arXiv (All)
open access
Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer
Demonstrating the practical utility of Noisy Intermediate-Scale Quantum (NISQ) hardware for recurrent tasks in Computer-Aided Drug Discovery is of paramount importance. We tackle this challenge by performing three-dimensional protein pockets hydration-site prediction on a quantum computer. Formulati
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer#1053346
- Implementations of Quantum and Classical Topology-Aligned Architectures for Molecular Property Prediction#370345
- Molecular Dynamics Workflows to Compute Large-Scale Sets of Absolute Binding Free Energies Aiding Drug Candidate and Binding Pose Selection.#239706
- MoTIF-X: A Multimodal Tokenized Framework for Interpretable and Extensible Molecular Representation Learning#1141706
- Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development.#1080566
Record · ID 1050793
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive