Flexible Multi-scale Fitting of Atomic Structures into Low- resolution Electron Density Maps with Elastic Network Normal Mode Analysis Tama, Miyashita,

Slides:



Advertisements
Similar presentations
How to approximate complex physical and thermodynamic interactions? Employ rigid or flexible structures for ligand and receptor (Side-chains or Back-bone.
Advertisements

Background Goals Methods Results Conclusions Implications.
Protein Threading Zhanggroup Overview Background protein structure protein folding and designability Protein threading Current limitations.
Molecular dynamics refinement and rescoring in WISDOM virtual screenings Gianluca Degliesposti University of Modena and Reggio Emilia Molecular Modelling.
Computing Protein Structures from Electron Density Maps: The Missing Loop Problem I. Lotan, H. van den Bedem, A. Beacon and J.C. Latombe.
A COMPLEX NETWORK APPROACH TO FOLLOWING THE PATH OF ENERGY IN PROTEIN CONFORMATIONAL CHANGES Del Jackson CS 790G Complex Networks
Two Examples of Docking Algorithms With thanks to Maria Teresa Gil Lucientes.
Dynamics EventTime Bond stretch ~1 to 20 fs Elastic domain modes 100 fs to several ps Water reorientation 4 ps Inter-domain bending 10 ps to 100 ns Globular.
“Inverse Kinematics” The Loop Closure Problem in Biology Barak Raveh Dan Halperin Course in Structural Bioinformatics Spring 2006.
Protein Primer. Outline n Protein representations n Structure of Proteins Structure of Proteins –Primary: amino acid sequence –Secondary:  -helices &
FLEX* - REVIEW.
Tertiary protein structure modelling May 31, 2005 Graded papers will handed back Thursday Quiz#4 today Learning objectives- Continue to learn how to manipulate.
An Integrated Approach to Protein-Protein Docking
Molecular Docking Using GOLD Tommi Suvitaival Seppo Virtanen S Basics for Biosystems of the Cell Fall 2006.
Review of “Stability of Macromolecular Complexes” Dan Kulp Brooijmans, Sharp, Kuntz.
Protein Structure and Drug Discovery Workshop To be held at Monash University, Mebourne, Australia October 3 rd to 4 th 2006 Molecular Visualization Learn.
Inverse Kinematics for Molecular World Sadia Malik April 18, 2002 CS 395T U.T. Austin.
Comparative Evaluation of 11 Scoring Functions for Molekular Docking Authors: Renxiao Wang, Yipin Lu and Shaomeng Wang Presented by Florian Lenz.
Module 2: Structure Based Ph4 Design
Structural Bioinformatics R. Sowdhamini National Centre for Biological Sciences Tata Institute of Fundamental Research Bangalore, INDIA.
A genetic algorithm for structure based de-novo design Scott C.-H. Pegg, Jose J. Haresco & Irwin D. Kuntz February 21, 2006.
Marcin Pacholczyk, Silesian University of Technology.
 Four levels of protein structure  Linear  Sub-Structure  3D Structure  Complex Structure.
RNA Secondary Structure Prediction Spring Objectives  Can we predict the structure of an RNA?  Can we predict the structure of a protein?
EBI is an Outstation of the European Molecular Biology Laboratory. A web service for the analysis of macromolecular interactions and complexes PDBe Protein.
Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water.
EMBL-EBI MSDpisa a web service for studying Protein Interfaces, Surfaces and Assemblies Eugene Krissinel
EBI is an Outstation of the European Molecular Biology Laboratory. A web service for the analysis of macromolecular interactions and complexes PDBe Protein.
Conformational Entropy Entropy is an essential component in ΔG and must be considered in order to model many chemical processes, including protein folding,
ABSTRACT We need to study protein flexibility for a better understanding of its function. Flexibility determines how a conformation changes when the protein.
Patentability Considerations in the 3-D Structure Arts Patentability Considerations in the 3-D Structure Arts Michael P. Woodward Supervisory Patent Examiner.
Altman et al. JACS 2008, Presented By Swati Jain.
Virtual Screening C371 Fall INTRODUCTION Virtual screening – Computational or in silico analog of biological screening –Score, rank, and/or filter.
Protein Design with Backbone Optimization Brian Kuhlman University of North Carolina at Chapel Hill.
Protein Folding & Biospectroscopy Lecture 6 F14PFB David Robinson.
Structural classification of Proteins SCOP Classification: consists of a database Family Evolutionarily related with a significant sequence identity Superfamily.
Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine Ajay N. Jain UCSF Cancer Research Institute and Comprehensive.
How NMR is Used for the Study of Biomacromolecules Analytical biochemistry Comparative analysis Interactions between biomolecules Structure determination.
Elon Yariv Graduate student in Prof. Nir Ben-Tal’s lab Department of Biochemistry and Molecular Biology, Tel Aviv University.
A new protein-protein docking scoring function based on interface residue properties Reporter: Yu Lun Kuo (D )
Rong Chen Boston University
Dihedral angle preferences of DNA and RNA binding
Reduce the need for human intervention in protein model building
Molecular Docking Profacgen. The interactions between proteins and other molecules play important roles in various biological processes, including gene.
Virtual Screening.
Ligand Docking to MHC Class I Molecules
Volume 3, Issue 3, Pages (March 1999)
An Integrated Approach to Protein-Protein Docking
Alexey Sulimov, Ekaterina Katkova, Vladimir Sulimov,
Volume 86, Issue 6, Pages (June 2004)
Giovanni Settanni, Antonino Cattaneo, Paolo Carloni 
Volume 39, Issue 6, Pages (September 2010)
AnchorDock: Blind and Flexible Anchor-Driven Peptide Docking
Homology Modeling.
Volume 103, Issue 12, Pages (December 2012)
Volume 25, Issue 5, Pages e3 (May 2017)
Volume 17, Issue 11, Pages (November 2009)
Solution and Crystal Structures of a Sugar Binding Site Mutant of Cyanovirin-N: No Evidence of Domain Swapping  Elena Matei, William Furey, Angela M.
Accounting for side-chain flexibility in protein-ligand docking: 3D Interaction Homology as an approach of quantifying side-chain flexibility of Tyrosine.
The Structural Basis of Peptide-Protein Binding Strategies
Predicting Allosteric Changes from Conformational Ensembles
Volume 22, Issue 4, Pages (April 2014)
Volume 86, Issue 6, Pages (June 2004)
LC8 is structurally variable but conserved in sequence.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Monte carlo simulations on mixed resolution protein models
Julia Salas Case Study, CS379a
Presentation transcript:

