Evidence map›Paper›PMID 22821581›Full record

ArticleJournal of computational chemistry2012

Extension of the CHARMM General Force Field to sulfonyl-containing compounds and its utility in biomolecular simulations.

Wenbo Yu, Xibing He, Kenno Vanommeslaeghe, Alexander D MacKerell

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 349 papers.

0numbers the graph read from it
0cells of the map it votes in
349citing 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

349 citing papers in PubMed.

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  9. Nano-GAngewandte Chemie (International ed. in English) · 2026
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289 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

4 authors.

Wenbo YuDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland 21201, USA.
Xibing He
Kenno Vanommeslaeghe
Alexander D MacKerell

Funding

Restoration of Tumor Suppression Activity in Malignant MelanomaR01CA107331 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI WEBER, DAVID JOSEPH · 2006 to 2015
$5.4M
Oligonucleotide Conformational HeterogeneityR01GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D · 2003 to 2018
$3.6M
Carbohydrate force fields for structure, dynamics and molecular recognitionR01GM070855 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D · 2005 to 2018
$3.5M
HALOGEN FREE ENERGY DATABASE FOR RATIONAL DRUG DESIGNR29GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D. · 1996 to 2000
$108k
NCI NIH HHS CA107331NCI NIH HHS R01 CA107331NIGMS NIH HHS GM051501NIGMS NIH HHS GM070855NIGMS NIH HHS R01 GM051501NIGMS NIH HHS R01 GM070855NIGMS NIH HHS R29 GM051501
6 · The paper itself

Abstract

Presented is an extension of the CHARMM General Force Field (CGenFF) to enable the modeling of sulfonyl-containing compounds. Model compounds containing chemical moieties such as sulfone, sulfonamide, sulfonate, and sulfamate were used as the basis for the parameter optimization. Targeting high-level quantum mechanical and experimental crystal data, the new parameters were optimized in a hierarchical fashion designed to maintain compatibility with the remainder of the CHARMM additive force field. The optimized parameters satisfactorily reproduced equilibrium geometries, vibrational frequencies, interactions with water, gas phase dipole moments, and dihedral potential energy scans. Validation involved both crystalline and liquid phase calculations showing the newly developed parameters to satisfactorily reproduce experimental unit cell geometries, crystal intramolecular geometries, and pure solvent densities. The force field was subsequently applied to study conformational preference of a sulfonamide based peptide system. Good agreement with experimental IR/NMR data further validated the newly developed CGenFF parameters as a tool to investigate the dynamic behavior of sulfonyl groups in a biological environment. CGenFF now covers sulfonyl group containing moieties allowing for modeling and simulation of sulfonyl-containing compounds in the context of biomolecular systems including compounds of medicinal interest.

Indexed as

Computer SimulationCrystallizationModels, MolecularPeptidomimeticsQuantum TheorySulfinic AcidsSulfonesPeptidomimeticsSulfinic AcidsSulfones

Identifiers

PMID22821581
PMCPMC3477297

What OpenQuestion holds

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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.