Leveraging the Thermodynamics of Protein Conformations in Drug Discovery.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-12-16 DOI:10.1021/acs.jcim.4c01612
Bin W Zhang, Mikolai Fajer, Wei Chen, Francesca Moraca, Lingle Wang
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Abstract

As the name implies, structure-based drug design requires confidence in the holo complex structure. The ability to clarify which protein conformation to use when ambiguity arises would be incredibly useful. We present a large scale validation of the computational method Protein Reorganization Free Energy Perturbation (PReorg-FEP) and demonstrate its quantitative accuracy in selecting the correct protein conformation among candidate models in apo or ligand induced states for 14 different systems. These candidate conformations are pulled from various drug discovery related campaigns: cryptic conformations induced by novel hits in lead identification, binding site rearrangement during lead optimization, and conflicting structural biology models. We also show an example of a pH-dependent conformational change, relevant to protein design.

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在药物发现中利用蛋白质构象的热力学。
顾名思义,基于结构的药物设计需要对整体复合结构有信心。如果能在出现模棱两可的情况时明确使用哪种蛋白质构象,将非常有用。我们介绍了计算方法蛋白质重组自由能扰动(PReorg-FEP)的大规模验证,并展示了该方法在 14 个不同系统的无配体或配体诱导状态下从候选模型中选择正确蛋白质构象的定量准确性。这些候选构象来自与药物发现相关的各种活动:先导物鉴定中的新发现、先导物优化过程中的结合位点重排以及相互冲突的结构生物学模型所诱发的隐含构象。我们还展示了一个与蛋白质设计相关的 pH 值依赖性构象变化实例。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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