Kumar Shivam, Agarwal Abhinav, Sarmah Dipanka Tanu, Chatterjee Samrat
Complex Analysis Group, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd milestone, Faridabad-Gurgaon Expressway, Faridabad 121001, India.
Systems Biology Ireland, University College Dublin, Dublin, Ireland.
Comput Struct Biotechnol J. 2025 Jul 5;27:3036-3044. doi: 10.1016/j.csbj.2025.07.006. eCollection 2025.
Proteins work in coordination to catalyze and regulate all biological activities and drive cellular functions. The collective behavior of proteins is studied through protein-protein interaction (PPI) networks, which provide a system-level understanding of their regulatory behavior. konnect2prot (k2p) is a web application that generates a context-specific directional PPI network from a list of proteins as input. It identifies influential spreaders in the generated network and detects their biological and topological importance. Here, we report the features added to k2p since its first release. Building on the foundation of its predecessor, k2p 2.0 now integrates differential gene expression analysis, thereby bridging the gap between gene-level regulation and protein-level activity, providing a holistic view of how transcriptional changes fuel cellular behavior. konnect2prot 2.0 is freely accessible at: https://konnect2prot_v2.thsti.in.
蛋白质协同工作以催化和调节所有生物活动并驱动细胞功能。通过蛋白质 - 蛋白质相互作用(PPI)网络研究蛋白质的集体行为,该网络提供了对其调节行为的系统级理解。konnect2prot(k2p)是一个网络应用程序,它以蛋白质列表作为输入生成特定上下文的定向PPI网络。它识别生成网络中有影响力的传播者,并检测它们的生物学和拓扑重要性。在这里,我们报告了自k2p首次发布以来添加的功能。基于其前身的基础,k2p 2.0现在整合了差异基因表达分析,从而弥合了基因水平调节与蛋白质水平活性之间的差距,提供了转录变化如何推动细胞行为的整体视图。konnect2prot 2.0可通过以下网址免费访问:https://konnect2prot_v2.thsti.in。