Integrating Bonded and Nonbonded Potentials in the Knowledge-Based Scoring Function for Protein Structure Prediction-Reference-Cited by-同舟云学术

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Integrating Bonded and Nonbonded Potentials in the Knowledge-Based Scoring Function for Protein Structure Prediction

Published:2019-05-02 Issue:6 Volume:59 Page:3080-3090
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Wang Xinxiang¹,Huang Sheng-You¹^ORCID

Affiliation:

1. Institute of Biophysics, School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China

Funder

Ministry of Science and Technology of the People's Republic of China

Huazhong University of Science and Technology

National Natural Science Foundation of China

Chinese Communist Party Central Committee

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/acs.jcim.9b00057

Reference69 articles.

1. Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and bayesian scoring functions

2. TASSER: An automated method for the prediction of protein tertiary structures in CASP6

3. Ab initio construction of protein tertiary structures using a hierarchical approach

4. Generalized ensemble methods for de novo structure prediction

5. The Protein Data Bank

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