Evidence map›Paper›PMID 39950957›Full record

ArticleJournal of chemical theory and computation2025

CHARMM-GUI

Donghyuk Suh, Renana Schwartz, Prashant Kumar Gupta, Shani Zev, Dan T Major, Wonpil Im

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. CHARMM-GUIJournal of chemical information and modeling · 2026
    Article
  2. Article
  3. Article
  4. 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

6 authors.

Donghyuk SuhDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID 0000-0002-7478-4579
Renana SchwartzDepartment of Chemistry, Israel National Institute of Energy Storage (INIES) and Institute for Nanotechnology & Advanced Materials, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Prashant Kumar GuptaDepartment of Chemistry, Israel National Institute of Energy Storage (INIES) and Institute for Nanotechnology & Advanced Materials, Bar-Ilan University, Ramat-Gan 5290002, Israel.ORCID 0000-0002-4792-7538
Shani ZevDepartment of Chemistry, Israel National Institute of Energy Storage (INIES) and Institute for Nanotechnology & Advanced Materials, Bar-Ilan University, Ramat-Gan 5290002, Israel.ORCID 0000-0002-3731-5968
Dan T MajorDepartment of Chemistry, Israel National Institute of Energy Storage (INIES) and Institute for Nanotechnology & Advanced Materials, Bar-Ilan University, Ramat-Gan 5290002, Israel.ORCID 0000-0002-9231-0676
Wonpil ImDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID 0000-0001-5642-6041

Funding

Multiscale ab initio QM/MM and Machine Learning Methods for Accelerated Free Energy SimulationsR44GM133270 · NIGMS · Q-CHEM, INC. · PI FENG, XINTIAN · 2023 to 2024
$1.3M
Development of Computational Tools and Their Applications to Various Biological SystemsR35GM153458 · NIGMS · LEHIGH UNIVERSITY · PI Wonpil Im · 2024 to 2026
$1.2M
EnzyDock-based Multistate and Multiscale Tools for Covalent Drug DesignR21GM148895 · NIGMS · UNIVERSITY OF TEXAS ARLINGTON · PI NAM, KWANGHO · 2023 to 2024
$361k
NIGMS NIH HHS R21 GM148895NIGMS NIH HHS R35 GM153458NIGMS NIH HHS R44 GM133270
6 · The paper itself

Abstract

Enzymes play crucial roles in all biological systems by catalyzing a myriad of chemical reactions. These reactions range from simple one-step processes to intricate multistep cascades. Predicting mechanistically appropriate binding modes along a reaction pathway for substrate, product, and all reaction intermediates and transition states is a daunting task. To address this challenge, special docking programs like EnzyDock have been developed. Yet, running such docking simulations is complicated due to the nature of multistep enzyme processes. This work presents CHARMM-GUI

Indexed as

EnzymesMolecular Docking SimulationProteinsSoftwareLigandsProtein BindingSARS-CoV-2EnzymesLigandsProteins

Identifiers

PMID39950957
PMCPMC11866752

What OpenQuestion 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 OpenQuestion graph.