Laboratory of Molecular Modeling Applied to Chemical and Biological Defense (LMCBD), Military Institute of Engineering, Rio de Janeiro, RJ, 22290-270, Brazil.
Department of Chemistry, Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic.
J Mol Model. 2022 Sep 14;28(10):315. doi: 10.1007/s00894-022-05309-2.
In the present work, a library of 239 frentizole derivatives formerly synthesized by our research group were virtually screened on the FRB domain of mTOR in a search of potential binders for further experimental evaluation. 39 compounds from this library were virtually selected and classified in 7 groups according to their structural features. 9 representative compounds of these 7 groups were further submitted to rounds of MD simulation and MM-PBSA calculations. Analysis of our results pointed to the most promising among these groups as binders to the FRB domain of mTOR. We believe that they structurally represent a priority portion of the original library for further experimental evaluation.
在本工作中,我们对之前由本研究小组合成的 239 个 frentizole 衍生物库进行了虚拟筛选,以寻找潜在的结合物用于进一步的实验评估。从这个库中虚拟选择了 39 种化合物,并根据其结构特征将其分类为 7 组。这 7 组中的 9 种代表性化合物进一步进行了 MD 模拟和 MM-PBSA 计算的循环。对我们的结果进行分析,指出这些化合物中最有前途的部分作为 mTOR 的 FRB 结构域的结合物。我们认为它们在结构上代表了原始库的一个优先部分,需要进一步进行实验评估。