dyMEAN
importedtherapeutics/dymean
This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- THUNLP-MT
- Country
- unknown
- Homepage
- arxiv.org/abs/2302.00203
- Repository
- github.com/THUNLP-MT/dyMEAN
- Documentation
- unknown
- Tags
- antibody-design · drug-discovery · generative-ai
- 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.
- MEANantibody-design · drug-discovery · generative-ai
This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
- blatant-whyantibody-design · drug-discovery
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
- boltzgenantibody-design · drug-discovery
BoltzGen: Toward Universal Binder Design
- DiffDock-Pocketdrug-discovery · generative-ai
Implementation of DiffDock-Pocket: Diffusion for Pocket-Level Docking with Side Chain Flexibility
- metisdrug-discovery · generative-ai
Python-based GUI to collect Feedback of Chemist in Molecules
- PepGLADdrug-discovery · generative-ai
Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
- api.github.com/repos/THUNLP-MT/dyMEANretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-02-26, 133 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/35.json→ .entries["dymean"]
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