PIAS 2.0 博士：一个预测可成药性蛋白-蛋白相互作用数据库的更新。
Dr. PIAS 2.0: an update of a database of predicted druggable protein-protein interactions.
机构信息
Drug Discovery Department, Research & Development Division, PharmaDesign, Inc., Hatchobori 2-19-8, Chuo-ku, Tokyo 104-0032, Japan.
出版信息
Database (Oxford). 2012 Oct 10;2012:bas034. doi: 10.1093/database/bas034. Print 2012.
Druggable Protein-protein Interaction Assessment System (Dr. PIAS) is a database of druggable protein-protein interactions (PPIs) predicted by our support vector machine (SVM)-based method. Since the first publication of this database, Dr. PIAS has been updated to version 2.0. PPI data have been increased considerably, from 71,500 to 83,324 entries. As the new positive instances in our method, 4 PPIs and 10 tertiary structures have been added. This addition increases the prediction accuracy of our SVM classifier in comparison with the previous classifier, despite the number of added PPIs and structures is small. We have introduced the novel concept of 'similar positives' of druggable PPIs, which will help researchers discover small compounds that can inhibit predicted druggable PPIs. Dr. PIAS will aid the effective search for druggable PPIs from a mine of interactome data being rapidly accumulated. Dr. PIAS 2.0 is available at http://www.drpias.net.
可成药性蛋白质-蛋白质相互作用评估系统（Dr. PIAS）是一个数据库，其中包含通过我们的支持向量机（SVM）方法预测的可成药性蛋白质-蛋白质相互作用（PPIs）。自该数据库首次发布以来，已经更新到了 2.0 版本。PPIs 数据有了相当大的增加，从 71500 个条目增加到 83324 个条目。作为我们方法中的新正实例，增加了 4 个 PPI 和 10 个三级结构。尽管添加的 PPIs 和结构数量很少，但与之前的分类器相比，这增加了我们 SVM 分类器的预测准确性。我们引入了可成药性 PPIs 的“相似正实例”的新概念，这将帮助研究人员发现可以抑制预测的可成药性 PPIs 的小分子化合物。Dr. PIAS 将有助于从快速积累的相互作用组数据中有效地搜索可成药性 PPIs。Dr. PIAS 2.0 可在 http://www.drpias.net 上获得。
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