Tertiary protein structure modelling May 31, 2005 Graded papers will handed back Thursday Quiz#4 today Learning objectives- Continue to learn how to manipulate.

Slides:



Advertisements
Similar presentations
Applications of Homology Modeling
Advertisements

PROTEOMICS 3D Structure Prediction. Contents Protein 3D structure. –Basics –PDB –Prediction approaches Protein classification.
Protein Threading Zhanggroup Overview Background protein structure protein folding and designability Protein threading Current limitations.
Profiles for Sequences
Prediction to Protein Structure Fall 2005 CSC 487/687 Computing for Bioinformatics.
Structural bioinformatics
Structure Prediction. Tertiary protein structure: protein folding Three main approaches: [1] experimental determination (X-ray crystallography, NMR) [2]
CENTER FOR BIOLOGICAL SEQUENCE ANALYSISTECHNICAL UNIVERSITY OF DENMARK DTU Homology Modeling Anne Mølgaard, CBS, BioCentrum, DTU.
Tertiary protein structure viewing and prediction July 1, 2009 Learning objectives- Learn how to manipulate protein structures with Deep View software.
HIDDEN MARKOV MODELS IN MULTIPLE ALIGNMENT. 2 HMM Architecture Markov Chains What is a Hidden Markov Model(HMM)? Components of HMM Problems of HMMs.
Structure Prediction. Tertiary protein structure: protein folding Three main approaches: [1] experimental determination (X-ray crystallography, NMR) [2]
FSSP uses DALI alignments to classify structures all PDB entries representative set of structures representative set of domains group domains into fold.
Mining frequent patterns in protein structures: A study of protease families Dr. Charles Yan CS6890 (Section 001) ST: Bioinformatics The Machine Learning.
Tertiary protein structure viewing and prediction July 5, 2006 Learning objectives- Learn how to manipulate protein structures with Deep View software.
HIDDEN MARKOV MODELS IN MULTIPLE ALIGNMENT
Thomas Blicher Center for Biological Sequence Analysis
FLEX* - REVIEW.
Summary Protein design seeks to find amino acid sequences which stably fold into specific 3-D structures. Modeling the inherent flexibility of the protein.
The Protein Data Bank (PDB)
. Protein Structure Prediction [Based on Structural Bioinformatics, section VII]
1 Protein Structure Prediction Reporter: Chia-Chang Wang Date: April 1, 2005.
Protein Tertiary Structure. Primary: amino acid linear sequence. Secondary:  -helices, β-sheets and loops. Tertiary: the 3D shape of the fully folded.
Applications of Homology Modeling Hanka Venselaar.
Protein structure prediction May 30, 2002 Quiz#4 on June 4 Learning objectives-Understand difference between primary secondary and tertiary structure.
CENTER FOR BIOLOGICAL SEQUENCE ANALYSISTECHNICAL UNIVERSITY OF DENMARK DTU Homology Modelling Thomas Blicher Center for Biological Sequence Analysis.
Homology Modeling Seminar produced by Hanka Venselaar.
Protein Structures.
Bioinformatics Ayesha M. Khan Spring 2013.
Homology Modeling David Shiuan Department of Life Science and Institute of Biotechnology National Dong Hwa University.
Protein Tertiary Structure Prediction
Construyendo modelos 3D de proteinas ‘fold recognition / threading’
Practical session 2b Introduction to 3D Modelling and threading 9:30am-10:00am 3D modeling and threading 10:00am-10:30am Analysis of mutations in MYH6.
COMPARATIVE or HOMOLOGY MODELING
A new Approach to Structural Prediction of Proteins Heiko Schröder Bertil Schmidt Jiujiang Zhu School of Computer Engineering Nanyang Technological University.
Representations of Molecular Structure: Bonds Only.
Bioinformatics 2 -- Lecture 8 More TOPS diagrams Comparative modeling tutorial and strategies.
1 P9 Extra Discussion Slides. Sequence-Structure-Function Relationships Proteins of similar sequences fold into similar structures and perform similar.
Neural Networks for Protein Structure Prediction Brown, JMB 1999 CS 466 Saurabh Sinha.
Flexible Multi-scale Fitting of Atomic Structures into Low- resolution Electron Density Maps with Elastic Network Normal Mode Analysis Tama, Miyashita,
Protein Folding Programs By Asım OKUR CSE 549 November 14, 2002.
Construction of Substitution Matrices
HMMs for alignments & Sequence pattern discovery I519 Introduction to Bioinformatics.
Module 3 Protein Structure Database/Structure Analysis Learning objectives Understand how information is stored in PDB Learn how to read a PDB flat file.
PROTEIN PHYSICS LECTURES 22-23
Predicting Protein Structure: Comparative Modeling (homology modeling)
Protein Structure Prediction: Homology Modeling & Threading/Fold Recognition D. Mohanty NII, New Delhi.
Introduction to Protein Structure Prediction BMI/CS 576 Colin Dewey Fall 2008.
Programme Last week’s quiz results + Summary Fold recognition Break Exercise: Modelling remote homologues Summary.
Protein Folding & Biospectroscopy Lecture 6 F14PFB David Robinson.
Sequence Based Analysis Tutorial March 26, 2004 NIH Proteomics Workshop Lai-Su L. Yeh, Ph.D. Protein Science Team Lead Protein Information Resource at.
MINRMS: an efficient algorithm for determining protein structure similarity using root-mean-squared-distance Andrew I. Jewett, Conrad C. Huang and Thomas.
Structural alignment methods Like in sequence alignment, try to find best correspondence: –Look at atoms –A 3-dimensional problem –No a priori knowledge.
Structural classification of Proteins SCOP Classification: consists of a database Family Evolutionarily related with a significant sequence identity Superfamily.
Protein Structure Prediction: Threading and Rosetta BMI/CS 576 Colin Dewey Fall 2008.
Molecular mechanics Classical physics, treats atoms as spheres Calculations are rapid, even for large molecules Useful for studying conformations Cannot.
DNA / protein sequence analysis 第九組成員: 吳宇軒 侯卜夫 朱子豪 王俊偉
Four Levels of Protein Structure
PROTEIN MODELLING Presented by Sadhana S.
Protein Structure Prediction Dr. G.P.S. Raghava Protein Sequence + Structure.
Protein Structure Prediction and Protein Homology modeling
PROTEIN PHYSICS LECTURES 22-23
Sequence Based Analysis Tutorial
Protein Structures.
Prediction of protein structure
Protein Structure Chapter 14.
Molecular Modeling By Rashmi Shrivastava Lecturer
Homology Modeling.
Protein structure prediction.
Homology modeling in short…
Four Levels of Protein Structure
Presentation transcript:

