NCBI PubMed Central
open access
Predicting properties of antifungal drug molecules using neighborhood degree topological indices.
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
- Interpretable Quantitative Structure-Activity Relationship (QSAR) for identification of potent antifungal activity agents towards Candida albicans ATCC 2091.#224809
- Topological regions and experimental carcinogenicity data of polycyclic aromatic hydrocarbons: a comprehensive resource for prediction models.#185960
- Kahn, I.; Lomaka, A.; Karelson, M. Topological Fingerprints as an Aid in Finding Structural Patterns for LRRK2 Inhibition. Mol. Inf. 2014, 33, 269-275.#933051
- Computational Mapping of 18 Orphan Diseases: Topological Inference and NLP Validation of Emergent Drug-Target Cascades#296444
- Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints#1109597
Record · ID 469372
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