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SynProtX

imported

therapeutics/synprotx

SynProtX is a deep learning model leveraging large-scale proteomics, molecular graphs, and fingerprints to enhance the prediction of synergistic effects in anti-cancer drug combinations.

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

SynProtX project image
GitHub preview card for manbaritone/SynProtX. 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
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cancer-drug-combination · deep-learning · drug-discovery · graph-neural-networks · machine-learning · multi-omics · personalized-medicine · proteomics · synergistic-effect · systems-pharmacology
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.

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  • BindingAffinitydrug-discovery · graph-neural-networks

    Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.

  • CIGAdrug-discovery · graph-neural-networks

    [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

sources
  1. api.github.com/repos/manbaritone/SynProtX
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-08-13, 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 →

machine-readable

/v1/entries/28.json→ .entries["synprotx"]

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