Department of Biomedical Sciences, University of Padova, via Ugo Bassi 58b, 35121Padova, Italy.
Department of Information Engineering, University of Padova, via Giovanni Gradenigo 6/B, 35131Padova, Italy.
Nucleic Acids Res. 2023 Jul 5;51(W1):W62-W69. doi: 10.1093/nar/gkad430.
Intrinsic disorder (ID) in proteins is well-established in structural biology, with increasing evidence for its involvement in essential biological processes. As measuring dynamic ID behavior experimentally on a large scale remains difficult, scores of published ID predictors have tried to fill this gap. Unfortunately, their heterogeneity makes it difficult to compare performance, confounding biologists wanting to make an informed choice. To address this issue, the Critical Assessment of protein Intrinsic Disorder (CAID) benchmarks predictors for ID and binding regions as a community blind-test in a standardized computing environment. Here we present the CAID Prediction Portal, a web server executing all CAID methods on user-defined sequences. The server generates standardized output and facilitates comparison between methods, producing a consensus prediction highlighting high-confidence ID regions. The website contains extensive documentation explaining the meaning of different CAID statistics and providing a brief description of all methods. Predictor output is visualized in an interactive feature viewer and made available for download in a single table, with the option to recover previous sessions via a private dashboard. The CAID Prediction Portal is a valuable resource for researchers interested in studying ID in proteins. The server is available at the URL: https://caid.idpcentral.org.
蛋白质中的内无序（ID）在结构生物学中已经得到充分证实，越来越多的证据表明它参与了重要的生物过程。由于在大规模上实验测量动态 ID 行为仍然很困难，许多已发表的 ID 预测器试图填补这一空白。不幸的是，它们的异质性使得比较性能变得困难，这让希望做出明智选择的生物学家感到困惑。为了解决这个问题，蛋白质内无序性的关键评估（CAID）以标准化的计算环境作为社区盲测来评估 ID 和结合区域的预测器。在这里，我们介绍了 CAID 预测门户，这是一个在用户定义的序列上执行所有 CAID 方法的网络服务器。该服务器生成标准化的输出，并促进方法之间的比较，生成突出高可信度 ID 区域的共识预测。该网站包含了广泛的文档，解释了不同 CAID 统计数据的含义，并简要描述了所有方法。预测器输出以交互功能查看器可视化，并以单个表的形式提供下载，还可以通过私人仪表板恢复以前的会话。CAID 预测门户是对研究蛋白质中 ID 感兴趣的研究人员的有价值资源。服务器可在以下网址获得：https://caid.idpcentral.org。
