Evidence map›Paper›PMID 23476022›Full record

ArticleBioinformatics (Oxford, England)2013

FTFlex: accounting for binding site flexibility to improve fragment-based identification of druggable hot spots.

Laurie E Grove, David R Hall, Dmitri Beglov, Sandor Vajda, Dima Kozakov

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  7. Exploring the structural origins of cryptic sites on proteins.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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

5 authors.

Laurie E GroveDepartment of Sciences, Wentworth Institute of Technology, Boston, MA 01746, USA.
David R Hall
Dmitri Beglov
Sandor Vajda
Dima Kozakov

Funding

Computational mapping of proteins for the binding of ligandsR01GM064700 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2003 to 2015
$4.3M
A MULTISTAGE APPROACH TO PROTEIN-PROTEIN DOCKINGR01GM061867 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2000 to 2016
$4.0M
High-throughput portable software for fragment-based drug designR41GM097907 · NIGMS · ACPHARIS, INC. · PI VAJDA, SANDOR · 2011 to 2011
$98k
NIGMS NIH HHS R01 GM061867NIGMS NIH HHS R01 GM064700NIGMS NIH HHS R01GM064700NIGMS NIH HHS R41 GM097907NIGMS NIH HHS R41GM097907
6 · The paper itself

Abstract

unlabelledComputational solvent mapping finds binding hot spots, determines their druggability and provides information for drug design. While mapping of a ligand-bound structure yields more accurate results, usually the apo structure serves as the starting point in design. The FTFlex algorithm, implemented as a server, can modify an apo structure to yield mapping results that are similar to those of the respective bound structure. Thus, FTFlex is an extension of our FTMap server, which only considers rigid structures. FTFlex identifies flexible residues within the binding site and determines alternative conformations using a rotamer library. In cases where the mapping results of the apo structure were in poor agreement with those of the bound structure, FTFlex was able to yield a modified apo structure, which lead to improved FTMap results. In cases where the mapping results of the apo and bound structures were in good agreement, no new structure was predicted. AVAILABILITY: FTFlex is freely available as a web-based server at http://ftflex.bu.edu/.

Indexed as

AlgorithmsDrug DesignBinding SitesLigandsModels, MolecularProtein ConformationProteinsSoftwareSolventsLigandsProteinsSolvents

Identifiers

PMID23476022
PMCPMC3634182

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.