similar structures and functions. The assignments of structures to topology families and homologous superfamilies are made by sequence and structure comparisons. Sequence families Structures within each H-level are further clustered on sequence identity. Domains clustered in the same sequence families have sequence identities >35%. Non-identical sequence domains, Identical sequence domains, Domains The class (C), architecture (A) and topology (T) levels in the CATH database Class Architecture Topology
10 The class (C), architecture (A) and topology (T) levels in the CATH database CATH architectures Homologous Superfamily CATH architectures (cont.) The protein structure universe in the PDB (1997) by a CATH wheel The distribution of nonhomologous structures (i.e. a single representative from each homologous superfamily at the Hlevel in CATH) amongst the different classes (C), architectures (A) and fold families (T) in the CATH database. SCOP / CATH -> DALI DALI Comparing protein structures in 3D SCOP & CATH Hierarchical and based on abstractions Include some manual aspects and are curated by experts in the field of protein structure Dali Presentation of results of computer classification, where the methods that underlie the classification remain internal Structure comparison α/β β α anti parallel β barrel α β meander More information about DALI Touring protein fold space with Dali/FSSP: Liisa Holm and Chris Sander 10
11 Compare 3D protein structures by Dali Compare 3D protein structures by Dali The FSSP database (Fold classification based on Structure-Structure alignment of Proteins) is based on exhaustive all-against-all 3D structure comparison of protein structures currently in the Protein Data Bank (PDB). The classification and alignments are automatically maintained and continuously updated using the Dali search engine. Dali Domain Dictionary Structural domains are delineated automatically using the criteria of recurrence and compactness. Each domain is assigned a Domain Classification number DC_l_m_n_p, where: l - fold space attractor region m - globular folding topology n - functional family p - sequence family Compare 3D protein structures by Dali Functional families Evolutionary relationships from strong structural similarities which are accompanied by functional or sequence similarities. Functional families are branches of the fold dendrogram where all pairs have a high average neural network prediction for being homologous. Sequence families Representative subset of the Protein Data Bank extracted using a 25 % sequence identity threshold. All-against-all structure comparison was carried out within the set of representatives. Homologues are only shown aligned to their representative. Compare 3D protein structures by Dali Fold types Fold types are defined as clusters of structural neighbors in fold space with average pairwise Z- scores (by Dali) above 2. Structural neighbours of 1urnA (top left). 1mli (bottom right) has the same topology even though there are shifts in the relative orientation of secondary structure elements Summary Protein structure database (PDB) Protein structure visualization software Structural classification, databases and servers
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 2/15/07 CAP5510 1 EM Algorithm Goal: Find θ, Z that maximize Pr
More informationProtein Structure: Data Bases and Classification Ingo Ruczinski
Protein Structure: Data Bases and Classification Ingo Ruczinski Department of Biostatistics, Johns Hopkins University Reference Bourne and Weissig Structural Bioinformatics Wiley, 2003 More References
More informationCS612 - Algorithms in Bioinformatics
Fall 2017 Databases and Protein Structure Representation October 2, 2017 Molecular Biology as Information Science > 12, 000 genomes sequenced, mostly bacterial (2013) > 5x10 6 unique sequences available
More informationProcheck output. Bond angles (Procheck) Structure verification and validation Bond lengths (Procheck) Introduction to Bioinformatics.
Structure verification and validation Bond lengths (Procheck) Introduction to Bioinformatics Iosif Vaisman Email: ivaisman@gmu.edu ----------------------------------------------------------------- Bond
More informationBioinformatics. Proteins II. - Pattern, Profile, & Structure Database Searching. Robert Latek, Ph.D. Bioinformatics, Biocomputing
Bioinformatics Proteins II. - Pattern, Profile, & Structure Database Searching Robert Latek, Ph.D. Bioinformatics, Biocomputing WIBR Bioinformatics Course, Whitehead Institute, 2002 1 Proteins I.-III.
