Gabriela Coelho Brêda

Dr. Gabriela Coelho Brêda

Chemistry Institute, Federal University of Rio de Janeiro, Rio de Janeiro 21941-909, Brazil

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 January 2023 in BioTech
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Journal Article
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Gabriela Coelho BrêdaGabriela Coelho Brêda
Gabriela Coelho Brêda
PFPriscila E. Faria
Priscila E. Faria
YRYuri S. Rodrigues
Yuri S. Rodrigues
PPPriscila B. Pinheiro
Priscila B. Pinheiro
MNMaria Clara R. Nucci
Maria Clara R. Nucci
RMRafael Dias Mesquita
Rafael Dias Mesquita
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 Candida antarctica lipase B (CaLB) and conserved motifs. As expected, we observed that the new bioprospecting software could find more sequences (1672) than a conventional similarity-based search in a protein database (733). Additionally, the absence of patent protection was introduced as a criterion resulting in the final selection of a putative lipase-encoding gene from Ustilago hordei (UhL). Expression of UhL in Pichia pastoris resulted in the production of an enzyme with activity towards a tributyrin substrate. The recombinant enzyme activity levels were 4-fold improved when lowering the temperature and increasing methanol concentrations during the induction phase in shake-flask cultures. Protein sequence alignment and structural modeling showed that the recombinant enzyme has high similarity and capability of adjustment to the structure of CaLB. However, amino acid substitutions identified in the active pocket entrance may be responsible for the differences in the substrate specificities of the two enzymes. Thus, the ProspectBIO software allowed the finding of a new promising lipase for biotechnological application without the need for laborious and expensive conventional bioprospecting experimental steps.

9 October 2021 in Biomolecules
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MSMarcos Schwarz
Marcos Schwarz
DADeborah Antunes
Deborah Antunes
Gabriela Coelho BrêdaGabriela Coelho Brêda
Gabriela Coelho Brêda
RVRichard Hemmi Valente
Richard Hemmi Valente
FFFreire Freire
Freire Freire
Jatropha curcas contains seeds with a high oil content, suitable for biodiesel production. After oil extraction, the remaining mass can be a rich source of enzymes. However, data from the literature describing physicochemical characteristics for a monomeric esterase from the J. curcas seed did not fit the electrostatic catapult model for esterases/lipases. We decided to reevaluate this J. curcas esterase and extend its characterization to check this apparent discrepancy and gain insights into the enzyme’s potential as a biocatalyst. After anion exchange chromatography and two-dimensional gel electrophoresis, we identified the enzyme as belonging to the dienelactone hydrolase family, characterized by a cysteine as the nucleophile in the catalytic triad. The enzyme displayed a basic optimum hydrolysis pH of 9.0 and an acidic pI range, in contrast to literature data, making it well in line with the electrostatic catapult model. Furthermore, the enzyme showed low hydrolysis activity in an organic solvent-containing medium (isopropanol, acetonitrile, and ethanol), which reverted when recovering in an aqueous reaction mixture. This enzyme can be a valuable tool for hydrolysis reactions of short-chain esters, useful for pharmaceutical intermediates synthesis, due to both its high hydrolytic rate in basic pH and its stability in an organic solvent.

19 September 2023 in ChemRxiv
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RSRodrigo De Souza
Rodrigo De Souza
Gabriela Coelho BrêdaGabriela Coelho Brêda
Gabriela Coelho Brêda
AFAlexandre França
Alexandre França
KOKleber De Oliveira
Kleber De Oliveira
RARodrigo Volcan Almeida
Rodrigo Volcan Almeida
In this study, we describe a light-driven photocatalytic decarboxylation of palmitic acid and related fatty acids using Chlorella variabilis fatty acid photodecarboxylase (CvFAP). By utilizing violet LED light (50 W; 397 nm), we achieved a remarkable conversion efficiency of 99% within just 4 minutes, surpassing the previous 79% conversion achieved in 60 minutes using blue LED light (300 W; 439 nm). Importantly, the use of 50 W violet LED light also resulted with lower enzyme photoinactivation rate when compared to 300 W blue LED. Comparing the whole-cell biocatalyst with the enzymatic extract, we found that the former demonstrated superior catalytic performance and reduced susceptibility to photoinactivation. Furthermore, through fed-batch reactions using three pulses of 13 mM palmitic acid, we achieved the production of 39 mM of pentadecane within 1 hour, highlighting a promising strategy for enhanced productivity. These findings represent a significant advancement in CvFAP photodecarboxylation processes, utilizing an alternative light source, with potential implications for biofuel production.