druggpt
importedtherapeutics/druggpt
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/LIYUESEN/druggpt
- Documentation
- unknown
- Tags
- drug-design · drug-discovery · gpt · huggingface · large-language-models
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MDArenadrug-design · drug-discovery · large-language-models
MDArena is an open benchmark for evaluating AI agents on molecular dynamics (MD) workflows.
- cMolGPTdrug-discovery · gpt
GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets
- ReportQLhuggingface · large-language-models
Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
- DrugReasonerdrug-discovery · large-language-models
Predicting drug approval with reasoning.
- LMLFStardrug-discovery · large-language-models
Generating target-specific novel lead molecules using an LLM
- Academiadrug-design · drug-discovery
Este repositorio debe ser el punto de partida y encuentro para cualquier investigador o estudiante que quiera comenzar a trabajar con/en la UIBCDF. Si has caído aquí por otro motivo y este material…
- api.github.com/repos/LIYUESEN/druggptretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-02-18, 126 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/36.json→ .entries["druggpt"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.