More informationCMPS 6630: Introduction to Computational Biology and Bioinformatics. Structure Comparison
CMPS 6630: Introduction to Computational Biology and Bioinformatics Structure Comparison Protein Structure Comparison Motivation Understand sequence and structure variability Understand Domain architecture
More informationAmino Acid Structures from Klug & Cummings. 10/7/2003 CAP/CGS 5991: Lecture 7 1
Amino Acid Structures from Klug & Cummings 10/7/2003 CAP/CGS 5991: Lecture 7 1 Amino Acid Structures from Klug & Cummings 10/7/2003 CAP/CGS 5991: Lecture 7 2 Amino Acid Structures from Klug & Cummings
More informationBioinformatics. Macromolecular structure
Bioinformatics Macromolecular structure Contents Determination of protein structure Structure databases Secondary structure elements (SSE) Tertiary structure Structure analysis Structure alignment Domain
More informationCAP 5510: Introduction to Bioinformatics CGS 5166: Bioinformatics Tools. Giri Narasimhan
CAP 5510: Introduction to Bioinformatics CGS 5166: Bioinformatics Tools Giri Narasimhan ECS 254; Phone: x3748 giri@cis.fiu.edu www.cis.fiu.edu/~giri/teach/bioinff18.html Proteins and Protein Structure
More informationAnalysis and Prediction of Protein Structure (I)
Analysis and Prediction of Protein Structure (I) Jianlin Cheng, PhD School of Electrical Engineering and Computer Science University of Central Florida 2006 Free for academic use. Copyright @ Jianlin Cheng
More informationGetting To Know Your Protein
Getting To Know Your Protein Comparative Protein Analysis: Part III. Protein Structure Prediction and Comparison Robert Latek, PhD Sr. Bioinformatics Scientist Whitehead Institute for Biomedical Research
More informationProtein structure analysis. Risto Laakso 10th January 2005
Protein structure analysis Risto Laakso risto.laakso@hut.fi 10th January 2005 1 1 Summary Various methods of protein structure analysis were examined. Two proteins, 1HLB (Sea cucumber hemoglobin) and 1HLM
More informationChapter 2 Structures. 2.1 Introduction Storing Protein Structures The PDB File Format
Chapter 2 Structures 2.1 Introduction The three-dimensional (3D) structure of a protein contains a lot of information on its function, and can be used for devising ways of modifying it (propose mutants,
More informationProtein structure alignments
Protein structure alignments Proteins that fold in the same way, i.e. have the same fold are often homologs. Structure evolves slower than sequence Sequence is less conserved than structure If BLAST gives
More informationVisualization of Macromolecular Structures
Visualization of Macromolecular Structures Present by: Qihang Li orig. author: O Donoghue, et al. Structural biology is rapidly accumulating a wealth of detailed information. Over 60,000 high-resolution
More informationHMM applications. Applications of HMMs. Gene finding with HMMs. Using the gene finder
HMM applications Applications of HMMs Gene finding Pairwise alignment (pair HMMs) Characterizing protein families (profile HMMs) Predicting membrane proteins, and membrane protein topology Gene finding
More information2MHR. Protein structure classification is important because it organizes the protein structure universe that is independent of sequence similarity.
