DiffDock uses advanced diffusion models to predict how small molecules bind to proteins in 3D space. Researchers can accelerate drug discovery by generating accurate binding poses with confidence scores for structure-based drug design.

Transform datasets into publication-ready research by automating hypothesis generation, methodology development, computational experiments, and LaTeX paper writing. Multiagent AI coordinates specialized agents for end-to-end research pipelines.

Process and visualize next-generation sequencing data. Convert BAM to bigWig, generate quality control plots, and create publication-ready heatmaps for ChIP-seq, RNA-seq, and ATAC-seq experiments.

Predict molecular properties like solubility, toxicity, and binding affinity using DeepChem. Train graph neural networks or use pretrained models like ChemBERTa for drug discovery and materials science applications.

Process chemical data efficiently with a Pythonic interface to RDKit. Datamol simplifies complex cheminformatics operations while maintaining full compatibility with the RDKit ecosystem.

Access global statistical data from Data Commons including demographics, economics, health, and environmental indicators. Query population figures, GDP, unemployment rates, and geographic relationships using Python client methods.

Process datasets larger than available RAM using parallel computing. Transform single-machine pandas and NumPy workflows to run across multiple cores or distributed clusters without rewriting your code.

Cancer researchers need comprehensive mutation data for studies. This skill provides programmatic access to the COSMIC database containing millions of somatic mutations, curated cancer gene lists, and mutational signatures for precision oncology research.

Metabolic modeling requires specialized knowledge of constraint-based reconstruction and analysis methods. COBRApy provides a comprehensive Python interface for flux balance analysis, gene knockout studies, and production envelope calculations for systems biology research.

ClinVar contains critical variant classifications for clinical genetics, but accessing and interpreting this data requires specialized knowledge. This skill provides comprehensive guidance for querying ClinVar via web interface, API, or FTP downloads, with detailed interpretation guidelines for clinical significance classifications.

Access ClinPGx to retrieve pharmacogenomics data including gene-drug interactions, CPIC guidelines, and allele function information. This skill supports precision medicine by providing clinical decision support for genotype-guided medication dosing.

Finding relevant clinical trials requires searching a large registry database. This skill provides a Python interface to query ClinicalTrials.gov API v2 to search trials by condition, drug, location, or sponsor and retrieve detailed study information.

Clinical documentation requires precision and regulatory compliance. This skill provides templates and validation tools for case reports, diagnostic reports, clinical trial documentation, and patient notes following HIPAA, FDA, and ICH-GCP standards.

Clinical researchers need evidence-based documents for drug development and regulatory submissions. This skill creates publication-ready clinical decision support documents with biomarker stratification and GRADE evidence grading.

This skill helps researchers find papers, extract metadata, and generate properly formatted BibTeX entries. It validates existing citations and ensures reference accuracy for scientific writing and publication.

Design and simulate quantum circuits using Google's Cirq framework. This skill provides comprehensive documentation for building quantum circuits, noise modeling, hardware integration, and running experiments on quantum computers and simulators.

Access the ChEMBL database to search compounds by structure and properties. Retrieve bioactivity measurements, find inhibitors, and perform structure-activity relationship studies for drug discovery research.

Researchers need access to large-scale single-cell genomics data for disease research and drug discovery. This skill provides programmatic access to 61 million cells from the CELLxGENE Census, enabling population-scale queries without downloading entire datasets.

Access comprehensive enzyme kinetic data from the worlds largest enzyme database. Find Km values, reaction equations, organism-specific parameters, and substrate specificity data for biochemical research and metabolic engineering.

Query 40+ biological databases including UniProt, KEGG, and ChEMBL with a consistent Python API. Simplifies cross-database analysis and identifier conversion for bioinformatics research.