학술논문
An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12.
Document Type
article
Author
Keasar, Chen; McGuffin, Liam J; Wallner, Björn; Chopra, Gaurav; Adhikari, Badri; Bhattacharya, Debswapna; Blake, Lauren; Bortot, Leandro Oliveira; Cao, Renzhi; Dhanasekaran, BK; Dimas, Itzhel; Faccioli, Rodrigo Antonio; Faraggi, Eshel; Ganzynkowicz, Robert; Ghosh, Sambit; Ghosh, Soma; Giełdoń, Artur; Golon, Lukasz; He, Yi; Heo, Lim; Hou, Jie; Khan, Main; Khatib, Firas; Khoury, George A; Kieslich, Chris; Kim, David E; Krupa, Pawel; Lee, Gyu Rie; Li, Hongbo; Li, Jilong; Lipska, Agnieszka; Liwo, Adam; Maghrabi, Ali Hassan A; Mirdita, Milot; Mirzaei, Shokoufeh; Mozolewska, Magdalena A; Onel, Melis; Ovchinnikov, Sergey; Shah, Anand; Shah, Utkarsh; Sidi, Tomer; Sieradzan, Adam K; Ślusarz, Magdalena; Ślusarz, Rafal; Smadbeck, James; Tamamis, Phanourios; Trieber, Nicholas; Wirecki, Tomasz; Yin, Yanping; Zhang, Yang; Bacardit, Jaume; Baranowski, Maciej; Chapman, Nicholas; Cooper, Seth; Defelicibus, Alexandre; Flatten, Jeff; Koepnick, Brian; Popović, Zoran; Zaborowski, Bartlomiej; Baker, David; Cheng, Jianlin; Czaplewski, Cezary; Delbem, Alexandre Cláudio Botazzo; Floudas, Christodoulos; Kloczkowski, Andrzej; Ołdziej, Stanislaw; Levitt, Michael; Scheraga, Harold; Seok, Chaok; Söding, Johannes; Vishveshwara, Saraswathi; Xu, Dong; Foldit Players consortium; Crivelli, Silvia N
Source
Scientific reports. 8(1)
Subject
Language
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.