Simonetti Franco L, Tornador Cristian, Nabau-Moretó Nuria, Molina-Vila Miguel A, Marino-Buslje Cristina
Fundación Instituto Leloir, Av. Patricias Argentinas 435. C1405BWE, Buenos Aires, Argentina, Pompeu Fabra University (UPF), Dept. de Tecnologies de la Informació i les Comunicacions. Tanger 122-140 08018, Barcelona, Spain, Computational Genomics Laboratory, Genetics Department, Institut de Biologia Universitat de Barcelona (IBUB), Facultat de Biologia, Av Diagonal 645 and Breakthrough Cancer Research Unit, Dexeus University Hospital, Sabino Arana 5-19, Barcelona, Spain.
Database (Oxford). 2014 Nov 19;2014:bau104. doi: 10.1093/database/bau104. Print 2014.
Somatic mutations in protein kinases (PKs) are frequent driver events in many human tumors, while germ-line mutations are associated with hereditary diseases. Here we present Kin-driver, the first database that compiles driver mutations in PKs with experimental evidence demonstrating their functional role. Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations. It also offers an easy and intuitive environment to facilitate the visualization and analysis of mutations in PKs. Because all mutations are mapped onto a multiple sequence alignment, analogue positions between kinases can be identified and tentative new mutations can be proposed for studying by transferring annotation. Finally, our database can also be of use to clinical and translational laboratories, helping them to identify uncommon AMs that can correlate with response to new antitumor drugs. The website was developed using PHP and JavaScript, which are supported by all major browsers; the database was built using MySQL server. Kin-driver is available at: http://kin-driver.leloir.org.ar/
蛋白激酶(PKs)中的体细胞突变是许多人类肿瘤中常见的驱动事件,而种系突变与遗传性疾病相关。在此,我们展示了Kin-driver,这是首个汇编PKs中驱动突变并带有实验证据证明其功能作用的数据库。Kin-driver是一个由专家人工精心策划的数据库,特别关注激活突变(AMs),可作为开发专注于预测功能获得性驱动突变的新一代工具的验证集。它还提供了一个简单直观的环境,便于对PKs中的突变进行可视化和分析。由于所有突变都映射到多序列比对上,因此可以识别激酶之间的类似位置,并通过转移注释提出暂定的新突变以供研究。最后,我们的数据库对临床和转化实验室也有用处,帮助他们识别可能与新型抗肿瘤药物反应相关的罕见AMs。该网站使用PHP和JavaScript开发,所有主流浏览器均支持;数据库使用MySQL服务器构建。Kin-driver可通过以下网址访问:http://kin-driver.leloir.org.ar/