Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment

Journal article

Open access

Peer reviewed

Renzhi Cao, Zheng Wang and Jianlin Cheng

BMC structural biology, Vol.14(1), pp.13-13

2014-04-15

PMCID: PMC3996498

PMID: 24731387

Abstract

Protein model quality assurance program

Protein structure prediction

Support vector machine

Clustering

Protein model quality assessment

url

https://doi.org/10.1186/1472-6807-14-13View

Published (Version of record) Open

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Collaboration types: Domestic collaboration
Citation topics: 2 Chemistry; 2.123 Protein Stucture, Folding & Modelling; 2.123.13 Protein Folding
Web Of Science research areas: Biophysics
ESI research areas: Biology & Biochemistry

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Title: Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment
Creators: Renzhi Cao - Computer Science Department, University of Missouri, Columbia, Missouri 65211, USA
Zheng Wang - School of Computing, University of Southern Mississippi, Hattiesburg, MS 39406-0001, USA
Jianlin Cheng - Computer Science Department, University of Missouri, Columbia, Missouri 65211, USA
Publication Details: BMC structural biology, Vol.14(1), pp.13-13
Publisher: BioMed Central
Academic Unit: College of A&S; A&S - Computer Science
Language: English
Resource Type: Journal article
PMID: 24731387
PMCID: PMC3996498
Record Identifier: 991031599626102976