Free Energy-Based Refinement of DNA Force Field via Modification of Multiple Nonbonding Energy Terms

The amber-OL21 force field (ff) was developed to better describe noncanonical DNA, including Z-DNA. Despite its improvements for DNA simulations, this study found that OL21's scope of application was limited by embedded ff artifacts. In a benchmark set of seven DNA molecules, including two double-stranded DNAs transitioning between B- and Z-DNA and five single-stranded DNAs folding into mini-dumbbell or G-quadruplex structures, the free energy landscapes obtained using OL21 revealed several issues: Z-DNA was overly stabilized; misfolded states in mini-dumbbell DNAs were most stable; DNA GQ folding was consistently biased toward an antiparallel topology. To address these issues, a simple van der Waals (vdW) correction scheme, referred to as vdW5, was proposed for OL21. This involved revising multiple nonbonding energy terms to improve the overall quality of the free energy landscapes. The vdW5 correction effectively eliminated the artifacts in OL21, providing significantly improved free energy representations for DNAs tested. The vdW5-level revision substantially enhanced the predictive power of DNA simulations, thereby extending the scope of application for amber-OL21.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2024-12-26
DOI
https://doi.org/10.1021/acs.jcim.4c01918
Citations
5
Primary Topic
DNA and Nucleic Acid Chemistry
Type
article
Field-Weighted Citation Impact
1.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Free Energy-Based Refinement of DNA Force Field via Modification of Multiple Nonbonding Energy Terms

Youngshang Pak, Hyeonjun Kim
5 citations
Journal of Chemical Information and Modeling
DNA and Nucleic Acid Chemistry
1.17
article

Free Energy-Based Refinement of DNA Force Field via Modification of Multiple Nonbonding Energy Terms

Youngshang Pak, Hyeonjun Kim
article en
5 citations

Abstract

The amber-OL21 force field (ff) was developed to better describe noncanonical DNA, including Z-DNA. Despite its improvements for DNA simulations, this study found that OL21's scope of application was limited by embedded ff artifacts. In a benchmark set of seven DNA molecules, including two double-stranded DNAs transitioning between B- and Z-DNA and five single-stranded DNAs folding into mini-dumbbell or G-quadruplex structures, the free energy landscapes obtained using OL21 revealed several issues: Z-DNA was overly stabilized; misfolded states in mini-dumbbell DNAs were most stable; DNA GQ folding was consistently biased toward an antiparallel topology. To address these issues, a simple van der Waals (vdW) correction scheme, referred to as vdW5, was proposed for OL21. This involved revising multiple nonbonding energy terms to improve the overall quality of the free energy landscapes. The vdW5 correction effectively eliminated the artifacts in OL21, providing significantly improved free energy representations for DNAs tested. The vdW5-level revision substantially enhanced the predictive power of DNA simulations, thereby extending the scope of application for amber-OL21.

Journal of Chemical Information and ModelingVol. 65(1)
Pusan National University (KR)
National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 21%
DNA and Nucleic Acid Chemistry
1.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Free Energy-Based Refinement of DNA Force Field via Modification of Multiple Nonbonding Energy Terms — Youngshang Pak, Hyeonjun Kim · Journal of Chemical Information and Modeling (2024) | TGRS Research Map | TGRS