Evidence map›Paper›PMID 24437606›Full record

ArticleJournal of chemical information and modeling2014

LIBSA--a method for the determination of ligand-binding preference to allosteric sites on receptor ensembles.

Harrison J Hocker, Nandini Rambahal, Alemayehu A Gorfe

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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.

Harrison J HockerDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston , 6431 Fannin Street MSB 4.108, Houston, Texas 77030, United States.
Nandini Rambahal
Alemayehu A Gorfe

Funding

Nanoclusters of Lipid-anchored Proteins in Membranes: How and where they appearR01GM100078 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GORFE, ALEMAYEHU A. · 2012 to 2016
$1.4M
Training in Pharmacological SciencesT32GM089657 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANCOCK, JOHN F · 2010 to 2014
$728k
NIGMS NIH HHS R01 GM100078NIGMS NIH HHS T32 GM089657NIGMS NIH HHS T32GM089657
6 · The paper itself

Abstract

Incorporation of receptor flexibility into computational drug discovery through the relaxed complex scheme is well suited for screening against a single binding site. In the absence of a known pocket or if there are multiple potential binding sites, it may be necessary to do docking against the entire surface of the target (global docking). However no suitable and easy-to-use tool is currently available to rank global docking results based on the preference of a ligand for a given binding site. We have developed a protocol, termed LIBSA for LIgand Binding Specificity Analysis, that analyzes multiple docked poses against a single or ensemble of receptor conformations and returns a metric for the relative binding to a specific region of interest. By using novel filtering algorithms and the signal-to-noise ratio (SNR), the relative ligand-binding frequency at different pockets can be calculated and compared quantitatively. Ligands can then be triaged by their tendency to bind to a site instead of ranking by affinity alone. The method thus facilitates screening libraries of ligand cores against a large library of receptor conformations without prior knowledge of specific pockets, which is especially useful to search for hits that selectively target a particular site. We demonstrate the utility of LIBSA by showing that it correctly identifies known ligand binding sites and predicts the relative preference of a set of related ligands for different pockets on the same receptor.

Indexed as

Allosteric SiteApoproteinsCrystallizationDrug DiscoveryLigandsMolecular Docking SimulationProtein ConformationProteinsSmall Molecule LibrariesSubstrate SpecificityApoproteinsLigandsProteinsSmall Molecule Libraries

Identifiers

PMID24437606
PMCPMC3985772

What OpenQuestion holds

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Registered trials

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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.