Leticia Manen-Freixa
ProCure, Oncobell · IDIBELL
Research Interests
Computational Chemistry, Cheminformatics
Biography
Dr. Leticia Manen-Freixa currently holds the position of R&D Scientist in Cheminformatics & Drug Design at IDIBELL, where she also serves as the Computational Lab Manager. This role has provided her with an invaluable opportunity to specialize in a diverse range of areas of Drug Discovery in the oncology R&D field, including polypharmacology, off-target prediction, and the design of antineoplastic drugs. Beyond this, she has delved into the world of artificial intelligence, with a keen focus on Machine Learning, Deep Learning, and NLP. She obtained her PhD in Chemistry and Chemical Engineering from Universitat Ramon Llull in 2022. Her thesis project was positioned in the field of medicinal chemistry, and due to her significant contributions, her profile could be interdisciplinarily described both as a chemoinformatic and organic chemist. She holds a Degree in Chemistry, a MSc in Teacher Training for Secondary School, and a MSc in Pharmaceutical Chemistry.
Education
PhD in Chemistry & Chemical Engineering (IQS School of Engineering - URL) 2018-2022 Master’s Degree in Pharmaceutical Chemistry (IQS School of Engineering - URL) 2017-2018 Master’s Degree in Formation Of Tearchers For Secondary School (UNIR) 2017-2018 Bachelor of Science: Chemistry (IQS School of Engineering - URL) 2012-2016
Recent Scopus Publications
- Concurrence of FGFR1 mutations modulates oncogenesis in glioneuronal tumors
- Exploring the unexplored chemical space: Rational identification of new Tafenoquine analogs with antimalarial properties
- Short-term exposure to environmental levels of nicotine and cotinine impairs visual motor response in zebrafish larvae through a similar mode of action: Exploring the potential role of zebrafish α7 nAChR
- Polypharmacology prediction: the long road toward comprehensively anticipating small-molecule selectivity to de-risk drug discovery
- Deconstructing Markush: Improving the R&D Efficiency Using Library Selection in Early Drug Discovery
Links
- ORCID https://orcid.org/0000-0001-7077-7657
- Google Scholar https://scholar.google.com/citations?user=r46zpS0AAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57902043200