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在基于结构的药物设计中验证CHARMM参数并探索电荷分布规则。

Validating CHARMM parameters and exploring charge distribution rules in structure-based drug design.

作者信息

Knight Jennifer L, Brooks Charles L

机构信息

Department of Chemistry & Department of Biophysics. University of Michigan., 930 N. University Ave. Ann Arbor, MI 48109 USA.

出版信息

J Chem Theory Comput. 2009;5(6):1680-1691. doi: 10.1021/ct900079t.

DOI:10.1021/ct900079t
PMID:20046995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2719862/
Abstract

Using an extensive series of TIBO compounds that are non-nucleoside inhibitors of HIV-1 reverse transcriptase, we have systematically evaluated the quality of recently developed ligand parameters that are consistent with the CHARMM22 force field. Thermodynamic integration simulations for 44 pairs of TIBO compounds achieve a high level of success with an overall average unsigned error (AUE) in the relative binding affinities of 1.3 kcal/mol; however, the accuracy is strongly dependent on the size differential between the substituents sampled as well as the class of functional group. Low errors are observed among the alkyl, allyl, aldehyde, nitrile, trifluorinated methyl, and halide TIBO derivatives and large systematic errors among thioether derivatives. We have also investigated how different charge assignment schemes for small molecules impact the quality of computed binding affinities for a subset of this series. This study demonstrates the advantage of using model compounds to derive physically meaningful charge distributions and bond-charge increments for rapidly expanding fragment libraries for drug development applications. Specifically, in the absence of a bond-charge increment for a given pair of atom types, the strategy of adopting CHELPG charges from localized regions of model compounds provides reliable results when modeling with the CHARMM force field.

摘要

我们使用了一系列广泛的TIBO化合物(HIV-1逆转录酶的非核苷抑制剂),系统地评估了与CHARMM22力场一致的最新开发的配体参数的质量。对44对TIBO化合物进行的热力学积分模拟取得了很高的成功率,相对结合亲和力的总体平均无符号误差(AUE)为1.3 kcal/mol;然而,准确性强烈依赖于所采样取代基之间的大小差异以及官能团的类别。在烷基、烯丙基、醛、腈、三氟甲基和卤化物TIBO衍生物中观察到低误差,而在硫醚衍生物中则存在较大的系统误差。我们还研究了小分子的不同电荷分配方案如何影响该系列子集中计算的结合亲和力的质量。这项研究证明了使用模型化合物为快速扩展的药物开发应用片段库推导具有物理意义的电荷分布和键电荷增量的优势。具体而言,在给定原子类型对没有键电荷增量的情况下,当使用CHARMM力场进行建模时,从模型化合物的局部区域采用CHELPG电荷的策略可提供可靠的结果。