Ajay N. Jain
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Optibrium (United Kingdom)as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4641-8501
- OpenAlex ID
- A5005430934as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
A connectionist architecture for sequential symbolic domains,
Complex macrocycle exploration: parallel, heuristic, and constraint-based conformer generation using ForceGen,
Electrostatic-field and surface-shape similarity for virtual screening and pose prediction,
ForceGen 3D structure and conformer generation: from small lead-like molecules to macrocyclic drugs,
Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock,
Structure- and Ligand-Based Virtual Screening on DUD-E<sup>+</sup>: Performance Dependence on Approximations to the Binding Pocket,
Synergy and Complementarity between Focused Machine Learning and Physics-Based Simulation in Affinity Prediction,
XGen: Real-Space Fitting of Complex Ligand Conformational Ensembles to X-ray Electron Density Maps
+1 more
← Authored by 9
A connectionist architecture for sequential symbolic domains,
Complex macrocycle exploration: parallel, heuristic, and constraint-based conformer generation using ForceGen,
Electrostatic-field and surface-shape similarity for virtual screening and pose prediction,
ForceGen 3D structure and conformer generation: from small lead-like molecules to macrocyclic drugs,
Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock,
Structure- and Ligand-Based Virtual Screening on DUD-E<sup>+</sup>: Performance Dependence on Approximations to the Binding Pocket,
Synergy and Complementarity between Focused Machine Learning and Physics-Based Simulation in Affinity Prediction,
XGen: Real-Space Fitting of Complex Ligand Conformational Ensembles to X-ray Electron Density Maps
+1 more
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Summary
Ajay N. Jain is a human[1].