NCBI PubMed Central
open access
More Accurate Binding Affinity Prediction Using Protein Homology and Ligand-Based Transfer Learning.
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
- Structure-agnostic protein-ligand binding affinity prediction via hierarchical representation alignment.#472575
- Structural Knowledge Is What Matters in Protein-Ligand Binding Affinity Prediction.#319120
- Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance#461062
- Accurate and generalizable protein-ligand binding affinity prediction with geometric deep learning#243137
- AbDist: a lightweight, distance-based model for antibody affinity prediction as an interpretable benchmark for machine learning models.#9668
Record · ID 422973
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