<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-13T17:10:00Z</responseDate>
  <request identifier="oai:figshare.com:article/33777998" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/33777998</identifier>
        <datestamp>2026-09-15T08:14:27Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_4</setSpec>
        <setSpec>category_915</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_39</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_133</setSpec>
        <setSpec>category_135</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A Coarse-Grained
Model for Small Organic Molecules
with Optimized Lennard-Jones Parameters</dc:title>
          <dc:creator>Renjie Zhu (8161122)</dc:creator>
          <dc:creator>Tong Zhu (8079)</dc:creator>
          <dc:creator>Ruibo Wu (1374138)</dc:creator>
          <dc:creator>Fei Xia (256985)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>transfer free energies</dc:subject>
          <dc:subject>small organic molecules</dc:subject>
          <dc:subject>providing clear directions</dc:subject>
          <dc:subject>optimization strategy proposed</dc:subject>
          <dc:subject>hydration free energies</dc:subject>
          <dc:subject>gaff2 force field</dc:subject>
          <dc:subject>complex chemical molecules</dc:subject>
          <dc:subject>atom force field</dc:subject>
          <dc:subject>parameters optimized via</dc:subject>
          <dc:subject>nonoptimized water model</dc:subject>
          <dc:subject>developing cg small</dc:subject>
          <dc:subject>oljcg model</dc:subject>
          <dc:subject>vaporization enthalpies</dc:subject>
          <dc:subject>two datasets</dc:subject>
          <dc:subject>systematically evaluated</dc:subject>
          <dc:subject>systematic route</dc:subject>
          <dc:subject>results demonstrate</dc:subject>
          <dc:subject>primary sources</dc:subject>
          <dc:subject>nonbonded interactions</dc:subject>
          <dc:subject>molecule databases</dc:subject>
          <dc:subject>molecular models</dc:subject>
          <dc:subject>future refinement</dc:subject>
          <dc:subject>enabling data</dc:subject>
          <dc:subject>electrostatic interactions</dc:subject>
          <dc:subject>driven research</dc:subject>
          <dc:subject>constructing databases</dc:subject>
          <dc:description>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.</dc:description>
          <dc:date>2026-09-15T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1021/acs.jpcb.6c05069.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/A_Coarse-Grained_Model_for_Small_Organic_Molecules_with_Optimized_Lennard-Jones_Parameters/33777998</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
