alphafoldfetch
importedsoftware/alphafoldfetch
CLI for downloading AlphaFold structures using UniProt IDs or FASTA files
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/mansanlab/alphafoldfetch
- Documentation
- unknown
- Tags
- ai · alphafold · bioinformatics · computational-biology · ml · proteomics
- 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.
- protspacealphafold · bioinformatics · computational-biology
Explore protein language model embeddings in your browser — surface relationships sequence similarity misses, overlay annotations, and transfer labels (EAT). Nothing uploaded.
- PHIStructalphafold · bioinformatics
Published in Bioinformatics. Phage-host interaction prediction tool that incorporates protein structure information in representing receptor-binding proteins (RBPs). It improves performance…
- PyFeatbioinformatics · computational-biology · proteomics
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
- PyFeat-2.xbioinformatics · computational-biology · proteomics
Biological Feature Representation Tool form the Sequences
- redunbioinformatics · ml
Yet another redundant workflow engine
- ggetalphafold
🧬 gget enables efficient querying of genomic reference databases
- api.github.com/repos/mansanlab/alphafoldfetchretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-11, 12 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/0.json→ .entries["alphafoldfetch"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.