arXiv (All)
open access
Boltzina: Efficient and Accurate Virtual Screening via Docking-Guided Binding Prediction with Boltz-2
In structure-based drug discovery, virtual screening using conventional molecular docking methods can be performed rapidly but suffers from limitations in prediction accuracy. Recently, Boltz-2 was proposed, achieving extremely high accuracy in binding affinity prediction, but requiring approximatel
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
- PLATE-VS: a web server for protein-ligand assay curation and cross-target virtual screening datasets.#362331
- Empowering chemical structures with biological insights for scalable phenotypic virtual screening.#437235
- TopU-LBVS: A Realistic Multi Target Benchmark for Ligand Based Virtual Screening#1077667
- ChalcoVina: Enhancing Molecular Docking Accuracy by Incorporating Chalcogen Bond-Aware Scoring#629468
- ChalcoVina: Enhancing Molecular Docking Accuracy by Incorporating Chalcogen Bond-Aware Scoring#629467
Record · ID 1049662
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