Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm-Reference-Cited by-同舟云学术

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Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm

Published:2018-08-08 Issue:1 Volume:11 Page:
ISSN:1756-0381
Container-title:BioData Mining
language:en
Short-container-title:BioData Mining

Author:

Yang Cheng-Hong,Wu Kuo-Chuan,Lin Yu-Shiun,Chuang Li-Yeh,Chang Hsueh-Wei^ORCID

Funder

Ministry of Science and Technology, Taiwan

National Sun Yat-sen University-KMU Joint Research Project

Health and welfare surcharge of tobacco products, the Ministry of Health and Welfare, Taiwan, Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Genetics,Molecular Biology,Biochemistry

Link

http://link.springer.com/content/pdf/10.1186/s13040-018-0176-6.pdf

Reference40 articles.

1. Wang HW, Chu CH, Wang WC, Pai TW. A local average distance descriptor for flexible protein structure comparison. BMC Bioinformatics. 2014;15:95.

2. Bahar I, Atilgan AR, Jernigan RL, Erman B. Understanding the recognition of protein structural classes by amino acid composition. Proteins Struct Funct Genet. 1997;29(2):172–85.

3. Dill KA. Theory for the folding and stability of globular proteins. Biochemistry. 1985;24(6):1501–9.

4. Bechini A. On the characterization and software implementation of general protein lattice models. PLoS One. 2013;8(3):e59504.

5. Berger B, Leighton T. Protein folding in the hydrophobic-hydrophilic (HP) model is NP-complete. J Comput Biol. 1998;5(1):27–40.

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