{"title":"A Coarse-Grained Model for Small Organic Molecules with Optimized Lennard-Jones Parameters","authors":"Renjie Zhu, Tong Zhu, Ruibo Wu, Fei Xia","doi":"10.1021/acs.jpcb.6c05069","DOIUrl":null,"url":null,"abstract":"<p>Developing accurate coarse-grained\r\n(CG) molecular models\r\nis crucial\r\nfor constructing databases of complex chemical molecules and enabling\r\ndata-driven research. Here we present the OLJCG model for small organic\r\nmolecules, with Lennard-Jones (LJ) parameters optimized via the Lennard-Jones\r\nStatic Potential Matching method based on the GAFF2 force field. The\r\nOLJCG model is systematically evaluated on two datasets (DS58 and\r\nDS29) for densities, vaporization enthalpies, nonaqueous solvation\r\nfree energies, hydration free energies, and transfer free energies.\r\nThe results demonstrate that the optimized LJ parameters effectively\r\npreserve the description of nonbonded interactions from the all-atom\r\nforce field. The primary sources of error are identified as the neglect\r\nof electrostatic interactions and the use of a nonoptimized water\r\nmodel, providing clear directions for future refinement. The optimization\r\nstrategy proposed here provides a systematic route for developing\r\nCG small-molecule databases.</p>","PeriodicalId":60,"journal":{"name":"The Journal of Physical Chemistry B","volume":"130 38","pages":"10015–10023"},"PeriodicalIF":3.2000,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Physical Chemistry B","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jpcb.6c05069","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Developing accurate coarse-grained
(CG) molecular models
is crucial
for constructing databases of complex chemical molecules and enabling
data-driven research. Here we present the OLJCG model for small organic
molecules, with Lennard-Jones (LJ) parameters optimized via the Lennard-Jones
Static Potential Matching method based on the GAFF2 force field. The
OLJCG model is systematically evaluated on two datasets (DS58 and
DS29) for densities, vaporization enthalpies, nonaqueous solvation
free energies, hydration free energies, and transfer free energies.
The results demonstrate that the optimized LJ parameters effectively
preserve the description of nonbonded interactions from the all-atom
force field. The primary sources of error are identified as the neglect
of electrostatic interactions and the use of a nonoptimized water
model, providing clear directions for future refinement. The optimization
strategy proposed here provides a systematic route for developing
CG small-molecule databases.
期刊介绍:
An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.