Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data-Reference-Cited by-同舟云学术

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Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data

Published:2012-11-21 Issue:1 Volume:13 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Barros Rodrigo C,Winck Ana T,Machado Karina S,Basgalupp Márcio P,de Carvalho André CPLF,Ruiz Duncan D,de Souza Osmar Norberto

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-13-310.pdf

Reference56 articles.

1. Lyne PD: Structure-based virtual screening: an overview. Drug Discov Today 2002, 7: 1047–1055. 10.1016/S1359-6446(02)02483-2

2. Adams C, Brantner V: Spending on new drug development. Health Econ 2010, 19: 130–141. 10.1002/hec.1454

3. Huang SY, Zou X: Ensemble docking of multiple protein structures: Considering protein structural variations in molecular docking. Proteins 2006, 66: 399–421. 10.1002/prot.21214

4. Verkhivker GM, Bouzida D, Gehlhaar DK, Rejto PA, Freer ST, Rose PW: Computational detection of the binding-site hot spot at the remodeled human growth hormone-receptor interface. Proteins 2003, 53(2):201–219. 10.1002/prot.10456

5. Lin JH, Perryman AL, Schames JR, McCammon JA: The relaxed complex method: Accommodating receptor flexibility for drug design with an improved scoring scheme. Biopolymers 2003, 68: 47–62. 10.1002/bip.10218

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