An all-atom force field for MD simulations on organosulfur and organohalogen active pharmaceutical ingredients developed from experimental sublimation enthalpies and single crystal X-ray diffraction data†

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Cátia S. D. Lopes, Manuel E. Minas da Piedade and Carlos E. S. Bernardes
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Abstract

An all-atom force field for MD simulations on crystalline Active Pharmaceutical Ingredients (API) containing sulfur and halogens was developed and tested. Validation was performed by comparing the MD results with enthalpies of sublimation experimentally determined by Calvet microcalorimetry and reported single crystal X-ray diffraction data. The test set consisted of sulfanilamide, sulfapyridine, chlorzoxazone, clioquinol, and triclosan. The development was incremental. The OPLS-AA model was taken as the starting point. Then dihedral parameters missing in the OPLS-AA database were obtained from PES data computed at the MP2/aug-cc-pVDZ level of theory. Finally, several methods to determine atomic point charges were tested and a procedure based on the ChelpG methodology, with the inclusion of X-sites mimicking the σ-hole in the case of iodine, was found to provide the best overall accuracy in terms of unit cell dimensions and enthalpy of sublimation predictions.

Abstract Image

基于实验升华焓和单晶x射线衍射数据的有机硫和有机卤素活性药物成分的MD模拟全原子力场
建立了含硫和卤素晶体活性药物成分(API)的全原子力场,并对其进行了动力学模拟。通过将MD结果与Calvet微量热法测定的升华焓和报道的单晶x射线衍射数据进行比较,验证了MD结果。试验装置由磺胺、磺胺吡啶、氯唑唑酮、氯喹诺、三氯生组成。开发是渐进式的。以OPLS-AA模型为起点。然后从理论上MP2/ 8 -cc- pvdz水平计算的PES数据中获取OPLS-AA数据库中缺失的二面体参数。最后,我们测试了几种确定原子点电荷的方法,发现基于ChelpG方法的一种方法在单位胞尺寸和升华焓预测方面提供了最好的总体精度,其中包含了模仿碘的σ-空穴的x位。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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