Evidence map›Paper›PMID 20540517›Full record

ArticleJournal of medicinal chemistry2010

Complementarity between a docking and a high-throughput screen in discovering new cruzain inhibitors.

Rafaela S Ferreira, Anton Simeonov, Ajit Jadhav, Oliv Eidam, Bryan T Mott, Michael J Keiser, James H McKerrow, David J Maloney, John J Irwin, Brian K Shoichet

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of medicinal chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
14.1field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 241 citations in OpenAlex.

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  20. Advances in the Directed Evolution of Computer-aided Enzymes.Current topics in medicinal chemistry · 2025
    Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Rafaela S FerreiraGraduate Program in Chemistry and Chemical Biology, University of California San Francisco, California 94158, USA.
Anton Simeonov
Ajit Jadhav
Oliv Eidam
Bryan T Mott
Michael J Keiser
James H McKerrow
David J Maloney
John J Irwin
Brian K Shoichet
University of California, San Francisco · US

Funding

NIH Chemical Genomics CenterZIBHG200319 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI AUSTIN, CHRISTOPHER P · 2010 to 2011
$55.9M
DESIGN AND EXPERIMENTAL TESTING OF NEW DOCKING METHODSR01GM059957 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHOICHET, BRIAN K · 1999 to 2017
$4.4M
A Specific Mechanism for Non-Specific InhibitionR01GM071630 · NIGMS · UNIVERSITY OF TORONTO · PI SHOICHET, BRIAN K · 2004 to 2016
$3.6M
Intramural NIH HHSNIGMS NIH HHS GM59957NIGMS NIH HHS R01 GM059957NIGMS NIH HHS R01 GM071630
6 · The paper itself

Abstract

Virtual and high-throughput screens (HTS) should have complementary strengths and weaknesses, but studies that prospectively and comprehensively compare them are rare. We undertook a parallel docking and HTS screen of 197861 compounds against cruzain, a thiol protease target for Chagas disease, looking for reversible, competitive inhibitors. On workup, 99% of the hits were eliminated as false positives, yielding 146 well-behaved, competitive ligands. These fell into five chemotypes: two were prioritized by scoring among the top 0.1% of the docking-ranked library, two were prioritized by behavior in the HTS and by clustering, and one chemotype was prioritized by both approaches. Determination of an inhibitor/cruzain crystal structure and comparison of the high-scoring docking hits to experiment illuminated the origins of docking false-negatives and false-positives. Prioritizing molecules that are both predicted by docking and are HTS-active yields well-behaved molecules, relatively unobscured by the false-positives to which both techniques are individually prone.

Indexed as

Chagas DiseaseComputer SimulationCysteine EndopeptidasesDrug DesignEnzyme InhibitorsHigh-Throughput Screening AssaysHumansProtozoan Proteinscruzain, Trypanosoma cruziCysteine EndopeptidasesEnzyme InhibitorsProtozoan Proteins

Identifiers

PMID20540517
PMCPMC2895358
OpenAlexW2146216242

What OpenQuestion holds

Textmetadata
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.