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LMLFStar

imported

therapeutics/lmlfstar

Generating target-specific novel lead molecules using an LLM

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

LMLFStar project image
GitHub preview card for tirtharajdash/LMLFStar. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
doi.org/10.48550/arXiv.2510.23379
Repository
github.com/tirtharajdash/LMLFStar
Documentation
unknown
Tags
drug-discovery · large-language-models · llm · molecule-generation · neurosymbolic-ai
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.

  • BBARdrug-discovery · molecule-generation

    Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)

  • BInDdrug-discovery · molecule-generation

    Official implementation of "BInD: Bond and Interaction-Generating Diffusion Model for Multi-Objective Structure-Based Drug Design" (Advanced Science)

  • GeoLDMdrug-discovery · molecule-generation

    Geometric Latent Diffusion Models for 3D Molecule Generation

  • MolCRAFTdrug-discovery · molecule-generation

    Official repository for MolCRAFT series

  • paccmann_chemistrydrug-discovery · molecule-generation

    Generative models of chemical data for PaccMann^RL

  • paccmann_generatordrug-discovery · molecule-generation

    Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

sources
  1. api.github.com/repos/tirtharajdash/LMLFStar
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-08, 4 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/60.json→ .entries["lmlfstar"]

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