A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information-Reference-Cited by-同舟云学术

A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information

Published:2005-01-26 Issue:2 Volume:45 Page:494-501
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Gromiha M. Michael¹

Affiliation:

1. Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Aomi Frontier Building 17F, 2-43 Aomi, Koto-ku, Tokyo 135-0064, Japan

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci049757q

Reference77 articles.

1. Fast Kinetics and Mechanisms in Protein Folding

2. Contact order, transition state placement and the refolding rates of single domain proteins 1 1Edited by P. E. Wright

3. Comparison between long-range interactions and contact order in determining the folding rate of two-state proteins: application of long-range order to folding rate prediction11Edited by P. E. Wright

4. Folding Rate Prediction Using Total Contact Distance

5. The topomer search model: A simple, quantitative theory of two-state protein folding kinetics

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