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  1. Home
  2. /Repositories
  3. /Acellera/moleculekit
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repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 21h ago

Acellera/moleculekit

MoleculeKit: Your favorite molecule manipulation kit

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 52%Efficient and valid large molecule generation via self-supervised generative models - Nature →
  • PossiblePossibly related (embedding) · 49%SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles →
  • PossiblePossibly related (embedding) · 46%How a Google DeepMind Spin-off Hunts Hidden Drug Targets →

Covers

newsEfficient and valid large molecule generation via self-supervised generative models - NaturenewsHow a Google DeepMind Spin-off Hunts Hidden Drug Targets

Implements

paperSynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles

Related across the graph

paperSynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore ProfilesnewsHow a Google DeepMind Spin-off Hunts Hidden Drug TargetsnewsEfficient and valid large molecule generation via self-supervised generative models - Nature
Knowledge path·PSynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles→NHow a Google DeepMind Spin-off Hunts Hidden Drug Targets→NEfficient and valid large molecule generation via self-supervised generative models - Nature→RAcellera/moleculekit

Topics

drug-discoverymachine-learningmolecular-modelingmolecular-simulationmoleculeproteins

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score237