Protein structure classification is important because it organizes the protein structure universe that is independent of sequence similarity. A global picture of the protein universe will help us to understand
More informationEBI web resources II: Ensembl and InterPro. Yanbin Yin Spring 2013
EBI web resources II: Ensembl and InterPro Yanbin Yin Spring 2013 1 Outline Intro to genome annotation Protein family/domain databases InterPro, Pfam, Superfamily etc. Genome browser Ensembl Hands on Practice
More informationWeek 10: Homology Modelling (II) - HHpred
Week 10: Homology Modelling (II) - HHpred Course: Tools for Structural Biology Fabian Glaser BKU - Technion 1 2 Identify and align related structures by sequence methods is not an easy task All comparative
More informationSCOP. all-β class. all-α class, 3 different folds. T4 endonuclease V. 4-helical cytokines. Globin-like
SCOP all-β class 4-helical cytokines T4 endonuclease V all-α class, 3 different folds Globin-like TIM-barrel fold α/β class Profilin-like fold α+β class http://scop.mrc-lmb.cam.ac.uk/scop CATH Class, Architecture,
More informationBasics of protein structure
Today: 1. Projects a. Requirements: i. Critical review of one paper ii. At least one computational result b. Noon, Dec. 3 rd written report and oral presentation are due; submit via email to bphys101@fas.harvard.edu
More informationHeteropolymer. Mostly in regular secondary structure
Heteropolymer - + + - Mostly in regular secondary structure 1 2 3 4 C >N trace how you go around the helix C >N C2 >N6 C1 >N5 What s the pattern? Ci>Ni+? 5 6 move around not quite 120 "#$%&'!()*(+2!3/'!4#5'!1/,#64!#6!,6!
More informationSection II Understanding the Protein Data Bank
Section II Understanding the Protein Data Bank The focus of Section II of the MSOE Center for BioMolecular Modeling Jmol Training Guide is to learn about the Protein Data Bank, the worldwide repository
More informationDATE A DAtabase of TIM Barrel Enzymes
DATE A DAtabase of TIM Barrel Enzymes 2 2.1 Introduction.. 2.2 Objective and salient features of the database 2.2.1 Choice of the dataset.. 2.3 Statistical information on the database.. 2.4 Features....
More informationNumber sequence representation of protein structures based on the second derivative of a folded tetrahedron sequence
Number sequence representation of protein structures based on the second derivative of a folded tetrahedron sequence Naoto Morikawa (nmorika@genocript.com) October 7, 2006. Abstract A protein is a sequence
More informationBCB 444/544 Fall 07 Dobbs 1
BCB 444/544 Lecture 21 Protein Structure Visualization, Classification & Comparison Secondary Structure #21_Oct10 Required Reading (before lecture) Mon Oct 8 - Lecture 20 Protein Secondary Structure Chp
More informationProtein Structure Prediction 11/11/05
11/11/05 Protein Structure Prediction & Modeling Bioinformatics Seminars Nov 11 Fri 12:10 BCB Seminar in E164 Lago Building Supertrees Using Distances Steve Willson, Dept of Mathematics http://www.bcb.iastate.edu/courses/bcb691-f2005.html
More informationALL LECTURES IN SB Introduction
1. Introduction 2. Molecular Architecture I 3. Molecular Architecture II 4. Molecular Simulation I 5. Molecular Simulation II 6. Bioinformatics I 7. Bioinformatics II 8. Prediction I 9. Prediction II ALL
More informationCAP 5510 Lecture 3 Protein Structures
CAP 5510 Lecture 3 Protein Structures Su-Shing Chen Bioinformatics CISE 8/19/2005 Su-Shing Chen, CISE 1 Protein Conformation 8/19/2005 Su-Shing Chen, CISE 2 Protein Conformational Structures Hydrophobicity
More informationExamples of Protein Modeling. Protein Modeling. Primary Structure. Protein Structure Description. Protein Sequence Sources. Importing Sequences to MOE
Examples of Protein Modeling Protein Modeling Visualization Examination of an experimental structure to gain insight about a research question Dynamics To examine the dynamics of protein structures To
More informationThe CATH Database provides insights into protein structure/function relationships
1999 Oxford University Press Nucleic Acids Research, 1999, Vol. 27, No. 1 275 279 The CATH Database provides insights into protein structure/function relationships C. A. Orengo, F. M. G. Pearl, J. E. Bray,
More informationBioinformatics. Dept. of Computational Biology & Bioinformatics
Bioinformatics Dept. of Computational Biology & Bioinformatics 3 Bioinformatics - play with sequences & structures Dept. of Computational Biology & Bioinformatics 4 ORGANIZATION OF LIFE ROLE OF BIOINFORMATICS
More informationCOMP 598 Advanced Computational Biology Methods & Research. Introduction. Jérôme Waldispühl School of Computer Science McGill University
COMP 598 Advanced Computational Biology Methods & Research Introduction Jérôme Waldispühl School of Computer Science McGill University General informations (1) Office hours: by appointment Office: TR3018
More informationProtein Structure Prediction and Display
Protein Structure Prediction and Display Goal Take primary structure (sequence) and, using rules derived from known structures, predict the secondary structure that is most likely to be adopted by each
More informationGenome Databases The CATH database
Genome Databases The CATH database Michael Knudsen 1 and Carsten Wiuf 1,2* 1 Bioinformatics Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark 2 Centre for Membrane Pumps in Cells and Disease
More informationBiophysics 101: Genomics & Computational Biology. Section 8: Protein Structure S T R U C T U R E P R O C E S S. Outline.
