Confident datasets of client, driver and negative proteins in liquid-liquid phase separation

Proteins can form biomolecular condensates in a process called liquid-liquid phase separation (LLPS). These condensates can be formed by many proteins with different roles, either leading its formation (drivers) or being participants (clients). Many databases are developed to collect LLPS proteins but the level of annotations widely varies between them, preventing fair benchmarks and specific predictive tools. The datasets here deposited are generated by rationally filtering the most relevant LLPS resources that eventually integrate confident annotations of client, driver and negative proteins in the LLPS framework.

蛋白质可通过液-液相分离（liquid-liquid phase separation, LLPS）过程形成生物分子凝聚体。此类凝聚体可由多种功能各异的蛋白质组装形成，其中部分蛋白质作为驱动因子（drivers）介导凝聚体的形成，另一部分则作为底物蛋白（clients）参与其中。目前已有诸多数据库用于收录LLPS相关蛋白质，但各数据库的注释水平参差不齐，这阻碍了公平基准测试与专用预测工具的开发。本数据集库所收录的数据集，均通过合理筛选最具相关性的LLPS相关资源构建而成，最终整合了LLPS研究框架下底物蛋白、驱动因子与阴性蛋白质的可靠注释信息。