'Protein design' diaporamas de présentation

Computational Protein Design: A problem in combinatorial optimization

Computational Protein Design: A problem in combinatorial optimization. CSE 549 Guest Lecture September 17, 2009 David Green Applied Mathematics & Statistics. What is a protein?. Polymers (chains) of amino acids. There are 20 different amino acids that can be part of the chain.

769 views • 65 slides

Computational Protein Design: A problem in combinatorial optimization

Computational Protein Design: A problem in combinatorial optimization. CSE 549 Guest Lecture September 17, 2009 David Green Applied Mathematics & Statistics. What is a protein?. Polymers (chains) of amino acids. There are 20 different amino acids that can be part of the chain.

724 views • 65 slides

Introduction to AI Lecture 3: Uninformed Search

1.36k views • 64 slides

Bioinformatics Research Centre University of Glasgow

Bioinformatics Research Centre University of Glasgow. David Gilbert www.brc.dcs.gla.ac.uk Department of Computing Science , University of Glasgow. Bio informatics. Bio informatics. Bioinformatics. Bioinformatics. Bio - Molecular Biology. Informatics - Computer Science.

825 views • 64 slides

Computational Design of Protein Structures and Interfaces

Computational Design of Protein Structures and Interfaces. Brian Kuhlman University of North Carolina, Chapel Hill. Outline: Three Protein Design Stories. Using Flexible Backbone Design for the Complete Redesign of a Protein Core

674 views • 53 slides

Rotamer Optimization for Protein Design through MAP estimation and problem-Size Reduction

Rotamer Optimization for Protein Design through MAP estimation and problem-Size Reduction. Hong, Lippow, Tidor, Lozano-Perez. JCC. 2008. Presented by Kyle Roberts. Problem Statement. Protein structure prediction Homology modeling Side-chain placement Protein design problems

548 views • 44 slides

Rotamer Optimization for Protein Design through MAP estimation and problem-Size Reduction

Rotamer Optimization for Protein Design through MAP estimation and problem-Size Reduction. Hong, Lippow, Tidor, Lozano-Perez. JCC. 2008. Presented by Kyle Roberts. Problem Statement. Protein structure prediction Homology modeling Side-chain placement Protein design problems

588 views • 44 slides

Rotamer Optimization for Protein Design through MAP estimation and problem-Size Reduction

Rotamer Optimization for Protein Design through MAP estimation and problem-Size Reduction. Hong, Lippow, Tidor, Lozano-Perez. JCC. 2008. Presented by Kyle Roberts. Problem Statement. Protein structure prediction Homology modeling Side-chain placement Protein design problems

447 views • 44 slides

CS273 Algorithms for Structure and Motion in Biology

479 views • 37 slides

Introduction to Systems Biology Mathematical modeling of biological systems

1.7k views • 33 slides

Bioinformatics 2 -- lecture 20

Bioinformatics 2 -- lecture 20. Protein design -- the state of the art. Protein folding/ protein design. folding. sequence. structure. design. Sequence space maps to structure space. sequence families. fold. ..as many-to-one. Short history of protein design.

357 views • 33 slides

de novo Protein Design

de novo Protein Design. Presented by Alison Fraser, Christine Lee, Pradhuman Jhala, Corban Rivera. Outline. Introduction Computational methods used for sequence and structure Biophysical and structural characteristics of novel protein Conclusion. Introduction. Number of protein folds

752 views • 15 slides

Dr. Robert Kokoska University Affiliated Research Center (UARC) Program Manager Army Research Office robert.kokoska@us.a

U.S. Army War College Strategic Implications for Emerging Technologies XX Annual Strategy Conference 15 April 2009 Panel I: Biotechnologies: Genetic Engineering & Molecular Biology Institute for Collaborative Biotechnologies. Dr. Robert Kokoska

720 views • 13 slides

Example for Teachable Unit/Tidbit for Biol 101

Example for Teachable Unit/Tidbit for Biol 101. OVERALL GOAL: Students will understand the four forces of biochemistry (ionic bonds, H bonds, hydrophobic effect, van der Waals interaction) OBJECTIVE:

207 views • 10 slides

Protein Engineering Market worth $1,463.0 Million by 2020

The protein engineering market is estimated to grow at a CAGR of 15.7% to reach $1,463.0 million by 2020. In this report, the global protein engineering market is broadly segmented by product, technology, end user, and region. By product, the market is categorized into instruments, reagents, and services and software. On the basis of technology, the market is categorized into rational protein design, and irrational protein design. Rational protein design emerged as highly adopted technology in protein engineering market in 2014. This large share can be attributed to its advantages over irrational protein design technology.

110 views • 2 slides