Biophysics 101: Genomics & Computational Biology Section 8: Protein Structure Faisal Reza Nov. 11 th, 2003 B101.pdb from PS5 shown at left with: animated ball and stick model, colored CPK H-bonds on, colored
More informationProtein Structure Prediction II Lecturer: Serafim Batzoglou Scribe: Samy Hamdouche
Protein Structure Prediction II Lecturer: Serafim Batzoglou Scribe: Samy Hamdouche The molecular structure of a protein can be broken down hierarchically. The primary structure of a protein is simply its
More informationStructure to Function. Molecular Bioinformatics, X3, 2006
Structure to Function Molecular Bioinformatics, X3, 2006 Structural GeNOMICS Structural Genomics project aims at determination of 3D structures of all proteins: - organize known proteins into families
More informationPreparing a PDB File
Figure 1: Schematic view of the ligand-binding domain from the vitamin D receptor (PDB file 1IE9). The crystallographic waters are shown as small spheres and the bound ligand is shown as a CPK model. HO
More informationEBI web resources II: Ensembl and InterPro
EBI web resources II: Ensembl and InterPro Yanbin Yin http://www.ebi.ac.uk/training/online/course/ 1 Homework 3 Go to http://www.ebi.ac.uk/interpro/training.htmland finish the second online training course
More informationDictionary of ligands
Dictionary of ligands Some of the web and other resources Small molecules DrugBank: http://www.drugbank.ca/ ZINC: http://zinc.docking.org/index.shtml PRODRUG: http://www.compbio.dundee.ac.uk/web_servers/prodrg_down.html
More informationProtein Structures. 11/19/2002 Lecture 24 1
Protein Structures 11/19/2002 Lecture 24 1 All 3 figures are cartoons of an amino acid residue. 11/19/2002 Lecture 24 2 Peptide bonds in chains of residues 11/19/2002 Lecture 24 3 Angles φ and ψ in the
More informationHomology. and. Information Gathering and Domain Annotation for Proteins
Homology and Information Gathering and Domain Annotation for Proteins Outline WHAT IS HOMOLOGY? HOW TO GATHER KNOWN PROTEIN INFORMATION? HOW TO ANNOTATE PROTEIN DOMAINS? EXAMPLES AND EXERCISES Homology
More informationProtein Science (1997), 6: Cambridge University Press. Printed in the USA. Copyright 1997 The Protein Society
1 of 5 1/30/00 8:08 PM Protein Science (1997), 6: 246-248. Cambridge University Press. Printed in the USA. Copyright 1997 The Protein Society FOR THE RECORD LPFC: An Internet library of protein family
More informationHomology Modeling (Comparative Structure Modeling) GBCB 5874: Problem Solving in GBCB
Homology Modeling (Comparative Structure Modeling) Aims of Structural Genomics High-throughput 3D structure determination and analysis To determine or predict the 3D structures of all the proteins encoded
More informationIntroduction to Comparative Protein Modeling. Chapter 4 Part I
Introduction to Comparative Protein Modeling Chapter 4 Part I 1 Information on Proteins Each modeling study depends on the quality of the known experimental data. Basis of the model Search in the literature
More informationCMPS 3110: Bioinformatics. Tertiary Structure Prediction
CMPS 3110: Bioinformatics Tertiary Structure Prediction Tertiary Structure Prediction Why Should Tertiary Structure Prediction Be Possible? Molecules obey the laws of physics! Conformation space is finite
More informationSupporting Online Material for
www.sciencemag.org/cgi/content/full/309/5742/1868/dc1 Supporting Online Material for Toward High-Resolution de Novo Structure Prediction for Small Proteins Philip Bradley, Kira M. S. Misura, David Baker*
More informationCMPS 6630: Introduction to Computational Biology and Bioinformatics. Tertiary Structure Prediction
CMPS 6630: Introduction to Computational Biology and Bioinformatics Tertiary Structure Prediction Tertiary Structure Prediction Why Should Tertiary Structure Prediction Be Possible? Molecules obey the
