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Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning. J Comput Biol 2020; 27:796-814. [DOI: 10.1089/cmb.2019.0193] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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Cai Y, Li X, Sun Z, Lu Y, Zhao H, Hanson J, Paliwal K, Litfin T, Zhou Y, Yang Y. SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. J Comput Chem 2019; 41:745-750. [PMID: 31845383 DOI: 10.1002/jcc.26132] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 10/07/2019] [Accepted: 12/01/2019] [Indexed: 02/01/2023]
Abstract
Protein structure determination has long been one of the most challenging problems in molecular biology for the past 60 years. Here we present an ab initio protein tertiary-structure prediction method assisted by predicted contact maps from SPOT-Contact and predicted dihedral angles from SPIDER 3. These predicted properties were then fed to the crystallography and NMR system (CNS) for restrained structure modeling. The resulted structures are first evaluated by the potential energy calculated by CNS, followed by dDFIRE energy function for model selections. The method called SPOT-Fold has been tested on 241 CASP targets between 67 and 670 amino acid residues, 60 randomly selected globular proteins under 100 amino acids. The method has a comparable accuracy to other contact-map-based modeling techniques. © 2019 Wiley Periodicals, Inc.
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Affiliation(s)
- Yufeng Cai
- School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou, 510006, China
| | - Xiongjun Li
- School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou, 510006, China
| | - Zhe Sun
- School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou, 510006, China
| | - Yutong Lu
- School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou, 510006, China
| | - Huiying Zhao
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, China
| | - Jack Hanson
- Signal Processing Laboratory, Griffith University, Brisbane, Queensland, 4122, Australia
| | - Kuldip Paliwal
- Signal Processing Laboratory, Griffith University, Brisbane, Queensland, 4122, Australia
| | - Thomas Litfin
- Institute for Glycomics and School of Information and Communication Technology, Griffith University, Southport, Queensland, 4222, Australia
| | - Yaoqi Zhou
- Institute for Glycomics and School of Information and Communication Technology, Griffith University, Southport, Queensland, 4222, Australia
| | - Yuedong Yang
- School of Data and Computer Science, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou, 510006, China
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