bioRxiv / medRxiv
open access
Lacuna: Cryptic Binding Pocket Discovery via Conformational Ensemble Analysis
Lacuna, an open-source Python tool for discovering cryptic binding pockets: sites that are absent or too small to detect in a protein's unbound structure and open only during conformational fluctuation. Most binding-site predictors score a single static structure, which is precisely the structure in
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
- AlphaGEM enables precise genome-scale metabolic modelling by integrating protein structure alignment with deep-learning-based dark metabolism mining.#472459
- From Measurement to Confidence: Interpreting Structure Quality Metrics for Predicted Structures Without Experimental Ground Truth#1328749
- Overcoming systematic data biases enables accurate prediction of enzyme <i>k</i> <sub>cat</sub> fold-changes for computational protein design#273238
- pyfraglib: An integrated cfDNA fragmentomics platform#663828
- Protein engineering: Status report#1251610
Record · ID 1361608
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