More informationPDBe TUTORIAL. PDBePISA (Protein Interfaces, Surfaces and Assemblies)
PDBe TUTORIAL PDBePISA (Protein Interfaces, Surfaces and Assemblies) http://pdbe.org/pisa/ This tutorial introduces the PDBePISA (PISA for short) service, which is a webbased interactive tool offered by
More informationLarge-Scale Genomic Surveys
Bioinformatics Subtopics Fold Recognition Secondary Structure Prediction Docking & Drug Design Protein Geometry Protein Flexibility Homology Modeling Sequence Alignment Structure Classification Gene Prediction
More informationNMR, X-ray Diffraction, Protein Structure, and RasMol
NMR, X-ray Diffraction, Protein Structure, and RasMol Introduction So far we have been mostly concerned with the proteins themselves. The techniques (NMR or X-ray diffraction) used to determine a structure
More informationStatistical Machine Learning Methods for Bioinformatics IV. Neural Network & Deep Learning Applications in Bioinformatics
Statistical Machine Learning Methods for Bioinformatics IV. Neural Network & Deep Learning Applications in Bioinformatics Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia
More informationLarge-Scale Genomic Surveys
Bioinformatics Subtopics Fold Recognition Secondary Structure Prediction Docking & Drug Design Protein Geometry Structural Informatics Homology Modeling Sequence Alignment Structure Classification Gene
More informationD Dobbs ISU - BCB 444/544X 1
11/7/05 Protein Structure: Classification, Databases, Visualization Announcements BCB 544 Projects - Important Dates: Nov 2 Wed noon - Project proposals due to David/Drena Nov 4 Fri PM - Approvals/responses
More informationSyllabus of BIOINF 528 (2017 Fall, Bioinformatics Program)
Syllabus of BIOINF 528 (2017 Fall, Bioinformatics Program) Course Name: Structural Bioinformatics Course Description: Instructor: This course introduces fundamental concepts and methods for structural
More informationCopyright Mark Brandt, Ph.D A third method, cryogenic electron microscopy has seen increasing use over the past few years.
Structure Determination and Sequence Analysis The vast majority of the experimentally determined three-dimensional protein structures have been solved by one of two methods: X-ray diffraction and Nuclear
More informationIdentification of Representative Protein Sequence and Secondary Structure Prediction Using SVM Approach
Identification of Representative Protein Sequence and Secondary Structure Prediction Using SVM Approach Prof. Dr. M. A. Mottalib, Md. Rahat Hossain Department of Computer Science and Information Technology
More informationComparing Protein Structures. Why?
7.91 Amy Keating Comparing Protein Structures Why? detect evolutionary relationships identify recurring motifs detect structure/function relationships predict function assess predicted structures classify
More informationAlpha-helical Topology and Tertiary Structure Prediction of Globular Proteins Scott R. McAllister Christodoulos A. Floudas Princeton University
Alpha-helical Topology and Tertiary Structure Prediction of Globular Proteins Scott R. McAllister Christodoulos A. Floudas Princeton University Department of Chemical Engineering Program of Applied and
More informationA General Model for Amino Acid Interaction Networks
Author manuscript, published in "N/P" A General Model for Amino Acid Interaction Networks Omar GACI and Stefan BALEV hal-43269, version - Nov 29 Abstract In this paper we introduce the notion of protein
More informationIntroduction to" Protein Structure
Introduction to" Protein Structure Function, evolution & experimental methods Thomas Blicher, Center for Biological Sequence Analysis Learning Objectives Outline the basic levels of protein structure.
