alphafold3-complex-docking
importedtherapeutics/alphafold3-complex-docking
Analysis toolkit for AlphaFold3 biomolecular complex predictions (Protein-DNA, Protein-RNA, Protein-Ligand). Parses PAE error matrices, SASA, and interface binding energies.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- alphafold3 · bioinformatics · diffdock · molecular-docking · pdb · protein-dna · protein-rna · python · structural-biology
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- alphafold3-macalphafold3 · bioinformatics · molecular-docking · structural-biology
Run AlphaFold 3 protein structure prediction natively on Apple Silicon Macs (M1/M2/M3/M4). MLX inference, web UI, restraint-guided docking.
- hbatbioinformatics · pdb · structural-biology
HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures https://hbat-web.abhishek-tiwari.com
- ligand-envbioinformatics · pdb · structural-biology
Public repository of the PDBe ligand environment component
- relligbioinformatics · pdb · structural-biology
Identifies relevant ligands in the PDB
- vscode-molstar-litebioinformatics · pdb · structural-biology
Lightweight Mol* 3D molecular viewer for VS Code — thumbnail grid browser + syntax highlighting for 15+ formats
- AFPAPbioinformatics · molecular-docking · pdb
AlphaFold-based Protein Analysis Pipeline
- api.github.com/repos/YuliaNuzhnenko/alphafold3-complex-dockingretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-08, 3 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/40.json→ .entries["alphafold3-complex-docking"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.