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配体构象应变的分布模型:从小分子到大肽大环。

A Distributional Model of Bound Ligand Conformational Strain: From Small Molecules up to Large Peptidic Macrocycles.

机构信息

Research & Development, BioPharmics LLC, Sonoma County, California95404, United States.

Molecular Structure & Design, Bristol Myers Squibb, Princeton, New Jersey08543, United States.

出版信息

J Med Chem. 2023 Feb 9;66(3):1955-1971. doi: 10.1021/acs.jmedchem.2c01744. Epub 2023 Jan 26.

DOI:10.1021/acs.jmedchem.2c01744
PMID:36701387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9923749/
Abstract

The internal conformational strain incurred by ligands upon binding a target site has a critical impact on binding affinity, and expectations about the magnitude of ligand strain guide conformational search protocols. Estimates for bound ligand strain begin with modeled ligand atomic coordinates from X-ray co-crystal structures. By deriving low-energy conformational ensembles to fit X-ray diffraction data, calculated strain energies are substantially reduced compared with prior approaches. We show that the distribution of expected global strain energy values is dependent on molecular size in a superlinear manner. The distribution of strain energy follows a rectified normal distribution whose mean and variance are related to conformational complexity. The modeled strain distribution closely matches calculated strain values from experimental data comprising over 3000 protein-ligand complexes. The distributional model has direct implications for conformational search protocols as well as for directions in molecular design.

摘要

配体与靶标结合时所产生的内部构象张力对结合亲和力有至关重要的影响,而对配体张力大小的预期则指导着构象搜索的方案。结合配体张力的估算始于从 X 射线共晶结构中得到的模型化配体原子坐标。通过推导出低能量构象系综来拟合 X 射线衍射数据,与之前的方法相比,计算出的应变能显著降低。我们表明,预期的整体应变能值的分布与分子大小呈超线性关系。应变能的分布遵循修正后的正态分布,其均值和方差与构象复杂性有关。所建立的应变分布与包含超过 3000 个蛋白-配体复合物的实验数据中的计算应变值非常吻合。该分布模型对构象搜索方案以及分子设计方向都有直接的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/45ec15a5baf5/jm2c01744_0013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/96774c69f631/jm2c01744_0006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/69c1c550c181/jm2c01744_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/797b131db67e/jm2c01744_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/2616a5645e1c/jm2c01744_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/80ec58506c3c/jm2c01744_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/9fd7ca63bef6/jm2c01744_0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/45ec15a5baf5/jm2c01744_0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/6dd5e47b81d8/jm2c01744_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/50a8868995fc/jm2c01744_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/9f7612c46019/jm2c01744_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/70287d8d5153/jm2c01744_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/cd977c12bc48/jm2c01744_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/96774c69f631/jm2c01744_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/6c6be63c33ff/jm2c01744_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/69c1c550c181/jm2c01744_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/797b131db67e/jm2c01744_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/2616a5645e1c/jm2c01744_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/80ec58506c3c/jm2c01744_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/9fd7ca63bef6/jm2c01744_0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e7/9923749/45ec15a5baf5/jm2c01744_0013.jpg

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