More informationJoana Pereira Lamzin Group EMBL Hamburg, Germany. Small molecules How to identify and build them (with ARP/wARP)
Joana Pereira Lamzin Group EMBL Hamburg, Germany Small molecules How to identify and build them (with ARP/wARP) The task at hand To find ligand density and build it! Fitting a ligand We have: electron
More informationChapter 5. Proteomics and the analysis of protein sequence Ⅱ
Proteomics Chapter 5. Proteomics and the analysis of protein sequence Ⅱ 1 Pairwise similarity searching (1) Figure 5.5: manual alignment One of the amino acids in the top sequence has no equivalent and
More informationUser Guide for LeDock
User Guide for LeDock Hongtao Zhao, PhD Email: htzhao@lephar.com Website: www.lephar.com Copyright 2017 Hongtao Zhao. All rights reserved. Introduction LeDock is flexible small-molecule docking software,
More informationMolecular Modeling. Prediction of Protein 3D Structure from Sequence. Vimalkumar Velayudhan. May 21, 2007
Molecular Modeling Prediction of Protein 3D Structure from Sequence Vimalkumar Velayudhan Jain Institute of Vocational and Advanced Studies May 21, 2007 Vimalkumar Velayudhan Molecular Modeling 1/23 Outline
More informationMultiple structure alignment with mstali
Multiple structure alignment with mstali Shealy and Valafar Shealy and Valafar BMC Bioinformatics 2012, 13:105 Shealy and Valafar BMC Bioinformatics 2012, 13:105 SOFTWARE Open Access Multiple structure
More informationProtein Structure and Function Prediction using Kernel Methods.
Protein Structure and Function Prediction using Kernel Methods. A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Huzefa Rangwala IN PARTIAL FULFILLMENT OF THE
More informationRNA and Protein Structure Prediction
RNA and Protein Structure Prediction Bioinformatics: Issues and Algorithms CSE 308-408 Spring 2007 Lecture 18-1- Outline Multi-Dimensional Nature of Life RNA Secondary Structure Prediction Protein Structure
More informationHomology and Information Gathering and Domain Annotation for Proteins
Homology and Information Gathering and Domain Annotation for Proteins Outline Homology Information Gathering for Proteins Domain Annotation for Proteins Examples and exercises The concept of homology The
More informationProtein Structure Analysis and Verification. Course S Basics for Biosystems of the Cell exercise work. Maija Nevala, BIO, 67485U 16.1.
Protein Structure Analysis and Verification Course S-114.2500 Basics for Biosystems of the Cell exercise work Maija Nevala, BIO, 67485U 16.1.2008 1. Preface When faced with an unknown protein, scientists
More informationFrancisco Melo, Damien Devos, Eric Depiereux and Ernest Feytmans
From: ISMB-97 Proceedings. Copyright 1997, AAAI (www.aaai.org). All rights reserved. ANOLEA: A www Server to Assess Protein Structures Francisco Melo, Damien Devos, Eric Depiereux and Ernest Feytmans Facultés
More informationPrediction and refinement of NMR structures from sparse experimental data
Prediction and refinement of NMR structures from sparse experimental data Jeff Skolnick Director Center for the Study of Systems Biology School of Biology Georgia Institute of Technology Overview of talk
More informationIT og Sundhed 2010/11
IT og Sundhed 2010/11 Sequence based predictors. Secondary structure and surface accessibility Bent Petersen 13 January 2011 1 NetSurfP Real Value Solvent Accessibility predictions with amino acid associated
More informationFull wwpdb NMR Structure Validation Report i
Full wwpdb NMR Structure Validation Report i Feb 17, 2018 06:22 am GMT PDB ID : 141D Title : SOLUTION STRUCTURE OF A CONSERVED DNA SEQUENCE FROM THE HIV-1 GENOME: RESTRAINED MOLECULAR DYNAMICS SIMU- LATION
More informationProtein Structure. Hierarchy of Protein Structure. Tertiary structure. independently stable structural unit. includes disulfide bonds
Protein Structure Hierarchy of Protein Structure 2 3 Structural element Primary structure Secondary structure Super-secondary structure Domain Tertiary structure Quaternary structure Description amino
More information1.b What are current best practices for selecting an initial target ligand atomic model(s) for structure refinement from X-ray diffraction data?!
