Disulfide connectivity prediction based on structural information without a prior knowledge of the bonding state of cysteines-Reference-Cited by-同舟云学术

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Disulfide connectivity prediction based on structural information without a prior knowledge of the bonding state of cysteines

Published:2013-11 Issue:11 Volume:43 Page:1941-1948
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Lin Hsuan-Hung,Hsu Jiin-Chyr,Hsu Yuan-Nian,Pan Ren-Hao,Chen Yung-Fu,Tseng Lin-Yu

Funder

Central Taiwan University of Science and Technology

Taoyuan General Hospital

National Science Council of Taiwan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference33 articles.

1. MONSSTER: a method for folding globular proteins with a small number of distance restraints;Skolnick;J. Mol. Biol.,1997

2. Ab initio fold prediction of small helical proteins using distance geometry and knowledge-based scoring functions;Huang;J. Mol. Biol.,1999

3. Inter- and intra-chain disulfide bond prediction based on optimal feature selection;Niu;Protein Pept. Lett.,2013

4. Large-scale prediction of disulphide bridges using Kernel methods, two-dimensional recursive neural networks, and weighted graph matching;Cheng;Proteins,2006

5. Predicting the oxidation state of cysteines by multiple sequence alignment;Fiser;Bioinformatics,2000

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