Evidence map›Paper›PMID 28497616›Full record

ArticleJournal of computational chemistry2017

CHARMM-GUI ligand reader and modeler for CHARMM force field generation of small molecules.

Seonghoon Kim, Jumin Lee, Sunhwan Jo, Charles L Brooks, Hui Sun Lee, Wonpil Im

Abstract readNews
In one paragraph

Article in Journal of computational chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 330 papers.

0numbers the graph read from it
0cells of the map it votes in
330citing 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

330 citing papers in PubMed.

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  13. Mutant-Selective Binding ofInternational journal of molecular sciences · 2026
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  16. A pore-facing glycan constrains GABACommunications biology · 2026
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  20. Article

270 more citing papers are in PubMed but not listed here.

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.

Seonghoon KimDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania.
Jumin LeeDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania.
Sunhwan JoLeadership Computing Facility, Argonne National Laboratory, 9700 Cass Ave, Argonne, Illinois.
Charles L BrooksDepartment of Chemistry and the Biophysics Program, University of Michigan, Ann Arbor, Michigan.
Hui Sun LeeDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania.
Wonpil ImDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania.ORCID 0000-0001-5642-6041

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI NAKAMOTO, ROBERT K. · 2010 to 2017
$31.9M
Theoretical Studies of Receptor-Ligand InteractionsR01GM037554 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 1987 to 2018
$3.8M
CHARMM Modernization, Performance, and Continued DevelopmentR01GM103695 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2012 to 2018
$3.1M
NIGMS NIH HHS R01 GM037554NIGMS NIH HHS R01 GM103695NIGMS NIH HHS U54 GM087519
6 · The paper itself

Abstract

Reading ligand structures into any simulation program is often nontrivial and time consuming, especially when the force field parameters and/or structure files of the corresponding molecules are not available. To address this problem, we have developed Ligand Reader & Modeler in CHARMM-GUI. Users can upload ligand structure information in various forms (using PDB ID, ligand ID, SMILES, MOL/MOL2/SDF file, or PDB/mmCIF file), and the uploaded structure is displayed on a sketchpad for verification and further modification. Based on the displayed structure, Ligand Reader & Modeler generates the ligand force field parameters and necessary structure files by searching for the ligand in the CHARMM force field library or using the CHARMM general force field (CGenFF). In addition, users can define chemical substitution sites and draw substituents in each site on the sketchpad to generate a set of combinatorial structure files and corresponding force field parameters for throughput or alchemical free energy simulations. Finally, the output from Ligand Reader & Modeler can be used in other CHARMM-GUI modules to build a protein-ligand simulation system for all supported simulation programs, such as CHARMM, NAMD, GROMACS, AMBER, GENESIS, LAMMPS, Desmond, OpenMM, and CHARMM/OpenMM. Ligand Reader & Modeler is available as a functional module of CHARMM-GUI at http://www.charmm-gui.org/input/ligandrm. © 2017 Wiley Periodicals, Inc.

Indexed as

CGenFFdrug designmolecular dynamics simulationmolecular modelingprotein-ligand interactions

Identifiers

PMID28497616
PMCPMC5488718

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Registered trials

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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.