1.b What are current best practices for selecting an initial target ligand atomic model(s) for structure refinement from X-ray diffraction data?! Visual analysis: Identification of ligand density from
More informationwwpdb X-ray Structure Validation Summary Report
wwpdb X-ray Structure Validation Summary Report io Jan 31, 2016 06:45 PM GMT PDB ID : 1CBS Title : CRYSTAL STRUCTURE OF CELLULAR RETINOIC-ACID-BINDING PROTEINS I AND II IN COMPLEX WITH ALL-TRANS-RETINOIC
More informationDesign of a Novel Globular Protein Fold with Atomic-Level Accuracy
Design of a Novel Globular Protein Fold with Atomic-Level Accuracy Brian Kuhlman, Gautam Dantas, Gregory C. Ireton, Gabriele Varani, Barry L. Stoddard, David Baker Presented by Kate Stafford 4 May 05 Protein
More informationAnalysis on sliding helices and strands in protein structural comparisons: A case study with protein kinases
Sliding helices and strands in structural comparisons 921 Analysis on sliding helices and strands in protein structural comparisons: A case study with protein kinases V S GOWRI, K ANAMIKA, S GORE 1 and
More informationSUPPLEMENTARY MATERIALS
SUPPLEMENTARY MATERIALS Enhanced Recognition of Transmembrane Protein Domains with Prediction-based Structural Profiles Baoqiang Cao, Aleksey Porollo, Rafal Adamczak, Mark Jarrell and Jaroslaw Meller Contact:
More informationTHEORY. Based on sequence Length According to the length of sequence being compared it is of following two types
Exp 11- THEORY Sequence Alignment is a process of aligning two sequences to achieve maximum levels of identity between them. This help to derive functional, structural and evolutionary relationships between
More informationComputing RMSD and fitting protein structures: how I do it and how others do it
Computing RMSD and fitting protein structures: how I do it and how others do it Bertalan Kovács, Pázmány Péter Catholic University 03/08/2016 0. Introduction All the following algorithms have been implemented
More informationGarib N Murshudov MRC-LMB, Cambridge
Garib N Murshudov MRC-LMB, Cambridge Contents Introduction AceDRG: two functions Validation of entries in the DB and derived data Generation of new ligand description Jligand for link description Conclusions
More informationMolecular Modeling lecture 4. Rotation Least-squares Superposition Structure-based alignment algorithms
Molecular Modeling 2018 -- lecture 4 Rotation Least-squares Superposition Structure-based alignment algorithms Rotation is addition in polar coordinates 2 What happens when you move the mouse to rotate
More informationProtein Bioinformatics Computer lab #1 Friday, April 11, 2008 Sean Prigge and Ingo Ruczinski
Protein Bioinformatics 260.655 Computer lab #1 Friday, April 11, 2008 Sean Prigge and Ingo Ruczinski Goals: Approx. Time [1] Use the Protein Data Bank PDB website. 10 minutes [2] Use the WebMol Viewer.
