Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment
S. Vedula, A.M. Bronstein, A. Marx, Computational and Structural Biotechnology Journal 27 (2025) 3292–3298.

Replication Data for: "Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment"
S. Vedula, A.M. Bronstein, A. Marx, (2025).

From lab to wrist: Bridging metabolic monitoring and consumer wearables for heart rate and oxygen consumption modeling
B. Gahtan, S. Vedula, G. Samuelly Leichtag, E. Kodesh, A.M. Bronstein, in:, Proceedings of the 27th International Conference on Multimodal Interaction, Association for Computing Machinery, 2025, pp. 60–77.

How local is clocald? Deep learning reveals locality of the induced magnetic field of polycyclic aromatic hydrocarbons
Y. Davidson, A. Philipp, S. Chakraborty, A.M. Bronstein, R. Gershoni-Poranne, Journal of Chemical Physics 162 (2025).

Machine Learning inference of stellar properties using integrated photometric and spectroscopic data
I. Kamai, A.M. Bronstein, H.B. Perets, The Astrophysical Journal 994 (2025).

Inverse problems with experiment-guided AlphaFold
S.A. Maddipatla, N.E. Sellam, M.I. Bojan, S. Vedula, P. Schanda, A. Marx, A.M. Bronstein, in:, Proceedings of the 42nd International Conference on Machine Learning, ML Research Press, 2025, pp. 42366–42393.