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Guillermin Agüero-Chapin

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Dr. Guillermin Agüero-Chapin is an Auxiliary Researcher at CIIMAR (Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Portugal), where he has been working since 2009 He obtained a degree in Pharmaceutical Sciences from the Universidad Central de Las Villas (UCLV, Cuba) in 1998, recognized in Spain in 2013, and a Master’s degree in Biochemistry from the "Dr. Zerafin de Zarate Ruiz" Medical School, Cuba, in 2009 (graduated with excellence). He holds a PhD in Biology from the University of Porto (2009-2013). From 2014 to 2018, he was a postdoctoral researcher at CIIMAR. His research expertise spans molecular biology, genetic engineering, and chemo/bioinformatics, with a particular focus on artificial intelligence-based solutions and complex networks for the prediction and analysis of bioactive and antimicrobial peptides (AMPs). His current research focuses on the discovery and design of peptide drugs using both classical and innovative computational approaches, with a particular emphasis on marine sources to address the urgent challenge of antimicrobial resistance.

Research Keywords & Expertise

Big Data
Bioinformatics
Cheminformatics
Comparative Genomics
Alignment-free Models

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13%
Bioinformatics
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Big Data
8%
Alignment-free Models

Short Biography

Dr. Guillermin Agüero-Chapin is an Auxiliary Researcher at CIIMAR (Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Portugal), where he has been working since 2009 He obtained a degree in Pharmaceutical Sciences from the Universidad Central de Las Villas (UCLV, Cuba) in 1998, recognized in Spain in 2013, and a Master’s degree in Biochemistry from the "Dr. Zerafin de Zarate Ruiz" Medical School, Cuba, in 2009 (graduated with excellence). He holds a PhD in Biology from the University of Porto (2009-2013). From 2014 to 2018, he was a postdoctoral researcher at CIIMAR. His research expertise spans molecular biology, genetic engineering, and chemo/bioinformatics, with a particular focus on artificial intelligence-based solutions and complex networks for the prediction and analysis of bioactive and antimicrobial peptides (AMPs). His current research focuses on the discovery and design of peptide drugs using both classical and innovative computational approaches, with a particular emphasis on marine sources to address the urgent challenge of antimicrobial resistance.