Efficient Traversal of Beta-Sheet Protein Folding Pathways Using Ensemble Models-Reference-Cited by-同舟云学术

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Efficient Traversal of Beta-Sheet Protein Folding Pathways Using Ensemble Models

Published:2011-11 Issue:11 Volume:18 Page:1635-1647
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Shenker Solomon¹,O'Donnell Charles W.²,Devadas Srinivas²,Berger Bonnie²³,Waldispühl Jérôme¹²

Affiliation:

1. School of Computer Science and McGill Centre for Bioinformatics, McGill University, Montreal, Canada.

2. Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts.

3. Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2011.0176

Reference27 articles.

1. Using Motion Planning to Study Protein Folding Pathways

2. Grammatical Representations of Macromolecular Structure

3. A Bayesian statistical algorithm for RNA secondary structure prediction

4. A statistical sampling algorithm for RNA secondary structure prediction

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancement of Protein β-Sheet Topology Prediction Using Maximum Weight Disjoint Path Cover;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2019-11-01

2. Fast and flexible coarse-grained prediction of protein folding routes using ensemble modeling and evolutionary sequence variation;Bioinformatics;2019-10-04

3. Exploring the Folding Mechanism of Small Proteins GB1 and LB1;Journal of Chemical Theory and Computation;2019-05-09

4. BetaDL: A protein beta-sheet predictor utilizing a deep learning model and independent set solution;Computers in Biology and Medicine;2019-01

5. Evolution of a protein folding nucleus;Protein Science;2015-12-10

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