Departments of Biological Sciences, Chemistry, Bioengineering, and Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
J Chem Inf Model. 2021 Aug 23;61(8):3744-3751. doi: 10.1021/acs.jcim.1c00561. Epub 2021 Jul 23.
A protein performs its task by binding a variety of ligands in its local region that is also known as the ligand-binding-site (LBS). Therefore, accurate prediction, characterization, and refinement of LBS can facilitate protein functional annotations and structure-based drug design. In this work, we present CHARMM-GUI (https://www.charmm-gui.org/input/lbsfinder) that predicts potential LBS, offers interactive features for local LBS structure analysis, and prepares various molecular dynamics (MD) systems and inputs by setting up distance restraint potentials for LBS structure refinement. supports 5 different commonly used simulation programs, such as NAMD, AMBER, GROMACS, GENESIS, and OpenMM, for LBS structure refinement together with hydrogen mass repartitioning. The capability of is illustrated through LBS structure predictions and refinements of 48 modeled and 20 apo benchmark target proteins. Overall, successful LBS structure predictions and refinements are seen in our benchmark tests. We hope that is useful to predict, characterize, and refine potential LBS on any given protein of interest.
蛋白质通过结合其局部区域中的各种配体来执行其任务,该局部区域也称为配体结合位点(LBS)。因此,准确预测、描述和优化 LBS 可以促进蛋白质功能注释和基于结构的药物设计。在这项工作中,我们介绍了 CHARMM-GUI(https://www.charmm-gui.org/input/lbsfinder),它可以预测潜在的 LBS,提供用于局部 LBS 结构分析的交互功能,并通过设置距离约束势来准备各种分子动力学(MD)系统和输入,以进行 LBS 结构优化。CHARMM-GUI 支持 5 种常用的模拟程序,如 NAMD、AMBER、GROMACS、GENESIS 和 OpenMM,用于 LBS 结构优化和氢质量重新分配。通过对 48 个建模和 20 个 apo 基准靶蛋白的 LBS 结构预测和优化,展示了 CHARMM-GUI 的功能。总的来说,在我们的基准测试中,成功地预测和优化了 LBS 结构。我们希望 CHARMM-GUI 可以帮助预测、描述和优化任何给定的感兴趣蛋白质的潜在 LBS。