Milind Jagota
Molecular Biology · 2020–2025
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 23 citations into it
- Natural Language Processing — 11 citations into it
Whom Milind Jagota trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Parasuraman (in Molecular Biology)
- Zhiping Weng (in Molecular Biology)
Papers from Milind Jagota's perspective
Ordered by how strongly the researchers Milind Jagota trusts endorse each paper. Same corpus, a different order for every researcher.
- Protein data bank
- Group Equivariant Convolutional Networks
- Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds
- Cormorant: Covariant Molecular Neural Networks
- ZDOCK: An initial‐stage protein‐docking algorithm
- SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
- Updates to the integrated protein-protein interaction benchmarks: Docking benchmark version 5 and affinity benchmark version 2
- N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials
- ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
- ZRANK: Reranking protein docking predictions with an optimized energy function (Proteins: Structure, Function, and Bioinformatics)
Their papers
- A benchmark of expert-level academic questions to assess AI capabilities (2025) — 349 citations
- Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes (2020) — 68 citations