Ariel Aptekmann is a theoretical biologist who studies the evolution of interactions between proteins and ligands. He is interested in general principles that apply to early catalytic function in the origin of life, the evolution of metabolism, and genomic responses to living conditions. At Rutgers, his research focuses on developing bioinformatic tools to analyze sequence data and predict protein properties aiming to link functionality to environmental niches. Overall he expects to contribute to the understanding of life as a whole, focusing on the evolution of genomes and proteins, aiming to find trends or principles that direct the processes that rule over these nanomachines that make life possible. His goal is to increase our capacity to understand, engineer or predict the behavior of molecular machinery. For this purpose he is developing improved, machine-learning-based algorithms to predict properties associated with molecular machinery.
Postdoctoral Researcher | Environmental Biophysics & Molecular Ecology