ADMET & Drug-Likeness Report - Generate comprehensive ADMET and drug-likeness report: molecular properties, H-bond analysis, hydrophobicity, topology, and ADMET prediction. Use this skill for medicinal chemistry tasks involving calculate mol basic info calculate mol hbond calculate mol hydrophobicity calculate mol topology pred molecule admet. Combines 5 tools from 2 SCP server(s).
Substructure-Activity Relationship - Analyze substructure-activity: ChEMBL substructure search, activity data, PubChem compounds, and similarity. Use this skill for medicinal chemistry tasks involving get substructure by smiles search activity search pubchem by smiles calculate smiles similarity. Combines 4 tools from 3 SCP server(s).
Convert SMILES strings to CAS registry numbers using material informatics tools to identify chemical substances.
PubChem Deep Dive Analysis - Deep dive into PubChem: compound info, bioassay summary, 3D conformers, synonyms, and general description. Use this skill for chemical databases tasks involving get pubchem compound by cid get assay summary by cid get conformers by cid get compound synonyms by name get general info by compound name. Combines 5 tools from 1 SCP server(s).
Polymer & Material Property Analysis - Analyze polymer properties: composition, symmetry, density, and lattice parameters for material design. Use this skill for polymer science tasks involving MaterialCompositionAnalyzer CalculateSymmetry CalculateDensity MofLattice. Combines 4 tools from 2 SCP server(s).
Rank peptide variants using stability heuristics and hotspot protection; emit top candidates.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.
Identify peptide–protein contact hotspots from a PDB structure (local file or fetched from RCSB) and emit binding hotspot positions.
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
Small-molecule drug lookup by exact drug name or ChEMBL ID. Query MUST be a single drug name or ID — 1 to 3 words maximum. Valid examples: 'sotorasib', 'imatinib', 'ibrutinib', 'CHEMBL25', 'AMG 510'. If the topic is 'sotorasib KRAS G12C', the correct query is 'sotorasib'. If the topic is 'BTK inhibitors in CLL', search PubMed first to get a specific drug name, then query ChEMBL with that name. Strip protein names, mutation labels, and mechanism words — pass only the compound name.
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.
ToolUniverse workflow — Chemical Compound Retrieval
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
