Yovani Marrero-Ponce is a Full Research Professor and an internationally recognized researcher in the fields of chemoinformatics, bioinformatics, artificial intelligence applied to drug discovery, peptide science, and computational molecular design. He currently serves as a Professor-Researcher and Director of Research at the National Institute of Biotechnology ( Universidad Panamericana ) in Mexico and leads the Computer-Aided Molecular Discovery and Bioinformatics Research International Network (CAMD-BIR-IN), a multidisciplinary international network that brings together researchers from universities, research centers, healthcare institutions, and industry in various countries.
He earned a Bachelor of Science in Pharmaceutical Sciences (summa cum laude) from the “Marta Abreu” Central University of Las Villas (Cuba) in 2001, a Master’s degree in Biochemistry in 2003, and a Ph.D. in Chemical Sciences from the University of Havana in 2005. He has completed numerous postdoctoral and research fellowships at internationally renowned institutions, including the University of Valencia (Spain), KU Leuven (Belgium), the Complutense University of Madrid (Spain), and the University of Cartagena (Colombia), among other universities and research centers in Europe and Latin America.
He is a Level III National Researcher (SNI III) designated by the National Council for Humanities, Sciences, and Technologies of Mexico (Area II: Biology and Chemistry). He is the author of more than 210 international scientific publications, with nearly 5,000 citations and an H-index of 45 in Scopus (https://www.scopus.com/authid/detail.uri?authorId=55665599200). Approximately 94% of his publications have been produced through international collaboration, reflecting an extensive scientific network that includes more than 150 collaborators from Europe, North America, Latin America, Asia, and Oceania. According to SciVal indicators, 27.6% of his publications rank among the top 25% of the most-cited articles worldwide, while 56.6% have been published in journals in the top quartile of their respective disciplines according to CiteScore. Furthermore, he has been included in the World Ranking of the Top 2% of the World’s Most Influential Scientists, compiled by Stanford University and Elsevier, which identifies researchers with the greatest global scientific impact using standardized citation metrics
(https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000384).
His research focuses on the development of advanced computational methods for molecular discovery and rational drug design, integrating cheminformatics, bioinformatics, quantitative structure-activity/property relationships (QSAR/QSPR), artificial intelligence, machine learning, network science, and molecular modeling. Throughout his career, he has proposed new mathematical and physicochemical theories, molecular and macromolecular descriptors, predictive models, and computational platforms aimed at identifying and optimizing bioactive compounds and therapeutic peptides. His contributions span the discovery of antimicrobial, anticancer, antiviral, antiparasitic, anti-inflammatory, and dermatological agents, as well as protein and peptide engineering.
In recent years, he has been a pioneer in the integration of artificial intelligence, network science, and large-scale proteome mining for the discovery of multifunctional therapeutic peptides. Among his most recognized scientific contributions are the development of the TOMOCOMD platform and various computational ecosystems for cheminformatics, bioinformatics, molecular modeling, and the discovery of bioactive peptides. His research has contributed to the identification of numerous lead compounds and biomolecules with potential applications in infectious diseases, cancer, neglected tropical diseases, dermatological disorders, and precision medicine.
He has proposed new theories of molecular coding and developed more than 15 computational platforms, programs, and bioinformatics resources widely used in chemical, pharmaceutical, and biomedical research, including TOMOCOMD, StarPep Toolbox, Dover Analyzer, and other resources available at http://tomocomd.com/software, http://mobiosd-hub.com/resources/, and https://github.com/Grupo-Medicina-Molecular-y-Traslacional/.
He has successfully supervised 14 doctoral dissertations, 15 master’s theses, and more than 70 bachelor’s theses, in addition to participating in and/or leading more than 25 national and international research and development projects. He has also delivered more than 180 lectures and scientific presentations at national and international conferences.
He serves on international editorial boards and has served as Guest Editor for various special issues in high-impact scientific journals, including *Antibiotics*, *Frontiers in Bioinformatics*, *Frontiers in Microbiology*, and *Toxins*. He has also edited international books and thematic collections and has participated as a Scientific Member and Session Chair in the MOL2NET international conference series. Example: https://www.mdpi.com/journal/antibiotics/special_issues/Peptides_Discovery.
His scientific career has been recognized with numerous national and international awards, including the Award from the Royal National Academy of Pharmacy of Spain (2009), the TWAS Prize for Young Chemists, multiple National Awards from the Cuban Academy of Sciences, as well as various honors bestowed by the Cuban Ministry of Higher Education for his contributions to the development of computational, mathematical, and bioinformatics methods applied to the chemical, pharmaceutical, and biomedical sciences.
Research Areas
- Drug Design
- Medical and Pharmaceutical Chemistry
- Chemoinformatics and Mathematical Chemistry
- Bioinformatics and Computational Biology
- Information Theory and Statistical Thermodynamics
- Metaheristics
- Molecular Markers and Trait Engineering
- Personalized and Precision Medicine
- Complex Networks and Graph Theory