Evidence map›Paper›PMID 25049193›Full record

ArticleJournal of computational chemistry2014

Shape-based virtual screening with volumetric aligned molecular shapes.

David Ryan Koes, Carlos J Camacho

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2014. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. AutoDock-SS: AutoDock for Multiconformational Ligand-Based Virtual Screening.Journal of chemical information and modeling · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. AlphaSpace 2.0: Representing Concave Biomolecular Surfaces Using β-Clusters.Journal of chemical information and modeling · 2020
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Fragment oriented molecular shapes.Journal of molecular graphics & modelling · 2016
    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.

David Ryan KoesDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Carlos J Camacho

Funding

Real-time discovery of inhibitors among billion compounds for preview and downloadR01GM097082 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAMACHO, CARLOS J. · 2011 to 2020
$2.5M
Methods, Tools and Resources for Interactive Online Virtual Screening and Lead OptimizationR01GM108340 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOES, DAVID RYAN · 2013 to 2020
$1.8M
NIGMS NIH HHS R01 GM097082NIGMS NIH HHS R01GM097082NIGMS NIH HHS R01 GM108340NIGMS NIH HHS R01GM108340
6 · The paper itself

Abstract

Shape-based virtual screening is an established and effective method for identifying small molecules that are similar in shape and function to a reference ligand. We describe a new method of shape-based virtual screening, volumetric aligned molecular shapes (VAMS). VAMS uses efficient data structures to encode and search molecular shapes. We demonstrate that VAMS is an effective method for shape-based virtual screening and that it can be successfully used as a prefilter to accelerate more computationally demanding search algorithms. Unique to VAMS is a novel minimum/maximum shape constraint query for precisely specifying the desired molecular shape. Shape constraint searches in VAMS are particularly efficient and millions of shapes can be searched in a fraction of a second. We compare the performance of VAMS with two other shape-based virtual screening algorithms a benchmark of 102 protein targets consisting of more than 32 million molecular shapes and find that VAMS provides a competitive trade-off between run-time performance and virtual screening performance.

Indexed as

Computer SimulationMolecular StructureAlgorithmsDrug Evaluation, PreclinicalLigandsModels, MolecularTime FactorsLigandsGSS treemolecular shapeshape constraintsshape indexingvirtual screening

Identifiers

PMID25049193
PMCPMC4140985

What OpenQuestion holds

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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.