Designed and executed all-atom simulations of Fe-Fe hydrogenase enzymes to help the further development of their usage for the production of molecular hydrogen sustainably.
Through the modeling of variants coming from different organisms, I was able to elucidate the possible pathways of entrance of CO into the active site and inhibit the formation of hydrogen and designed and simulated several mutant models, which were later replicated experimentally by our collaborators in Marseille, France.
Set up the models and scripts to carry out the computational simulations using either GPUs or the institution's supercomputing clusters, via parallelization with OpenMPI.
Automated workflow and testing via Bash and Python scripts.
Analyzed and manipulated simulation data to elucidate all possible stages and transitions during the CO-induced inhibition of the enzymes using machine and deep learning with libraries such as Pandas, Sklearn, Scipy and Tensorflow.
Created visualizations and dashboards to communicate findings with coworkers.
Worked remotely for several weeks via SSH.
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