Evidence map›Paper›PMID 27390530›Full record

ReviewAdvances and applications in bioinformatics and chemistry : AABC2016

Molecular docking as a popular tool in drug design, an in silico travel.

Jerome de Ruyck, Guillaume Brysbaert, Ralf Blossey, Marc F Lensink

Abstract readReview
In one paragraph

Review in Advances and applications in bioinformatics and chemistry : AABC, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

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37 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

4 authors.

Jerome de RuyckUniversity Lille, CNRS UMR8576 UGSF, Lille, France.
Guillaume BrysbaertUniversity Lille, CNRS UMR8576 UGSF, Lille, France.
Ralf BlosseyUniversity Lille, CNRS UMR8576 UGSF, Lille, France.
Marc F LensinkUniversity Lille, CNRS UMR8576 UGSF, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New molecular modeling approaches, driven by rapidly improving computational platforms, have allowed many success stories for the use of computer-assisted drug design in the discovery of new mechanism-or structure-based drugs. In this overview, we highlight three aspects of the use of molecular docking. First, we discuss the combination of molecular and quantum mechanics to investigate an unusual enzymatic mechanism of a flavoprotein. Second, we present recent advances in anti-infectious agents' synthesis driven by structural insights. At the end, we focus on larger biological complexes made by protein-protein interactions and discuss their relevance in drug design. This review provides information on how these large systems, even in the presence of the solvent, can be investigated with the outlook of drug discovery.

Indexed as

protein–protein dockingquaternary structure predictionresidue interaction networksRINsstructure-based drug designwater position

Identifiers

PMID27390530
PMCPMC4930227

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.