title: The MULTICOM protein tertiary structure prediction system.
abstract: With the expansion of genomics and proteomics data aided by the rapid progress of next-generation sequencing technologies, computational prediction of protein three-dimensional structure is an essential part of modern structural genomics initiatives. Prediction of protein structure through understanding of the theories behind protein sequence-structure relationship, however, remains one of the most challenging problems in contemporary life sciences. Here, we describe MULTICOM, a multi-level combination technique, intended to predict moderate- to high-resolution structure of a protein through a novel approach of combining multiple sources of complementary information derived from the experimentally solved protein structures in the Protein Data Bank. The MULTICOM web server is freely available at http://sysbio.rnet.missouri.edu/multicom_toolbox/.
authors.affiliation: Computer Science Department, C. Bond Life Science Center, Informatics Institute, University of Missouri, Columbia, MO, USA.
authors.forename: Jilong
authors.initials: J
authors.lastname: Li
authors.forename: Debswapna
authors.initials: D
authors.lastname: Bhattacharya
authors.forename: Renzhi
authors.initials: R
authors.lastname: Cao
authors.forename: Badri
authors.initials: B
authors.lastname: Adhikari
authors.forename: Xin
authors.initials: X
authors.lastname: Deng
authors.forename: Jesse
authors.initials: J
authors.lastname: Eickholt
authors.forename: Jianlin
authors.initials: J
authors.lastname: Cheng
mesh_terms: D030562:Databases, Protein; D008958:Models, Molecular; D011487:Protein Conformation; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry*; D012984:Software; D064878:Web Browser
chemical_list: D011506:Proteins