Evidence map›Paper›PMID 28299742›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Virtual High-Throughput Screening for Matrix Metalloproteinase Inhibitors.

Jun Yong Choi, Rita Fuerst

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jun Yong ChoiDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL, 33458, USA. jchoi@scripps.edu.
Rita FuerstDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL, 33458, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structure-based virtual screening (SBVS) is a common method for the fast identification of hit structures at the beginning of a medicinal chemistry program in drug discovery. The SBVS, described in this manuscript, is focused on finding small molecule hits that can be further utilized as a starting point for the development of inhibitors of matrix metalloproteinase 13 (MMP-13) via structure-based molecular design. We intended to identify a set of structurally diverse hits, which occupy all subsites (S1'-S3', S2, and S3) centering the zinc containing binding site of MMP-13, by the virtual screening of a chemical library comprising more than ten million commercially available compounds. In total, 23 compounds were found as potential MMP-13 inhibitors using Glide docking followed by the analysis of the structural interaction fingerprints (SIFt) of the docked structures.

Indexed as

Binding SitesComputational BiologyCrystallography, X-RayDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysMatrix Metalloproteinase 13Matrix Metalloproteinase InhibitorsModels, MolecularMolecular Docking SimulationProtein ConformationSmall Molecule LibrariesStructure-Activity RelationshipMatrix Metalloproteinase 13Matrix Metalloproteinase InhibitorsMMP13 protein, humanSmall Molecule LibrariesDockingMatrix metalloproteinaseStructural interaction fingerprintsStructure-based virtual screeningZn-chelating inhibitor

Identifiers

PMID28299742
PMCPMC6485679

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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.