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

Chen KeasarLiam J McGuffinBjörn WallnerGaurav ChopraBadri AdhikariDebswapna BhattacharyaLauren BlakeLeandro Oliveira BortotRenzhi CaoB K DhanasekaranItzhel DimasRodrigo Antonio FaccioliEshel FaraggiRobert GanzynkowiczSambit GhoshSoma GhoshArtur GiełdońLukasz GolonYi HeLim HeoJie HouMain KhanFiras KhatibGeorge A KhouryChris KieslichDavid E KimPawel KrupaGyu Rie LeeHongbo LiJilong LiAgnieszka LipskaAdam LiwoAli Hassan A MaghrabiMilot MirditaShokoufeh MirzaeiMagdalena A MozolewskaMelis OnelSergey OvchinnikovAnand ShahUtkarsh ShahTomer SidiAdam K SieradzanMagdalena ŚlusarzRafal ŚlusarzJames SmadbeckPhanourios TamamisNicholas TrieberTomasz WireckiYanping YinYang ZhangJaume BacarditMaciej BaranowskiNicholas ChapmanSeth CooperAlexandre DefelicibusJeff FlattenBrian KoepnickZoran PopovićBartlomiej ZaborowskiDavid BakerJianlin ChengCezary CzaplewskiAlexandre Cláudio Botazzo DelbemChristodoulos FloudasAndrzej KloczkowskiStanisław OłdziejMichael LevittHarold ScheragaChaok SeokJohannes SödingSaraswathi VishveshwaraDong Xunull nullSilvia N Crivelli
Published in: Scientific reports (2018)
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.
Keyphrases
  • mental health
  • healthcare
  • electronic health record
  • machine learning
  • protein protein
  • binding protein
  • quality improvement
  • artificial intelligence
  • antiretroviral therapy
  • network analysis