Publications
Found 10 results
Filters: Author is Somesh Mohapatra [Clear All Filters]
“Bottlebrush polymers with flexible enantiomeric side chains display differential biological properties”, Nature Chemistry, vol. 14, pp. 85-93, 2022.
, “Chemistry-informed Macromolecule Graph Representation for Similarity Computation, Unsupervised and Supervised Learning”, Machine Learning: Science and Technology, 2022.
, “Learning Matter: Materials Design with Machine Learning and Atomistic Simulations”, Accounts of Materials Research, 2022.
, “Deep Learning Enables Discovery of a Short Nuclear Targeting Peptide for Efficient Delivery of Antisense Oligomers”, JACS Au, vol. 1(11), pp. 2009–2020, 2021.
, “Deep learning to design nuclear-targeting abiotic miniproteins”, Nature Chemistry, 2021.
, “Machine Learning Guides Peptide Nucleic Acid Flow Synthesis and Sequence Design”, Advanced Science, p. 2201988, 2021.
, “Synthetic Glycomacromolecules of Defined Valency, Absolute Configuration, and Topology Distinguish between Human Lectins”, JACS Au, vol. 1(10), pp. 1621–1630, 2021.
, “Deep learning for prediction and optimization of fast-flow peptide synthesis”, ACS Central Science, vol. 6, pp. 2277–2286, 2020.
, “Quantitative Mapping of Molecular Substituents to Macroscopic Properties Enables Predictive Design of Oligoethyleneglycol-Based Lithium Electrolytes”, ACS Central Science, 2020.
, “Reusability report: Designing organic photoelectronic molecules with descriptor conditional recurrent neural networks”, Nature Machine Intelligence, vol. 2, pp. 749–752, 2020.
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