Evidence map›Paper›PMID 23379370›Full record

ArticleJournal of chemical information and modeling2013

Lessons learned in empirical scoring with smina from the CSAR 2011 benchmarking exercise.

David Ryan Koes, Matthew P Baumgartner, Carlos J Camacho

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 528 papers.

0numbers the graph read from it
0cells of the map it votes in
528citing 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

528 citing papers in PubMed.

  1. GDEE: A Structure-Based Platform for Gene Discovery and Enzyme Engineering.Journal of chemical information and modeling · 2026
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  6. 4-Ethyl phenyl sulfate binding to human serum albumin.Protein science : a publication of the Protein Society · 2026
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  9. EasyDock 1.3: An Automated Pipeline for Molecular Docking.Journal of chemical information and modeling · 2026
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  10. In Silico Isomerization Produces Apt Negative Data for VHTS Validation.Journal of chemical information and modeling · 2026
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  12. Bridging between Structure-Based and Data-Driven Affinity Prediction.Journal of chemical information and modeling · 2026
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  13. Benchmarking Docking Protocols on Predicting Alternative Binding Modes.Journal of chemical information and modeling · 2026
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  18. SynergisticiScience · 2026
    Article
  19. Article
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468 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

3 authors.

David Ryan KoesDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA. dkoes@pitt.edu
Matthew P Baumgartner
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
NIGMS NIH HHS R01 GM097082NIGMS NIH HHS R01GM097082-01
6 · The paper itself

Abstract

We describe a general methodology for designing an empirical scoring function and provide smina, a version of AutoDock Vina specially optimized to support high-throughput scoring and user-specified custom scoring functions. Using our general method, the unique capabilities of smina, a set of default interaction terms from AutoDock Vina, and the CSAR (Community Structure-Activity Resource) 2010 data set, we created a custom scoring function and evaluated it in the context of the CSAR 2011 benchmarking exercise. We find that our custom scoring function does a better job sampling low RMSD poses when crossdocking compared to the default AutoDock Vina scoring function. The design and application of our method and scoring function reveal several insights into possible improvements and the remaining challenges when scoring and ranking putative ligands.

Indexed as

Databases, PharmaceuticalBenchmarkingDrug DiscoveryMolecular Docking SimulationProtein ConformationStructure-Activity Relationship

Identifiers

PMID23379370
PMCPMC3726561

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.