Salihoglu Rana, Srivastava Mugdha, Liang Chunguang, Schilling Klaus, Szalay Aladar, Bencurova Elena, Dandekar Thomas
Department of Bioinformatics, University of Würzburg, Würzburg, Germany.
Core Unit Systems Medicine, University of Würzburg, 97080 Würzburg, Germany.
Comput Struct Biotechnol J. 2023 Apr 26;21:2767-2779. doi: 10.1016/j.csbj.2023.04.023. eCollection 2023.
PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organisms and the human proteome. We integrated dynamical network simulation using the Jimena framework, which quickly and efficiently simulates Boolean genetic regulatory networks. It enables simulation outputs with in-depth analysis of the type, strength, duration and pathway of the protein interactions on the website. Furthermore, the user can efficiently edit and analyse the effect of network modifications and engineering experiments. In case studies, applications of PRO-Simat are demonstrated: (i) understanding mutually exclusive differentiation pathways in , (ii) making Vaccinia virus oncolytic by switching on its viral replication mainly in cancer cells and triggering cancer cell apoptosis and (iii) optogenetic control of nucleotide processing protein networks to operate DNA storage. Multilevel communication between components is critical for efficient network switching, as demonstrated by a general census on prokaryotic and eukaryotic networks and comparing design with synthetic networks using PRO-Simat. The tool is available at https://prosimat.heinzelab.de/ as a web-based query server.
PRO - Simat是一种用于分析蛋白质相互作用网络、其动态变化和通路工程的模拟工具。它从一个包含32种模式生物和人类蛋白质组中800多万种蛋白质 - 蛋白质相互作用的综合数据库中提供基因本体(GO)富集分析、京都基因与基因组百科全书(KEGG)通路分析以及网络可视化。我们使用Jimena框架集成了动态网络模拟,该框架能快速高效地模拟布尔遗传调控网络。它能在网站上输出模拟结果,并对蛋白质相互作用的类型、强度、持续时间和通路进行深入分析。此外,用户可以高效地编辑和分析网络修改及工程实验的效果。在案例研究中,展示了PRO - Simat的应用:(i)理解[具体生物]中的互斥分化途径;(ii)通过主要在癌细胞中开启痘苗病毒的病毒复制并触发癌细胞凋亡,使痘苗病毒具有溶瘤作用;(iii)对核苷酸加工蛋白网络进行光遗传学控制以实现DNA存储。正如通过对原核生物和真核生物网络的普查以及使用PRO - Simat将设计与合成网络进行比较所证明的那样,组件之间的多级通信对于高效的网络切换至关重要。该工具可在https://prosimat.heinzelab.de/ 作为基于网络的查询服务器获取。