Back to tags
Tag

Agent Skills with tag: drug-discovery

26 skills match this tag. Use tags to discover related Agent Skills and explore similar workflows.

opentargets-database

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

APIdrug-discoverygenomicsdatabase-integration
K-Dense-AI
K-Dense-AI
3,233360

medchem

Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.

cheminformaticsdrug-discoverydrug-likenessPAINS
K-Dense-AI
K-Dense-AI
3,233360

biomni

Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.

biomedical-aiautonomous-agentgenomicsdrug-discovery
K-Dense-AI
K-Dense-AI
3,233360

chembl-database

Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

bioinformaticsdrug-discoveryapicheminformatics
K-Dense-AI
K-Dense-AI
3,233360

datamol

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

pythoncheminformaticsdrug-discoveryrdkit
K-Dense-AI
K-Dense-AI
3,233360

deepchem

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

machine-learningcheminformaticsdrug-discoverygraph-neural-networks
K-Dense-AI
K-Dense-AI
3,233360

diffdock

Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.

cheminformaticsmachine-learningdrug-discoverymolecular-docking
K-Dense-AI
K-Dense-AI
3,233360

drugbank-database

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.

database-integrationapidrug-discoverycheminformatics
K-Dense-AI
K-Dense-AI
3,233360

Page 2 of 2 · 26 results