ESR1: Bruno Hernández-Alvarado
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Host Organization
Cournia Lab Biomedical Research Foundation Academy of Athens Supervisor Dr. Zoe Cournia 
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Development of a computational methodology to detect allosteric pathways in proteins and application in drug discovery The effect produced from allosteric modulators is achieved through protein amino acid network communication. The project aims to develop and validate a computational methodology for the identification of allosteric protein pathways using Artificial Intelligence Methods. Identifying allosteric pathways and understanding how protein residues communicate to control distal functional regions of the protein could help in the design of novel allosteric drugs.
The two main objectives of this project are:
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Brief Scientific Bio
Bruno Hernández-Alvarado obtained his Bachelor ́s degree in Biological Pharmaceutical Chemistry in 2018 and a M. Sc. degree in 2021 with honors, both from the National Autonomous University of Mexico (UNAM). During his undergraduate studies, he carried out a student exchange at the University of Antioquia in Medellín, Colombia, while during his master ́s studies he did a research stay at the University of Rochester, USA. During his master´s project, he focused on docking and molecular dynamics simulations of GPCRs and has used QSAR methodologies for regulation affairs purposes in the agrochemical and pharmaceutical industry. In 2022, he joined Dr. Cournia´s lab in the Biomedical Research Foundation, Academy of Athens (BRFAA) as an Early-Stage Researcher working in computational methodologies applied to identify allosteric networks in proteins.
Bruno Hernández-Alvarado obtained his Bachelor ́s degree in Biological Pharmaceutical Chemistry in 2018 and a M. Sc. degree in 2021 with honors, both from the National Autonomous University of Mexico (UNAM). During his undergraduate studies, he carried out a student exchange at the University of Antioquia in Medellín, Colombia, while during his master ́s studies he did a research stay at the University of Rochester, USA. During his master´s project, he focused on docking and molecular dynamics simulations of GPCRs and has used QSAR methodologies for regulation affairs purposes in the agrochemical and pharmaceutical industry. In 2022, he joined Dr. Cournia´s lab in the Biomedical Research Foundation, Academy of Athens (BRFAA) as an Early-Stage Researcher working in computational methodologies applied to identify allosteric networks in proteins.
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956314.
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