Dr. Alexandre Borrel
During my joint Ph.D. program from the University of Helsinki (Finland) and University of Paris (France), I created and completed my thesis on bioinformatics methods to analyze binding sites between a ligand and a protein.
Next, I joined North Carolina State University for my first postdoctoral position. I focused on developing and using cheminformatics methods through a large number of projects including molecular dynamics for new leukemia drugs and specific antibiotic development.
In 2018, I joined the Division of Intramural Research, Biostatistics and Computational Biology Branch of the National Institute of Environmental Health Sciences (NIEHS) where I strengthened my knowledge in computational toxicology through multiple projects supporting the division of the National Toxicology Program (NTP) and the NTP Interagency Center for the Evaluation of Alternative Toxicological Methods (NICEATM).
During these past years I developed expertise in the fields of drug discovery and toxicology using bioinformatics methods.
Computational Chemistry, Cheminformatics, Bioinformatics, Computational toxicology, Biostatistics including Statistical Analysis (supervised and not supervised) and Machine learning, Deep learning, Molecular Modeling, Data Mining and 3D Data Mining, Molecular Dynamics, Augmented Reality, Literature Mining, Systematic Review, Bioassays Analysis, Webserver Development, RNA-Seq, Writing publication.
Programming/scripting languages: Python/R/Ruby on rails/C.
Support programming/server: Git (platform GitHub), Apache2 (server), Docker.
Cheminformatic platforms: ChemAxon suite, Chimera, Pipeline Pilot, Maestro.
Modeling Softwares: Schrödinger suite (Glide, Desmond/GDesmond, pharmacophore), Modeller, GROMACS.
Other Softwares: Google Suite, Gimp, Inkscape, Mendeley, Blender.