More informationHomology Modeling. Roberto Lins EPFL - summer semester 2005
Homology Modeling Roberto Lins EPFL - summer semester 2005 Disclaimer: course material is mainly taken from: P.E. Bourne & H Weissig, Structural Bioinformatics; C.A. Orengo, D.T. Jones & J.M. Thornton,
More informationProtein structure similarity based on multi-view images generated from 3D molecular visualization
Protein structure similarity based on multi-view images generated from 3D molecular visualization Chendra Hadi Suryanto, Shukun Jiang, Kazuhiro Fukui Graduate School of Systems and Information Engineering,
More informationProtein Data Bank Contents Guide: Atomic Coordinate Entry Format Description. Version 3.0, December 1, 2006 Updated to Version 3.
Protein Data Bank Contents Guide: Atomic Coordinate Entry Format Description Version 3.0, December 1, 2006 Updated to Version 3.01 March 30, 2007 1. Introduction The Protein Data Bank (PDB) is an archive
More informationCHEM 463: Advanced Inorganic Chemistry Modeling Metalloproteins for Structural Analysis
CHEM 463: Advanced Inorganic Chemistry Modeling Metalloproteins for Structural Analysis Purpose: The purpose of this laboratory is to introduce some of the basic visualization and modeling tools for viewing
More informationMotif Prediction in Amino Acid Interaction Networks
Motif Prediction in Amino Acid Interaction Networks Omar GACI and Stefan BALEV Abstract In this paper we represent a protein as a graph where the vertices are amino acids and the edges are interactions
More information2 Dean C. Adams and Gavin J. P. Naylor the best three-dimensional ordination of the structure space is found through an eigen-decomposition (correspon
A Comparison of Methods for Assessing the Structural Similarity of Proteins Dean C. Adams and Gavin J. P. Naylor? Dept. Zoology and Genetics, Iowa State University, Ames, IA 50011, U.S.A. 1 Introduction
More informationMolecular Modeling lecture 17, Tue, Mar. 19. Rotation Least-squares Superposition Structure-based alignment algorithms
Molecular Modeling 2019 -- lecture 17, Tue, Mar. 19 Rotation Least-squares Superposition Structure-based alignment algorithms Matrices and vectors Matrix algebra allows you to express multiple equations
More informationPresenter: She Zhang
Presenter: She Zhang Introduction Dr. David Baker Introduction Why design proteins de novo? It is not clear how non-covalent interactions favor one specific native structure over many other non-native
More informationPymol Practial Guide
Pymol Practial Guide Pymol is a powerful visualizor very convenient to work with protein molecules. Its interface may seem complex at first, but you will see that with a little practice is simple and powerful
More informationFull wwpdb X-ray Structure Validation Report i
Full wwpdb X-ray Structure Validation Report i Mar 13, 2018 04:03 pm GMT PDB ID : 5NMJ Title : Chicken GRIFIN (crystallisation ph: 6.5) Authors : Ruiz, F.M.; Romero, A. Deposited on : 2017-04-06 Resolution
More informationIntroduction Molecular Structure Script Console External resources Advanced topics. JMol tutorial. Giovanni Morelli.
Gen 19th, 2017 1 2 Create and edit Display and view Mesurament and labelling Surface and Orbitals 3 4 from Database Protein Enzyme Crystal Structure and Unit Cell 5 Symmetry Animation General information
More informationMolecular Visualization. Introduction
Molecular Visualization Jeffry D. Madura Department of Chemistry & Biochemistry Center for Computational Sciences Duquesne University Introduction Assessments of change, dynamics, and cause and effect
More informationProtein Structures: Experiments and Modeling. Patrice Koehl
Protein Structures: Experiments and Modeling Patrice Koehl Structural Bioinformatics: Proteins Proteins: Sources of Structure Information Proteins: Homology Modeling Proteins: Ab initio prediction Proteins:
More informationAnnotation Error in Public Databases ALEXANDRA SCHNOES UNIVERSITY OF CALIFORNIA, SAN FRANCISCO OCTOBER 25, 2010
Annotation Error in Public Databases ALEXANDRA SCHNOES UNIVERSITY OF CALIFORNIA, SAN FRANCISCO OCTOBER 25, 2010 1 New genomes (and metagenomes) sequenced every day... 2 3 3 3 3 3 3 3 3 3 Computational
More information