Skip to main content Skip to secondary navigation
Main content start

Akshatkumar Nigam

The human genome expresses approximately 20,000 proteins that account for many ailments and complexities. Therefore, studying these proteins and their associated function is key to understanding diseases and developing therapeutics. An approach for this is to experimentally perform single amino-acid modifications and measure the impact on function. However, with an exponentially large search space, these experiments can be time-consuming. In my research, I use modern computational techniques to address this challenge. An integral part of my research is developing both deep learning-based models for predicting complex properties and complementary tools to explain the prediction outcomes.