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An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12

Authors :
Chen Keasar
Liam J. McGuffin
Björn Wallner
Gaurav Chopra
Badri Adhikari
Debswapna Bhattacharya
Lauren Blake
Leandro Oliveira Bortot
Renzhi Cao
B. K. Dhanasekaran
Itzhel Dimas
Rodrigo Antonio Faccioli
Eshel Faraggi
Robert Ganzynkowicz
Sambit Ghosh
Soma Ghosh
Artur Giełdoń
Lukasz Golon
Yi He
Lim Heo
Jie Hou
Main Khan
Firas Khatib
George A. Khoury
Chris Kieslich
David E. Kim
Pawel Krupa
Gyu Rie Lee
Hongbo Li
Jilong Li
Agnieszka Lipska
Adam Liwo
Ali Hassan A. Maghrabi
Milot Mirdita
Shokoufeh Mirzaei
Magdalena A. Mozolewska
Melis Onel
Sergey Ovchinnikov
Anand Shah
Utkarsh Shah
Tomer Sidi
Adam K. Sieradzan
Magdalena Ślusarz
Rafal Ślusarz
James Smadbeck
Phanourios Tamamis
Nicholas Trieber
Tomasz Wirecki
Yanping Yin
Yang Zhang
Jaume Bacardit
Maciej Baranowski
Nicholas Chapman
Seth Cooper
Alexandre Defelicibus
Jeff Flatten
Brian Koepnick
Zoran Popović
Bartlomiej Zaborowski
David Baker
Jianlin Cheng
Cezary Czaplewski
Alexandre Cláudio Botazzo Delbem
Christodoulos Floudas
Andrzej Kloczkowski
Stanislaw Ołdziej
Michael Levitt
Harold Scheraga
Chaok Seok
Johannes Söding
Saraswathi Vishveshwara
Dong Xu
Foldit Players consortium
Silvia N. Crivelli
Source :
Scientific Reports, Vol 8, Iss 1, Pp 1-18 (2018)
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

Abstract Every two years groups worldwide participate in the Critical Assessment of Protein Structure Prediction (CASP) experiment to blindly test the strengths and weaknesses of their computational methods. CASP has significantly advanced the field but many hurdles still remain, which may require new ideas and collaborations. In 2012 a web-based effort called WeFold, was initiated to promote collaboration within the CASP community and attract researchers from other fields to contribute new ideas to CASP. Members of the WeFold coopetition (cooperation and competition) participated in CASP as individual teams, but also shared components of their methods to create hybrid pipelines and actively contributed to this effort. We assert that the scale and diversity of integrative prediction pipelines could not have been achieved by any individual lab or even by any collaboration among a few partners. The models contributed by the participating groups and generated by the pipelines are publicly available at the WeFold website providing a wealth of data that remains to be tapped. Here, we analyze the results of the 2014 and 2016 pipelines showing improvements according to the CASP assessment as well as areas that require further adjustments and research.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.b0b847aec1154062a3c86bac14d94e55
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-018-26812-8