Evidence map›Paper›PMID 28451975›Full record

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

Local Alignment of Ligand Binding Sites in Proteins for Polypharmacology and Drug Repositioning.

Michal Brylinski

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. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

1 author.

Michal BrylinskiDepartment of Biological Sciences, Louisiana State University, 407 Choppin Hall, Baton Rouge, LA, 70803, USA. michal@brylinski.org.

Funding

Combining structure-based network biology and heterogeneous computing for rational drug repositioning and polypharmacologyR35GM119524 · NIGMS · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI BRYLINSKI, MICHAL · 2016 to 2020
$962k
NIGMS NIH HHS R35 GM119524
6 · The paper itself

Abstract

The administration of drugs is a key strategy in pharmacotherapy to treat diseases. Drugs are typically developed to modulate the function of specific proteins, which are directly associated with particular disease states. Nonetheless, recent studies suggest that protein-drug interactions are rather promiscuous and the majority of pharmaceuticals exhibit activity against multiple, often unrelated proteins. Certainly, the lack of selectivity often leads to drug side effects; on the other hand, these polypharmacological attributes can be used to develop drugs acting on multiple targets within a unique disease pathway, as well as to identify new targets for existing drugs, which is known as drug repositioning. To support drug development and repurposing, we developed eMatchSite, a new approach to detect those binding sites having the capability to bind similar compounds. eMatchSite is available as a standalone software and a webserver at http://www.brylinski.org/ematchsite .

Indexed as

SoftwareBinding SitesDrug DiscoveryPolypharmacologyProteinsProteinsBinding site alignmentComputer-aided drug discoveryDrug developmentDrug repositioningeMatchSitePolypharmacologySequence order-independent alignment

Identifiers

PMID28451975
PMCPMC5513668

What OpenQuestion holds

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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.