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MULTICOM_ligand

imported

therapeutics/multicom-ligand

Comprehensive ensembling of protein-ligand structure and affinity prediction methods (CASP16)

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

MULTICOM_ligand project image
GitHub preview card for BioinfoMachineLearning/MULTICOM_ligand. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
BioinfoMachineLearning
Country
unknown
Homepage
unknown
Repository
github.com/BioinfoMachineLearning/MULTICOM_ligand
Documentation
unknown
Tags
binding-affinity · deep-learning · diffusion-model · drug-discovery · flow-matching · pose-prediction · protein-ligand-interactions
Regulatory
unknown
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.

  • CompassDockbinding-affinity · drug-discovery · protein-ligand-interactions

    Official Implementation of CompassDock

  • hybridock-pepbinding-affinity · diffusion-model · drug-discovery

    Hybrid peptide docking: RAPiDock diffusion sampling + physics-based rescoring (iGEM 2026)

  • FlowMoldrug-discovery · flow-matching

    Mixed continous/categorical flow-matching model for de novo molecule generation.

  • hbatdrug-discovery · protein-ligand-interactions

    HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures https://hbat-web.abhishek-tiwari.com

  • kaggle_leash_belkadrug-discovery · protein-ligand-interactions

    11th place solution of NeurIPS 2024 - Predict New Medicines with BELKA competition on Kaggle: https://www.kaggle.com/competitions/leash-BELKA

  • rxdockdrug-discovery · protein-ligand-interactions

    RxDock is a fork of rDock. Note: the latest code is under development. Please do git checkout patched-rdock after clone if you want patched rDock. [IMPORTANT NOTE: pull requests should be posted on…

sources
  1. api.github.com/repos/BioinfoMachineLearning/MULTICOM_ligand
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-01-06, 8 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/43.json→ .entries["multicom-ligand"]

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