IRIS
metadata only
Prototypical Explanations in an AI Method for Protein Pocket Detection
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
- CaliPPer: quantifying, predicting and improving AI model performance for binding prediction#1076098
- New algorithms and the physics of proteins#363704
- The critical role of artificial intelligence and bioinformatics in accelerating peptide-based vaccine discovery for tackling global infectious diseases.#382571
- Structure-agnostic protein-ligand binding affinity prediction via hierarchical representation alignment.#472575
- A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification.#4453
Record · ID 280646
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