Skill UI

Guides use of the Adaptyv Bio Foundry API and Python SDK to design protein experiments, submit sequences, automate workflows, and fetch BLI/SPR or thermostability assay results via authenticated requests for lab-ready studies.

Automate Benchling lab data workflows via the Python SDK or REST API: manage registry entities (DNA, proteins), inventory, ELN entries, workflows, and Data Warehouse queries for syncing and analytics.

PyOpenMS provides Python bindings for OpenMS to drive complete mass spectrometry workflows, covering data IO, spectral processing, feature/peptide-protein identification, quantitation, and metabolomics pipelines.

Analyzes protein sequences to locate canonical N-glycosylation sequons, predict O-glycosylation hotspots, and mutate or design glycosylation sites for therapeutic proteins, vaccines, and biosimilar comparisons using curated glycoengineering resources.

Use the Adaptyv Bio Foundry API and Python SDK to design, submit, and retrieve protein experiments, including binding, thermostability, and expression assays via programmatic workflows.

Integrate Benchling's Python SDK and REST v2 API to automate life-science lab data: registry entities (DNA, RNA, proteins), inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries.

Biopython is a comprehensive Python library designed for computational molecular biology. It provides robust tools for handling biological sequences (DNA, RNA, Protein), structural analysis (PDB), sequence alignment, phylogenetic tree construction, and interfacing with major public databases like NCBI (Entrez). Ideal for researchers performing advanced bioinformatics tasks.

Utilizes OpenMed's analyze_text to perform sophisticated Named-Entity Recognition (NER) on clinical and biomedical text. This tool extracts structured entities such as diseases, drugs, anatomy, genes, and proteins. It provides precise character spans and model confidence scores, making it essential for building robust, privacy-first clinical Natural Language Processing (NLP) pipelines.

Search and read biomedical papers, regulatory documents, clinical trials, and protein databases via the Paperclip CLI, with semantic search, SQL, map/reduce, and line-pinned citations.