ArticleBiotech (Basel (Switzerland))2023
Novel CaLB-like Lipase Found Using ProspectBIO, a Software for Genome-Based Bioprospection.
Gabriela C Brêda, Priscila E Faria, Yuri S Rodrigues, Priscila B Pinheiro, Maria Clara R Nucci, Pau Ferrer, Denise M G Freire, Rodrigo V Almeida, Rafael D Mesquita
Open access · goldAbstract read
In one paragraphArticle in Biotech (Basel (Switzerland)), 2023. 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
0.2field-weighted citation impact, top 44% of its field
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors at 2 institutions in 2 countries.
Gabriela C BrêdaDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.
Priscila E FariaDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.
Yuri S RodriguesDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.
Priscila B PinheiroDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.
Maria Clara R NucciDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.
Pau FerrerDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain.ORCID 0000-0002-5287-4127 Denise M G FreireDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0002-8298-5936 Rodrigo V AlmeidaDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0002-0164-6044 Rafael D MesquitaDepartamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Avenida Athos da Silveira Ramos 149, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0002-2882-3362 Universidade Federal do Rio de Janeiro · BRUniversitat Autònoma de Barcelona · ES
Funding
Coordenação de Aperfeicoamento de Pessoal de Nível Superior PEF PhD fellowshipFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/110.178/2014National Council for Scientific and Technological Development 158956/2015-0
6 · The paper itselfAbstract
Enzymes have been highly demanded in diverse applications such as in the food, pharmaceutical, and industrial fuel sectors. Thus, in silico bioprospecting emerges as an efficient strategy for discovering new enzyme candidates. A new program called ProspectBIO was developed for this purpose as it can find non-annotated sequences by searching for homologs of a model enzyme directly in genomes. Here we describe the ProspectBIO software methodology and the experimental validation by prospecting for novel lipases by sequence homology to
Indexed as
bioprospectionCaLBfunctional characterizationprotein
Identifiers
PMID36648832
PMCPMC9844320
OpenAlexW4316928065
What OpenQuestion holds
Textmetadata
LicenceCC BY
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