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Template‐based modeling by ClusPro in CASP13 and the potential for using co‐evolutionary information in docking
Author(s) -
Porter Kathryn A.,
Padhorny Dzmitry,
Desta Israel,
Ignatov Mikhail,
Beglov Dmitri,
Kotelnikov Sergei,
Sun Zhuyezi,
Alekseenko Andrey,
Anishchenko Ivan,
Cong Qian,
Ovchinnikov Sergey,
Baker David,
Vajda Sandor,
Kozakov Dima
Publication year - 2019
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.25808
Subject(s) - casp , template , computer science , homomeric , docking (animal) , data mining , machine learning , protein structure prediction , programming language , chemistry , protein structure , medicine , biochemistry , nursing , protein subunit , gene
As a participant in the joint CASP13‐CAPRI46 assessment, the ClusPro server debuted its new template‐based modeling functionality. The addition of this feature, called ClusPro TBM, was motivated by the previous CASP‐CAPRI assessments and by the proven ability of template‐based methods to produce higher‐quality models, provided templates are available. In prior assessments, ClusPro submissions consisted of models that were produced via free docking of pre‐generated homology models. This method was successful in terms of the number of acceptable predictions across targets; however, analysis of results showed that purely template‐based methods produced a substantially higher number of medium‐quality models for targets for which there were good templates available. The addition of template‐based modeling has expanded ClusPro's ability to produce higher accuracy predictions, primarily for homomeric but also for some heteromeric targets. Here we review the newest additions to the ClusPro web server and discuss examples of CASP‐CAPRI targets that continue to drive further development. We also describe ongoing work not yet implemented in the server. This includes the development of methods to improve template‐based models and the use of co‐evolutionary information for data‐assisted free docking.