Flexible Multi-scale Fitting of Atomic Structures into Low- resolution Electron Density Maps with Elastic Network Normal Mode Analysis Tama, Miyashita, Brooks Used NMA to fit high resolution xtal structures to low resolution EM maps. Mostly concerned with conformational change. Also employed flexible fitting method with Calpha only claiming this allowed larger systems to be computationally tractable. Show that this method works better than Situs package on the targets they tested.

ProMate: A Structure Based Prediction Program to Identify the Localization of Protein-Protein Binding Sites Neuvirth, Raz, Schreiber Binding surfaces share common properties that distinguish them from non-binding surfaces Interesting review of binding surface properties, as compiled through many investigations I think they draw some questionable conclusions. The algorithm correctly predicts the binding site in about 50% of cases, random would be 13%. Clear preference for binding interface to exist in region of loops. Mean loop length 11.17

Testing a Flexible-receptor Docking Algorithm in a Model Binding Site Wei, Weaver, Ferrari, Matthews, Shoichet Flexible receptor obtained by ensemble of xtal structures Linear scaling opposed to exponential scaling Recommend reading, wont say much more.

Can Contact Potentials Reliably Predict Stability of Proteins? Khatun, Khare, Dokholyan Contact potential describes the relative free energy of a given protein conformation by evaluating the interaction among residues Evaluate a set of mutants and try to predict the ΔΔG for a single amino acid mutation - contact potentials parameterized from experimental data (experimental error ~ kt) They show that contact potentials are neither accurate nor transferable and claim that it is impossible to develop a set of transferable contact parameters to assess changes in stability of multiple proteins.

Protein Flexibility in Ligand Docking and Virtual Screening to Protein Kinases Cavasotto, Abagyan ICM-flexible receptor docking algorithm (IFREDA) -generates a discrete set of receptor conformations Claims: -both side chain rearrangements and backbone movements, including loop movements are taken into account -this method helps when no holo structure available, they dock ligand into pocket, rotate and translate, reoptimize pocket, use this ensemble for docking