5 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Seek and You Shall Fold
Nadav Bojan Sellam, Meital Bojan, Paul Schanda +1
Accurate protein structures are essential for understanding biological function, yet incorporating experimental data into protein generative models remains a major challenge. Most…
Representing local protein environments with machine learning force fields
Meital Bojan, Sanketh Vedula, Advaith Maddipatla +5
The local structure of a protein strongly impacts its function and interactions with other molecules. Therefore, a concise, informative representation of a local protein environmen…
From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag +2
Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a compre…
Inverse problems with experiment-guided AlphaFold
Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan +4
Proteins exist as a dynamic ensemble of multiple conformations, and these motions are often crucial for their functions. However, current structure prediction methods predominantly…