NCBI PubMed Central
open access
Interpretable Quantitative Structure-Activity Relationship (QSAR) for identification of potent antifungal activity agents towards Candida albicans ATCC 2091.
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
- Integrative computational-experimental discovery and translation of antifungal peptides for multidrug-resistant fungi.#368054
- Impact of natural products on virulence and antifungal resistance of Candida albicans#408591
- High throughput screen reveals four compounds with novel antifungal activity, including a metal-responsive candidate with in vivo efficacy against Candida albicans.#258436
- Design, synthesis, and quantitative structure-antifungal activity relationship of 1,2,4-oxadiazole-containing mappicine derivatives against phytopathogenic fungi.#442997
- FloraMediX: AI-enabled recognition and therapeutic profiling analysis of indian medicinal flora.#392788
Record · ID 224809
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