Applications of Homology Modeling Hanka Venselaar.

Slides:



Advertisements
Similar presentations
Applications of Homology Modeling
Advertisements

Protein Threading Zhanggroup Overview Background protein structure protein folding and designability Protein threading Current limitations.
Applications of Homology Modeling Hanka Venselaar.
Structural bioinformatics
The CMBI: Bioinformatics Content  Bioinformatics   Bioinformatics tools & databases Hanka Venselaar CMBI UMC Radboud February 2009.
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.
CISC667, F05, Lec21, Liao1 CISC 467/667 Intro to Bioinformatics (Fall 2005) Protein Structure Prediction 3-Dimensional Structure.
Tertiary protein structure viewing and prediction July 5, 2006 Learning objectives- Learn how to manipulate protein structures with Deep View software.
The 7 steps of Homology modeling. 1: Template recognition and initial alignment.
Homology modelling ? X-ray ? NMR ?. Homology Modelling !
Thomas Blicher Center for Biological Sequence Analysis
Summary Protein design seeks to find amino acid sequences which stably fold into specific 3-D structures. Modeling the inherent flexibility of the protein.
©CMBI 2002 Homology modelling ? X-ray ? NMR ? Intro Proteins Modelling 8 Steps Detect Threading Alignment Template Side chain Indels Optimize Validate.
. Protein Structure Prediction [Based on Structural Bioinformatics, section VII]
Tertiary protein structure modelling May 31, 2005 Graded papers will handed back Thursday Quiz#4 today Learning objectives- Continue to learn how to manipulate.
Molecular modelling / structure prediction (A computational approach to protein structure) Today: Why bother about proteins/prediction Concepts of molecular.
CENTER FOR BIOLOGICAL SEQUENCE ANALYSISTECHNICAL UNIVERSITY OF DENMARK DTU Homology Modelling Thomas Blicher Center for Biological Sequence Analysis.
Homology modelling ? X-ray ? NMR ?. Homology Modelling !
Applications of Homology Modeling Hanka Venselaar.
Homology Modeling Seminar produced by Hanka Venselaar.
Protein Structures.
Protein Sequence Analysis - Overview Raja Mazumder Senior Protein Scientist, PIR Assistant Professor, Department of Biochemistry and Molecular Biology.
Bioinformatics Ayesha M. Khan Spring 2013.
Homology Modeling David Shiuan Department of Life Science and Institute of Biotechnology National Dong Hwa University.
Construyendo modelos 3D de proteinas ‘fold recognition / threading’
Computer-Assisted Drug Design (1) i)Random Screening ii)Lead Development and Optimization using Multivariate Statistical Analyses. iii)Lead Generation.
Tertiary Structure Prediction Methods Any given protein sequence Structure selection Compare sequence with proteins have solved structure Homology Modeling.
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
CRB Journal Club February 13, 2006 Jenny Gu. Selected for a Reason Residues selected by evolution for a reason, but conservation is not distinguished.
Lecture 10 – protein structure prediction. A protein sequence.
Modelling binding site with 3DLigandSite Mark Wass
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.
Pairwise Sequence Alignment. The most important class of bioinformatics tools – pairwise alignment of DNA and protein seqs. alignment 1alignment 2 Seq.
Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water.
Protein Folding Programs By Asım OKUR CSE 549 November 14, 2002.
Function first: a powerful approach to post-genomic drug discovery Stephen F. Betz, Susan M. Baxter and Jacquelyn S. Fetrow GeneFormatics Presented by.
Secondary structure prediction
MolIDE2: Homology Modeling Of Protein Oligomers And Complexes Qiang Wang, Qifang Xu, Guoli Wang, and Roland L. Dunbrack, Jr. Fox Chase Cancer Center Philadelphia,
Applied Bioinformatics Week 12. Bioinformatics & Functional Proteomics How to classify proteins into functional classes? How to compare one proteome with.
Module 3 Protein Structure Database/Structure Analysis Learning objectives Understand how information is stored in PDB Learn how to read a PDB flat file.
Structure prediction: Homology modeling
Protein Sequence Analysis - Overview - NIH Proteomics Workshop 2007 Raja Mazumder Scientific Coordinator, PIR Research Assistant Professor, Department.
Predicting Protein Structure: Comparative Modeling (homology modeling)
Protein Structure Prediction: Homology Modeling & Threading/Fold Recognition D. Mohanty NII, New Delhi.
Homology modeling with SWISS-MODEL
Programme Last week’s quiz results + Summary Fold recognition Break Exercise: Modelling remote homologues Summary.
Alignment & Secondary Structure You have learned about: Data & databases Tools Amino Acids Protein Structure Today we will discuss: Aligning sequences.
Protein Folding & Biospectroscopy Lecture 6 F14PFB David Robinson.
Comparative methods Basic logics: The 3D structure of the protein is deduced from: 1.Similarities between the protein and other proteins 2.Statistical.
Applications of Homology Modeling Hanka Venselaar.
Structural classification of Proteins SCOP Classification: consists of a database Family Evolutionarily related with a significant sequence identity Superfamily.
CS-ROSETTA Yang Shen et al. Presented by Jonathan Jou.
Lab Lab 10.2: Homology Modeling Lab Boris Steipe Departments of Biochemistry and.
Molecular modelling José R. Valverde CNB/CSIC © José R. Valverde, 2014 CC-BY-NC-SA.
PROTEIN MODELLING Presented by Sadhana S.
Protein Structure Visualisation
Protein Structure Prediction and Protein Homology modeling
Bioinformatics how to …
Protein Structures.
Molecular Modeling By Rashmi Shrivastava Lecturer
Homology Modeling.
Protein structure prediction.
Programme Last week’s quiz results + Summary
Homology modeling in short…
NMR ? X-ray ? Homology modelling ? Intro Proteins Modelling 8 Steps
Presentation transcript:

