Therapeutics, Drug Discovery & Design
Bridging Drug Discovery and Design through computational modeling to identify precision medicine solutions and life-saving outcomes.
Drug Metabolism Prediction with Molecular Transformers
Optimizing deep learning architectures for accurate and efficient prediction of drug metabolism using SMILES-based sequence-to-sequence models.
ALLIANCE
Computational development and characterization of cyclic peptide binders for the precision delivery of RNA/DNA therapeutics.
HyperBeta
Characterizing the structural dynamics of proteins and self-assembling peptides.
Active Research Area
We are currently finalizing the digital portfolio for this research pillar. More detailed project descriptions, datasets, and software repositories will be published here soon.