Critical assessment of methods of protein structure prediction (CASP)Round XII

被引:216
作者
Moult, John [1 ,2 ]
Fidelis, Krzysztof [3 ]
Kryshtafovych, Andriy [3 ]
Schwede, Torsten [4 ,5 ]
Tramontano, Anna [6 ,7 ]
机构
[1] Univ Maryland, Inst Biosci & Biotechnol Res, 9600 Gudelsky Dr, Rockville, MD 20850 USA
[2] Univ Maryland, Dept Cell Biol & Mol Genet, 9600 Gudelsky Dr, Rockville, MD 20850 USA
[3] Univ Calif Davis, Genome Ctr, 451 Hlth Sci Dr, Davis, CA 95616 USA
[4] Univ Basel, Biozentrum, Basel, Switzerland
[5] SIB, Basel, Switzerland
[6] Sapienza Univ Rome, Dept Phys, Fdn Cenci Bolognetti, Ple Aldo Moro 5, I-00185 Rome, Italy
[7] Sapienza Univ Rome, Ist Pasteur, Fdn Cenci Bolognetti, Ple Aldo Moro 5, I-00185 Rome, Italy
关键词
CASP; community wide experiment; protein structure prediction; MODEL QUALITY PREDICTIONS; PREVIOUS CASP EXPERIMENTS; REFINEMENT; COMPLEXES; CATEGORY; GENOMICS; PROGRESS;
D O I
10.1002/prot.25415
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This article reports the outcome of the 12th round of Critical Assessment of Structure Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state of the art in modeling protein structure from amino acid sequence. Participants are provided sequence information and in turn provide protein structure models and related information. Analysis of the submitted structures by independent assessors provides a comprehensive picture of the capabilities of current methods, and allows progress to be identified. This was again an exciting round of CASP, with significant advances in 4 areas: (i) The use of new methods for predicting three-dimensional contacts led to a two-fold improvement in contact accuracy. (ii) As a consequence, model accuracy for proteins where no template was available improved dramatically. (iii) Models based on a structural template showed overall improvement in accuracy. (iv) Methods for estimating the accuracy of a model continued to improve. CASP continued to develop new areas: (i) Assessing methods for building quaternary structure models, including an expansion of the collaboration between CASP and CAPRI. (ii) Modeling with the aid of experimental data was extended to include SAXS data, as well as again using chemical cross-linking information. (iii) A team of assessors evaluated the suitability of models for a range of applications, including mutation interpretation, analysis of ligand binding properties, and identification of interfaces. This article describes the experiment and summarizes the results. The rest of this special issue of PROTEINS contains papers describing CASP12 results and assessments in more detail.
引用
收藏
页码:7 / 15
页数:9
相关论文
共 42 条
[1]  
Abriata LA, 2018, PROTEINS, V86
[2]   Protein structure prediction and structural genomics [J].
Baker, D ;
Sali, A .
SCIENCE, 2001, 294 (5540) :93-96
[3]   The SWISS-MODEL Repository-new features and functionality [J].
Bienert, Stefan ;
Waterhouse, Andrew ;
de Beer, Tjaart A. P. ;
Tauriello, Gerardo ;
Studer, Gabriel ;
Bordoli, Lorenza ;
Schwede, Torsten .
NUCLEIC ACIDS RESEARCH, 2017, 45 (D1) :D313-D319
[4]   Ab initio protein structure prediction: Progress and prospects [J].
Bonneau, R ;
Baker, D .
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 2001, 30 :173-189
[5]   Predicting the Effect of Mutations on Protein-Protein Binding Interactions through Structure-Based Interface Profiles [J].
Brender, Jeffrey R. ;
Zhang, Yang .
PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (10)
[6]   Assessment of predictions in the model quality assessment category [J].
Cozzetto, Domenico ;
Kryshtafovych, Andriy ;
Ceriani, Michele ;
Tramontano, Anna .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2007, 69 :175-183
[7]   Evaluation of CASP8 model quality predictions [J].
Cozzetto, Domenico ;
Kryshtafovych, Andriy ;
Tramontano, Anna .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2009, 77 :157-166
[8]  
Dal Peraro M., 2017, PROTEINS
[9]   Protein-Protein Interaction Sites are Hot Spots for Disease-Associated Nonsynonymous SNPs [J].
David, Alessia ;
Razali, Rozami ;
Wass, Mark N. ;
Sternberg, Michael J. E. .
HUMAN MUTATION, 2012, 33 (02) :359-363
[10]   Emerging methods in protein co-evolution [J].
de Juan, David ;
Pazos, Florencio ;
Valencia, Alfonso .
NATURE REVIEWS GENETICS, 2013, 14 (04) :249-261