Evidence map›Paper›PMID 28459991›Full record

ArticleNucleic acids research2017

GASS-WEB: a web server for identifying enzyme active sites based on genetic algorithms.

João P A Moraes, Gisele L Pappa, Douglas E V Pires, Sandro C Izidoro

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

17 citing papers in PubMed, 42 citations in OpenAlex.

  1. Harnessing gut microbiome enzymes:Microbiology spectrum · 2026
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  3. Alpha-ketoglutarate supplementation ameliorates castor oil-induced diarrhea in mice: in silico and in vivo insights.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  4. CAPIM: Catalytic activity and site prediction and analysis tool in multimer proteins.Protein science : a publication of the Protein Society · 2025
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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

4 authors at 3 institutions in 1 country.

João P A MoraesDepartment of Computer Engineering, Advanced Campus at Itabira, Universidade Federal de Itajubá - UNIFEI, Itabira, 35903-087, Brazil.
Gisele L PappaDepartment of Computer Science, Universidade Federal de Minas Gerais - UFMG, Belo Horizonte, 31270-901, Brazil.
Douglas E V PiresCentro de Pesquisas René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, 30190-002, Brazil.
Sandro C IzidoroDepartment of Computer Engineering, Advanced Campus at Itabira, Universidade Federal de Itajubá - UNIFEI, Itabira, 35903-087, Brazil.
Universidade Federal de Itajubá · BRFundação Oswaldo Cruz · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzyme active sites are important and conserved functional regions of proteins whose identification can be an invaluable step toward protein function prediction. Most of the existing methods for this task are based on active site similarity and present limitations including performing only exact matches on template residues, template size restraints, despite not being capable of finding inter-domain active sites. To fill this gap, we proposed GASS-WEB, a user-friendly web server that uses GASS (Genetic Active Site Search), a method based on an evolutionary algorithm to search for similar active sites in proteins. GASS-WEB can be used under two different scenarios: (i) given a protein of interest, to match a set of specific active site templates; or (ii) given an active site template, looking for it in a database of protein structures. The method has shown to be very effective on a range of experiments and was able to correctly identify >90% of the catalogued active sites from the Catalytic Site Atlas. It also managed to achieve a Matthew correlation coefficient of 0.63 using the Critical Assessment of protein Structure Prediction (CASP 10) dataset. In our analysis, GASS was ranking fourth among 18 methods. GASS-WEB is freely available at http://gass.unifei.edu.br/.

Indexed as

AlgorithmsCatalytic DomainSoftwareBinding SitesEnzymesInternetProtein ConformationEnzymes

Identifiers

PMID28459991
PMCPMC5570142
OpenAlexW2609293186

What OpenQuestion holds

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LicenceCC BY-NC
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.