Evidence map›Paper›PMID 25407367›Full record

ArticleFuture medicinal chemistry2014

Docking to multiple pockets or ligand fields for screening, activity prediction and scaffold hopping.

Yu-Chen Chen, Max Totrov, Ruben Abagyan

Abstract read
In one paragraph

Article in Future medicinal chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Comprehensive chemo-profiling of coumarins enriched extract derived fromSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Shared Ligands Between Organic Anion Transporters (OAT1 and OAT6) and Odorant Receptors.Drug metabolism and disposition: the biological fate of chemicals · 2015
    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

3 authors.

Yu-Chen ChenBioinformatics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Max Totrov
Ruben Abagyan

Funding

Structure and Dynamics of Gap Junction ChannelsR01HL048908 · NHLBI · UNIVERSITY OF VIRGINIA · PI YEAGER, MARK JAY · 1994 to 2013
$5.1M
Macromolecular DockingR01GM071872 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2004 to 2017
$4.2M
A Chemical Biology Network for Personalized MedicineRC2LM010994 · NLM · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CARDOZO, TIMOTHY J, MA'AYAN, AVI · 2010 to 2010
$2.1M
NHLBI NIH HHS R01 HL048908NIGMS NIH HHS R01 GM071872NLM NIH HHS RC2 LM010994
6 · The paper itself

Abstract

backgroundTwo recent technological advances dramatically reducing the rate of false-negatives in activity prediction by docking flexible 3D models of compounds include multi-conformational docking (mPockDock) and the docking of candidates to atomic property fields derived by co-crystallized ligands (mApfDock).

resultsThe mApfDock and mPockDock provide the AUC of 90.4 and 83.8%, respectively. The mApfDock gave better performance when compounds required large induced-fit pocket changes unseen in crystallography, whereas the mPockDock is superior when the co-crystallized ligands do not represent sufficient chemical and binding location diversity.

conclusionBoth approaches proved to be efficient for scaffold hopping; they are complementary when the coverage of the co-crystallized complexes is poor but become convergent when the complexes are diverse enough.

Indexed as

Molecular Docking SimulationAnimalsChemistry, PharmaceuticalDrug Evaluation, PreclinicalHumansLigandsLigands

Identifiers

PMID25407367
PMCPMC4285145

What OpenQuestion holds

Textmetadata
LicenceTDM
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.