lrDMS-IRED
importedsoftware/lrdms-ired
Code, data and notebooks for engineering enzymes with ultra-high throughput microfluidics. Please read our accompanying paper for details.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- Hollfelder-Lab
- Country
- unknown
- Homepage
- hollfelder.bioc.cam.ac.uk/
- Repository
- github.com/Hollfelder-Lab/lrDMS-IRED
- Documentation
- unknown
- Tags
- enzyme · enzyme-engineering · machine-learning · microfluidics · protein · protein-engineering
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
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Self-supervised models for encoding protein localization patterns from microscopy images
- diaas-calculator-angularprotein
Angular frontend for the protein DIAAS calculator
- peptacularprotein
A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.
- phage-host-predictionprotein
Published in PLOS ONE. Phage-host interaction prediction tool that uses protein language models to represent the receptor-binding proteins of phages. It presents improvements over using handcrafted…
- api.github.com/repos/Hollfelder-Lab/lrDMS-IREDretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-12-22, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/54.json→ .entries["lrdms-ired"]
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