Bioinformatics Laboratory, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland.
Faculty of Chemistry, University of Warsaw, Warsaw, Poland.
PLoS Comput Biol. 2023 Jul 5;19(7):e1011275. doi: 10.1371/journal.pcbi.1011275. eCollection 2023 Jul.
The CABS model can be applied to a wide range of protein-protein and protein-peptide molecular modeling tasks, such as simulating folding pathways, predicting structures, docking, and analyzing the structural dynamics of molecular complexes. In this work, we use the CABS-dock tool in two diverse modeling tasks: 1) predicting the structures of amyloid protofilaments and 2) identifying cleavage sites in the peptide substrates of proteolytic enzymes. In the first case, simulations of the simultaneous docking of amyloidogenic peptides indicated that the CABS model can accurately predict the structures of amyloid protofilaments which have an in-register parallel architecture. Scoring based on a combination of symmetry criteria and estimated interaction energy values for bound monomers enables the identification of protofilament models that closely match their experimental structures for 5 out of 6 analyzed systems. For the second task, it has been shown that CABS-dock coarse-grained docking simulations can be used to identify the positions of cleavage sites in the peptide substrates of proteolytic enzymes. The cleavage site position was correctly identified for 12 out of 15 analyzed peptides. When combined with sequence-based methods, these docking simulations may lead to an efficient way of predicting cleavage sites in degraded proteins. The method also provides the atomic structures of enzyme-substrate complexes, which can give insights into enzyme-substrate interactions that are crucial for the design of new potent inhibitors.
CABS 模型可应用于广泛的蛋白质-蛋白质和蛋白质-肽分子建模任务,如模拟折叠途径、预测结构、对接和分析分子复合物的结构动力学。在这项工作中,我们在两个不同的建模任务中使用 CABS-dock 工具:1)预测淀粉样蛋白原纤维的结构,2)鉴定蛋白水解酶肽底物的切割位点。在第一种情况下,淀粉样肽同时对接的模拟表明,CABS 模型可以准确预测具有对齐平行结构的淀粉样原纤维的结构。基于对称标准和结合单体估计相互作用能值的组合进行评分,可识别出与实验结构非常匹配的原纤维模型,在分析的 6 个系统中有 5 个系统符合。对于第二个任务,已经表明 CABS-dock 粗粒对接模拟可用于鉴定蛋白水解酶肽底物中的切割位点。15 个分析肽中有 12 个正确识别了切割位点位置。当与基于序列的方法结合使用时,这些对接模拟可能会成为预测降解蛋白中切割位点的有效方法。该方法还提供了酶-底物复合物的原子结构,这可以深入了解对设计新有效抑制剂至关重要的酶-底物相互作用。