Evidence map›Paper›PMID 39999350›Full record

ArticleJournal of chemical theory and computation2025

TinkerModeller: An Efficient Tool for Building Biological Systems in Tinker Simulations.

Xujian Wang, Haodong Liu, Yu Li, Jiahuang Li, Wan-Lu Li

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xujian WangAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, United States.ORCID 0009-0004-0146-9991
Haodong LiuSchool of Biopharmacy, China Pharmaceutical University, Nanjing 211198, China.ORCID 0009-0007-6832-5388
Yu LiAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, United States.
Jiahuang LiSchool of Biopharmacy, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0003-3513-4159
Wan-Lu LiAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0003-0098-0670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polarizable force fields advance our understanding of electrostatic interactions in molecular systems; however, their widespread application is limited by the complexity of required molecular modeling. We here present TinkerModeller (TKM), a versatile software package designed to streamline the construction of biological systems in the Tinker molecular simulation software. The core functionality of TKM lies in its capacity to generate input files for complex molecular systems and facilitate the conversion from classical to polarizable force fields. With a user-friendly, standalone script, TKM provides an intuitive interface that supports users from molecular modeling through to postanalysis, creating a comprehensive platform for molecular dynamics simulations within Tinker. Furthermore, TKM includes an electric field (EF) postanalysis module, introducing a novel approach that employs charge methods and point charge approximations for efficient internal EF estimation. This module offers a computationally low-demand solution for high-throughput EF estimation. Our work paves the way for broader, more accessible use of polarizable force fields within Tinker and introduces a new method for EF estimation, advancing our capacity to explore electrostatic effects in biological and materials science applications.

Indexed as

Molecular Dynamics SimulationSoftwareStatic Electricity

Identifiers

PMID39999350
PMCPMC11912192

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.