Dipayan Sarkar

Deep-Interact Studio: An Interactive Deep Learning Model Building Platform for Biomolecular Interaction Prediction

Deep-Interact Studio allows users to build, train, and compare custom deep learning models for predicting biomolecular interactions, with interpretability and support for multiple interaction types.

MoE-Bind: Guiding De Novo Protein Binder Generation with Sparse Experts

MoE-Bind is a sparse Mixture-of-Experts model for protein binder generation that outperforms dense baselines while reducing compute requirements.

ARACoFusion: Uncertainty-aware calibrated deep learning for protein-protein interaction network prediction in Arabidopsis thaliana

ARACoFusion predicts protein-protein interactions in Arabidopsis thaliana using a deep learning model that improves accuracy and reliability through uncertainty-aware techniques and benchmarking against existing predictors.