openmedical/registry
← registry

allmetal3d

imported

therapeutics/allmetal3d

Metal and Water prediction

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
lcbc-epfl
Country
unknown
Documentation
unknown
Tags
bioinformatics · molecular-docking · protein · protein-structure
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • AFPAPbioinformatics · molecular-docking · protein

    AlphaFold-based Protein Analysis Pipeline

  • ColabFoldbioinformatics · protein-structure

    Making Protein folding accessible to all!

  • foldseekbioinformatics · protein-structure

    Foldseek enables fast and sensitive comparisons of large structure sets.

  • musclebioinformatics · protein-structure

    Multiple sequence and structure alignment with top benchmark scores scalable to thousands of sequences. Generates replicate alignments, enabling assessment of downstream analyses such as trees and…

  • plipbioinformatics · protein-structure

    Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 📝 Schake, Bolz, et al. (2025), https://doi.org/10.1093/nar/gkaf361

  • Bentobioinformatics · molecular-docking

    UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.

sources
  1. api.github.com/repos/lcbc-epfl/allmetal3d
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-02-05, 15 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 →

machine-readable

/v1/entries/24.json→ .entries["allmetal3d"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.