Evidence map›Paper›PMID 37493980›Full record

ArticleJournal of chemical theory and computation2023

Protein-Ligand CH-π Interactions: Structural Informatics, Energy Function Development, and Docking Implementation.

Yao Xiao, Robert J Woods

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Computational Pipeline for Accelerating the Design of Glycomimetics.Journal of chemical information and modeling · 2025
    Article
  6. Antimicrobial agents and chemotherapy · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

2 authors at 1 institution in 1 country.

Yao XiaoComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States.ORCID 0009-0005-0281-1418
Robert J WoodsComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States.ORCID 0000-0002-2400-6293
University of Georgia · US

Funding

Computational tools to aid the design of glycomimetic agentsR01GM135473 · NIGMS · UNIVERSITY OF GEORGIA · PI WOODS, ROBERT J · 2020 to 2024
$1.6M
Transitioning GLYCAM-Web to a self-sustaining carbohydrate modeling serviceR24GM136984 · NIGMS · UNIVERSITY OF GEORGIA · PI WOODS, ROBERT J · 2020 to 2022
$1.4M
NIGMS NIH HHS R01 GM135473NIGMS NIH HHS R24 GM136984
6 · The paper itself

Abstract

Here, we develop an empirical energy function based on quantum mechanical data for the interaction between methane and benzene that captures the contribution from CH-π interactions. Such interactions are frequently observed in protein-ligand crystal structures, particularly for carbohydrate ligands, but have been hard to quantify due to the absence of a model for CH-π interactions in typical molecular mechanical force fields or docking scoring functions. The CH-π term was added to the AutoDock Vina (AD VINA) scoring function enabling its performance to be evaluated against a cohort of more than 1600 occurrences in 496 experimental structures of protein-ligand complexes. By employing a conformational grid search algorithm, inclusion of the CH-π term was shown to improve the prediction of the preferred orientation of flexible ligands in protein-binding sites and to enhance the detection of carbohydrate-binding sites that display CH-π interactions. Last but not least, this term was also shown to improve docking performance for the CASF-2016 benchmark set and a carbohydrate set.

Indexed as

Molecular Docking SimulationCarbohydratesLigandsModels, MolecularProtein BindingProteinsProtein Structure, TertiaryCarbohydratesLigandsProteins

Identifiers

PMID37493980
PMCPMC10448718
OpenAlexW4385264637

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.