Eli Fernández-de Gortari

Research Fellow

Dr Eli Fernández-de Gortari joined the Nanosafety group led by Dr Ernesto-Alfaro as a research fellow. His research’s main objective in the group is to apply cheminformatics, molecular modelling, and machine learning techniques for the representation, prediction, and design of nano entities based on molecular structure and properties as cytotoxicity, genotoxicity, and systemic effects.

Eli Fernandez holds a PhD. in Cheminformatics and Molecular Drug Design and a Master in Chemical Science degree at the Chemistry School of the National Autonomous University of México (UNAM). He also has postdoctoral experience as a computational drug designer at the University of Michigan Ann Arbor and the University of Minnesota. He develops multitarget SERCA activators as a clinical alternative for heart failure treatment. Eli won several research distinctions and funding as a member of different projects. He also has collaborated in peer-reviewed publications, book chapters, and a pending patent. He was also an educational book coauthor, science lecturer, and doctoral thesis advisor.

Selected Publications

  • Fernández-de Gortari, E., Rodrigo Aguayo-Ortiz, Michel Espinoza-Fonseca, L. (2020)
    A hallmark of phospholamban functional divergence is located in the N-terminal phosphorylation domain
    Computational and Structural Biotechnology Journal
  • Castro-Torres, E., Jimenez-Sandoval, P., Fernández-de Gortari, E., López-Castillo, M., Baruch-Torres, N., López-Hidalgo, M., Brieba, L. G. (2018)
    Structural Basis for the Limited Response to Oxidative and Thiol-Conjugating Agents by Triosephosphate Isomerase from the Photosynthetic Bacteria Synechocystis
    Frontiers in Molecular Biosciences, 5
  • Fernández-de Gortari, E., & Espinoza-Fonseca, L. M.
    Preexisting domain motions underlie protonation-dependent structural transitions of the P-type Ca2+-ATPase
    Physical Chemistry Chemical Physics, 2017; 19(15), 10153–10162
  • Fernández-de Gortari, E., García-Jacas, C. R., Martinez-Mayorga, K., & Medina-Franco, J. L.
    Database fingerprint (DFP): an approach to represent molecular databases
    Journal of Cheminformatics, 2017; 9(1)
  • Fernández-de Gortari, E., Medina-Franco, J.L. et al.
    Relevant epigenetic chemical space: a chemioinformatic characterization of small molecules: DNMT inhibitors
    RSC Advances. 2015, 5, 87465-87476