'Structure prediction' presentation slideshows

Secondary Structure Prediction Using Decision Lists

Secondary Structure Prediction Using Decision Lists. Deniz YURET Volkan KURT. Outline. What is the problem? What are the different approaches? How do we use decision lists and why? Why does evolution help?. What is the problem?. The generic prediction algorithm

1.18k views • 104 slides

Effective Statistical Energy Function Based Protein Un/Structure Prediction

Effective Statistical Energy Function Based Protein Un/Structure Prediction. Doctoral Dissertation Defense Date: 06/05/2019. Avdesh Mishra Computer Science Department, University of New Orleans Supervisor: Dr. Md Tamjidul Hoque. Research Summary.

1.02k views • 92 slides

Content Protein fold and structure Homology modeling Protein-protein docking

BL5203: Molecular Recognition & Interaction Lecture 6: Modeling Protein Structure and Protein-Protein Interaction Y.Z. Chen Department of Pharmacy National University of Singapore Tel: 65-6616-6877; Email: phacyz@nus.edu.sg ; Web: http://bidd.nus.edu.sg. Content Protein fold and structure

945 views • 67 slides

Machine Learning in the Study of Protein Structure

Machine Learning in the Study of Protein Structure. Rui Kuang Columbia University Candidacy Exam Talk May 5th, 2004 Committee: Christina S. Leslie (advisor), Yoav Freund, Tony Jebara. Table of contents. Introduction to protein structure and its prediction HMM, SVM and string kernels

743 views • 63 slides

Homology modeling

Homology modeling. Dinesh Gupta ICGEB, New Delhi. Protein structure prediction. Methods: Homology (comparative) modelling Threading Ab-initio. Protein Homology modeling.

870 views • 43 slides

Protein Structure Prediction Matthew Betts Russell Group, University of Heidelberg, Germany

Protein Structure Prediction Matthew Betts Russell Group, University of Heidelberg, Germany www.russelllab.org. Active/inactive? Binds/does not bind? Substrate specificity?. Function. Structure. Sequence. What is this about?. What we do to find out what a protein might be doing

606 views • 39 slides

Protein Secondary Structures

Assignment and prediction. Protein Secondary Structures. Pernille Haste Andersen 17.05.2006. Outline. What is protein secondary structure How can it be used? Different prediction methods Alignment to homologues Propensity methods Neural networks Evaluation of prediction methods

544 views • 38 slides

Neural Networks for Protein Structure Prediction Brown, JMB 1999

550 views • 35 slides

Protein Structure Prediction

Protein Structure Prediction. Why ? Type of protein structure predictions Sec Str. Pred Homology Modelling Fold Recognition Ab Initio Secondary structure prediction Why History Performance Usefullness. Why do we need structure prediction?. 3D structure give clues to function:

1.29k views • 32 slides

Protein Structure Prediction

Protein Structure Prediction. Historical Perspective. Protein Folding: From the Levinthal Paradox to Structure Prediction, Barry Honig, 1999 A personal perspective on advances and developments in protein folding over the last 40 years. Levinthal Paradox.

437 views • 30 slides

Protein structure prediction.

Protein structure prediction. Protein folds. Fold definition: two folds are similar if they have a similar arrangement of SSEs (architecture) and connectivity (topology). Sometimes a few SSEs may be missing.

613 views • 27 slides

Introduction and Importance of Bioinformatics: Application in Drug/Vaccine Design G. P. S. Raghava

Introduction and Importance of Bioinformatics: Application in Drug/Vaccine Design G. P. S. Raghava Email: raghava@imtech.res.in Web: http://www.imtech.res.in/raghava/.

480 views • 24 slides

Alpha/Beta structures

Alpha/Beta structures. Barrels, sheets and horseshoes. Common features . Parallel b strands are arranged in barrels or sheets Individual b strands are connected by a helices b-a-b motif is a building unit. TIM barrel. First observed in enzyme T riosephosphate I so m erase.

693 views • 23 slides

Tools to analyze protein characteristics

3-D fold model. Identification of conserved regions. Evolutionary relationship (Phylogeny). -Family member -Multiple alignments. Protein sequence. Protein sorting and sub-cellular localization. Anchoring into the membrane. Signal sequence (tags).

401 views • 18 slides

Structural Bioinformatics

Structural Bioinformatics. R. Sowdhamini National Centre for Biological Sciences Tata Institute of Fundamental Research Bangalore, INDIA. Prediction with inputs from Structural Bioinformatics. Genome-wide analysis of protein families. Evolutionary relationships amongst proteins.

427 views • 17 slides

RNA Secondary Structure Prediction

324 views • 16 slides

Structural Bioinformatics

Structural Bioinformatics. R. Sowdhamini National Centre for Biological Sciences Tata Institute of Fundamental Research Bangalore, INDIA. 1. Prediction of Secondary Structure and Tertiary Interactions in Proteins. How to predict ? -sheets?. Problems in prediction: Sequentially distant

269 views • 15 slides

A continuous probabilistic model of local RNA 3-D structure

A continuous probabilistic model of local RNA 3-D structure. Jes Frellsen The Bioinformatics Centre Department of Molecular Biology University of Copenhagen. Background. 3D structure is important for understanding the function of non-coding RNA molecules

122 views • 12 slides

A continuous probabilistic model of local RNA 3-D structure

A continuous probabilistic model of local RNA 3-D structure. Jes Frellsen The Bioinformatics Centre Department of Molecular Biology University of Copenhagen. Background. 3D structure is important for understanding the function of non-coding RNA molecules

230 views • 12 slides

Experimental Annotations in ROC

Experimental Annotations in ROC. Russ Altman, Alain Laederach Based on our experiences with RiboWeb and our participation in a Program Project Grant. Chalk Talk. Structural Information. PDB Evidence for Structural Motifs Base Pairs, Long range interactions etc. Experiments

140 views • 5 slides