Sahakyan Group: Integrative Computational Biology and Machine Learning
Combining computational biology, computational chemistry, and machine learning techniques with biological big data to unravel the higher genomic code of life.
Our research targets genomics through the development of highly quantitative methods for describing the structure and dynamics of (epi)genome, gene regulatory pathways, involved macromolecules and their interaction networks. We are interested in combining computational biology, computational chemistry (QM, MD), advanced machine learning and experimental biophysical and sequencing techniques to reach a new level of precision in structural systems biology at both genome and proteome levels. Other interests span the weak intermolecular forces, origin of life research and prebiotic pathway exploration.