Biblio

Found 4 results
Filters: Author is Mohapatra, Somesh  [Clear All Filters]
2021
S. Mohapatra, An, J., and Gómez-Bombarelli, R., “Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning”, arXiv: 2103.02565, pp. 1–25, 2021.
C. K. Schissel, Mohapatra, S., Wolfe, J. M., Fadzen, C. M., Bellovoda, K., Wu, C. - L., Wood, J. A., Malmberg, A. B., Loas, A., Gómez-Bombarelli, R., and Pentelute, B. L., “Deep learning to design nuclear-targeting abiotic miniproteins”, Nature Chemistry, 2021.
2020
C. K. Schissel, Mohapatra, S., Wolfe, J. M., Fadzen, C. M., Bellovoda, K., Wu, C. - L., Wood, J. A., Malmberg, A. B., Loas, A., Gómez-Bombarelli, R., and Pentelute, B. L., “Interpretable Deep Learning for De Novo Design of Cell-Penetrating Abiotic Polymers”, bioRxiv, 2020.
B. Qiao, Mohapatra, S., Lopez, J., Leverick, G., Tatara, R., Shibuya, Y., Jiang, Y., France-Lanord, A., Grossman, J. C., Gómez-Bombarelli, R., Johnson, J., and Shao-Horn, Y., “Quantitative Mapping of Molecular Substituents to Macroscopic Properties Enables Predictive Design of Oligoethyleneglycol-Based Lithium Electrolytes”, ACS Central Science, 2020.