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6 Publications


2025 | Published | Journal Article | IST-REx-ID: 20100 | OA | PlanS
Vedula, S., Bronstein, A. M., & Marx, A. (2025). Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment. Computational and Structural Biotechnology Journal. Elsevier. https://doi.org/10.1016/j.csbj.2025.07.039
[Published Version] View | Files available | DOI | WoS
 

2025 | Research Data Reference | IST-REx-ID: 20103 | OA
Vedula, S., Bronstein, A. M., & Marx, A. (2025). Replication Data for: “Improving Prediction Accuracy in Chimeric Proteins with Windowed Multiple Sequence Alignment.” Harvard Dataverse. https://doi.org/10.7910/DVN/DYEBVM
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2025 | Published | Conference Paper | IST-REx-ID: 20707 | OA
Gahtan, B., Vedula, S., Samuelly Leichtag, G., Kodesh, E., & Bronstein, A. M. (2025). From lab to wrist: Bridging metabolic monitoring and consumer wearables for heart rate and oxygen consumption modeling. In Proceedings of the 27th International Conference on Multimodal Interaction (pp. 60–77). Canberra, Australia: Association for Computing Machinery. https://doi.org/10.1145/3716553.3750815
[Published Version] View | Files available | DOI | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 19595 | OA
Davidson, Y., Philipp, A., Chakraborty, S., Bronstein, A. M., & Gershoni-Poranne, R. (2025). How local is “local”? Deep learning reveals locality of the induced magnetic field of polycyclic aromatic hydrocarbons. Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0257558
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2025 | Published | Journal Article | IST-REx-ID: 21246 | OA | PlanS
Kamai, I., Bronstein, A. M., & Perets, H. B. (2025). Machine Learning inference of stellar properties using integrated photometric and spectroscopic data. The Astrophysical Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ae0cbc
[Published Version] View | Files available | DOI | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21327 | OA
Maddipatla, S. A., Sellam, N. E., Bojan, M. I., Vedula, S., Schanda, P., Marx, A., & Bronstein, A. M. (2025). Inverse problems with experiment-guided AlphaFold. In Proceedings of the 42nd International Conference on Machine Learning (Vol. 267, pp. 42366–42393). Vancouver, Canada: ML Research Press.
[Published Version] View | Files available | arXiv
 

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