Management Sciences and Quantitative Methods Commons^™

An Analysis And Evaluation Of The Wefold Collaborative For Protein Structure Prediction And Its Pipelines In Casp11 And Casp12., Chen Keasar, Liam Mcguffin, Björn Wallner, Gaurav Chopra, Badri Adhikari, Debswapna Bhattacharya, Lauren Blake, Leandro Bortot, Renzhi Cao, B. Dhanasekaran, Itzhel Dimas, Rodrigo Faccioli, Eshel Faraggi, Robert Ganzynkowicz, Sambit Ghosh, Soma Ghosh, Artur Giełdoń, Lukasz Golon, Yi He, Lim Heo, Jie Hou, Main Khan, Firas Khatib, George Khoury, Chris Kieslich, David Kim, Pawel Krupa, Gyu Lee, Hongbo Li, Jilong Li, Agnieszka Lipska, Adam Liwo, Ali Maghrabi, Milot Mirdita, Shokoufeh Mirzaei, Magdalena Mozolewska, Melis Onel, Sergey Ovchinnikov, Anand Shah, Utkarsh Shah, Tomer Sidi, Adam Sieradzan, Magdalena Ślusarz, Rafal Ślusarz, James Smadbeck, Phanourios Tamamis, Nicholas Trieber, Tomasz Wirecki, Yanping Yin

Computer Science Faculty Works

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 signifcantly advanced the feld but many hurdles still remain, which may require new ideas and collaborations. In 2012 a web-based efort called WeFold, was initiated to promote collaboration within the CASP community and attract researchers from other felds 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 …