Department of Computer Science, Ben Gurion University of the Negev, Be'er sheva, Israel.
Biomedical Sciences Division, School of Biological Sciences, University of Reading, Reading, RG6 6AS, UK.
Sci Rep. 2018 Jul 2;8(1):9939. doi: 10.1038/s41598-018-26812-8.
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.
每两年,来自世界各地的团队都会参与到蛋白质结构预测的关键性评估(Critical Assessment of Protein Structure Prediction,简称 CASP)实验中,对他们的计算方法进行盲测,以检验其优缺点。CASP 极大地推动了该领域的发展,但仍有许多障碍需要克服,这可能需要新的思路和合作。2012 年,一个名为 WeFold 的基于网络的项目启动,旨在促进 CASP 社区内的合作,并吸引来自其他领域的研究人员为 CASP 贡献新的思路。WeFold 合作(合作与竞争)的成员以个人团队的身份参与 CASP,但也共享其方法的组件,以创建混合管道,并积极为此项工作做出贡献。我们断言,任何一个实验室甚至是少数几个合作伙伴之间的合作,都不可能实现如此规模和多样化的综合预测管道。参与团队贡献的模型和管道生成的模型可在 WeFold 网站上公开获取,这些模型提供了丰富的数据,有待进一步挖掘。在这里,我们分析了 2014 年和 2016 年管道的结果,这些结果根据 CASP 的评估显示出了改进,同时也指出了需要进一步调整和研究的领域。