Tertiary protein structure modelling May 31, 2005 Graded papers will handed back Thursday Quiz#4 today Learning objectives- Continue to learn how to manipulate protein structures in Deep View. Learn the steps to protein structure modeling with Deep View. Workshop-Manipulation of the hen lysozyme, hemoglobin and modeling of Fas antigen ligand protein structure with Deep View.

Steps to tertiary structure prediction Comparative protein modeling Extrapolates new structure based on related family members Steps 1. Identification of modeling templates 2. Alignment 3. Model building

Identification of modeling templates One chooses a cutoff value from FastA or BLAST search (10 -5 ) Up to ten templates can be used but the one with the highest sequence similarity to the target sequence (lowest E-value) is the reference template C  atoms of the templates are selected for superimposition. This generates a structurally corrected multiple sequence alignment

Alignment “Common core” and conserved loops of target sequence are threaded onto the template structure using only alpha carbons

Framework construction

Building the model Framework construction Average the position of each atom in target, based on the corresponding atoms in template. Portions of the target sequence that do not match the template are constructed from a “spare part” algorithm. Each loop is defined by its length and C  atom coordinates of the four amino acids preceding and following the loop.

Building the model Completing the backbone-a library of PDB entries is consulted to add carbonyl groups and amino groups. The 3-D coordinates come from a separate library of pentapeptide backbone fragments. These backbone fragments are fitted onto the target C alpha carbons. The central tri- peptide is averaged from each backbone atom (N,C,C(O)). Side chains are added from a table of most probable rotamers that depend on backbone conformation. Model refinement-minimization of energy

Protein Modeling Workshop Continue to work through the first 11 chapters of the tutorial you began in the previous class. ( ) Perform the protein modeling exercise described at: