Structural Bioinformatics Laboratory (GRIB-IMIM), Universitat Pompeu Fabra, Barcelona Research Park of Biomedicine (PRBB), 08003 Barcelona, Catalonia, Spain.
Nucleic Acids Res. 2012 Jul;40(Web Server issue):W147-51. doi: 10.1093/nar/gks553. Epub 2012 Jun 11.
Protein-protein interactions (PPIs) play a crucial role in biology, and high-throughput experiments have greatly increased the coverage of known interactions. Still, identification of complete inter- and intraspecies interactomes is far from being complete. Experimental data can be complemented by the prediction of PPIs within an organism or between two organisms based on the known interactions of the orthologous genes of other organisms (interologs). Here, we present the BIANA (Biologic Interactions and Network Analysis) Interolog Prediction Server (BIPS), which offers a web-based interface to facilitate PPI predictions based on interolog information. BIPS benefits from the capabilities of the framework BIANA to integrate the several PPI-related databases. Additional metadata can be used to improve the reliability of the predicted interactions. Sensitivity and specificity of the server have been calculated using known PPIs from different interactomes using a leave-one-out approach. The specificity is between 72 and 98%, whereas sensitivity varies between 1 and 59%, depending on the sequence identity cut-off used to calculate similarities between sequences. BIPS is freely accessible at http://sbi.imim.es/BIPS.php.
蛋白质-蛋白质相互作用（PPIs）在生物学中起着至关重要的作用，高通量实验大大增加了已知相互作用的覆盖范围。然而，完整的种间和种内相互作用组的鉴定还远远没有完成。实验数据可以通过预测一个生物体或两个生物体之间的蛋白质-蛋白质相互作用来补充，这些预测是基于其他生物体的同源基因（同源物）的已知相互作用。在这里，我们介绍了 BIANA（生物相互作用和网络分析）同源物预测服务器（BIPS），它提供了一个基于网络的界面，以方便基于同源物信息进行蛋白质-蛋白质相互作用预测。BIPS 受益于 BIANA 框架的功能，该框架能够整合几个与蛋白质-蛋白质相互作用相关的数据库。可以使用额外的元数据来提高预测相互作用的可靠性。使用不同相互作用组的已知蛋白质-蛋白质相互作用，通过留一法计算，我们计算了服务器的灵敏度和特异性。特异性在 72%到 98%之间，而灵敏度则根据用于计算序列之间相似性的序列同一性截止值而有所不同，在 1%到 59%之间。BIPS 可在 http://sbi.imim.es/BIPS.php 免费访问。