Applications of Homology Modeling Hanka Venselaar

This seminar…. Homology Modeling… Why? What? When? How? And a few real world examples….

Hearing loss No structure: MGTPWRKRKGIAGPGLPDLSCALVLQPRAQVGTMSPAI ALAFLPLVVTLLVRYRHYFRLLVRTVLLRSLRDCLSGLRI EERAFSYVLTHALPGDPGHILTTLDHWSSRCEYLSHMG PVKGQILMRLVEEKAPACVLELGTYCGYSTLLIARALPP GGRLLTVERDPRTAAVAEKLIRLAGFDEHMVELIVGSSE DVIPCLRTQYQLSRADLVLLAHRPRCYLRDLQLLEAHAL LPAGATVLADHVLFPGAPRFLQYAKSCGRYRCRLHHTG LPDFPAIKDGIAQLTYAGPG DFNB 63 Sequence:

Homology modeling in short… Prediction of structure based upon a highly similar structure 2 basic assumptions: Structure defines function During evolution structures are more conserved than sequence Use one structure to predict another

Homology modeling Example: by 80 residues  30% identity is (just) sufficient # residues % identity * * Actually, modelling is possible here, but we cannot get an alignment… O Yes we can O

Homology modeling in short… Prediction of structure based upon a highly similar structure Add sidechains, Molecular Dynamics simulation on model Unknown structure NSDSECPLSHDG || || | || NSYPGCPSSYDG Alignment of model and template sequence Known structure Back bone copied Copy backbone and conserved residues Model!

The 8 steps of Homology modeling

1: Template recognition and initial alignment

BLAST your sequence against PDB Best hit  normally template Initial alignment  NSDSECPLSHDGYCLHDGVC || || | ||||| ||| NSYPGCPSSYDGYCLNGGVC

1: Template recognition and initial alignment 2: Alignment correction

Functional residues  conserved Use multiple sequence alignments Deletions  shift gaps CPISRTGASIFRCW CPISRTA---FRCW CPISRT---AFRCW CPISRTAAS-FRCW CPISRTG-SMFRCW CPISRTA--TFRCW CPISRTAASHFRCW CPISRTGASIFRCW CPISRTA---FRCW Both are possible Multipe sequence alignment Correct alignment  Sequence with known structure  Your sequence

2: Alignment correction Core residues  conserved Use multiple sequence alignments Deletions in your sequence  shift gaps Known structure FDICRLPGSAEAV Model FNVCRMP---EAI Model FNVCR---MPEAI S G P L A E R C IV C R M P E V C R M P E  Correct alignment F-D- -A-V

1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation

Making the model…. Copy backbone of template to model Make deletions as discussed (Keep conserved residues)

1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling

Known structure GVCMYIEA---LDKYACNC Your sequence GECFMVKDLSNPSRYLCKC Loop library, try different options

1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling 5: Sidechain modeling

5: Side-chain modeling Several options Libraries of preferred rotamers based upon backbone conformation

1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling 5: Sidechain modeling 6: Model optimization

Molecular dynamics simulation Remove big errors Structure moves to lowest energy conformation

1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling 5: Sidechain modeling 6: Model optimization 7: Model validation

7: Model Validation Second opinion by PDBreport /WHAT IF Errors in active site?  new alignment/ template No errors?  Model!

1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling 5: Sidechain modeling 6: Model optimization 7: Model validation 8: Iteration

Model! 1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling 5: Sidechain modeling 6: Model optimization 7: Model validation 8: Iteration

8 steps of homology modeling 1: Template recognition and initial alignment 2: Alignment correction 3: Backbone generation 4: Loop modeling 5: Side-chain modeling 6: Model optimization 7: Model validation 8: Iteration Alignment Modeling Correction

Homology Modeling… What? Prediction of an unknown structure based on an homologous and known structure Why? To answer biological and medical questions when the “real” structure is unknown When? A template with enough identity must be available How? 8 Steps To conclude….

Think about the ligand (keep/put it in template) Optimize with the right type of ligand either the real drug, or a generic average agonist / antagonist. Think of details in the active site (ions, waters, pH, etc) Think where the molecule sits in the cell, in the human, in life… And for drug design:

And now…. After the next seminar go to the course website: Thanks to Hanka Venselaar for making nearly all slides in this seminar.