PADME
importedtherapeutics/padme
This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep learning.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/simonfqy/PADME
- Documentation
- unknown
- Tags
- cheminformatics · convolutional-neural-networks · deep-learning
- 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.
- geo-gcncheminformatics · convolutional-neural-networks
The official implementation of the SGCN architecture.
- gninacheminformatics · convolutional-neural-networks
A deep learning framework for molecular docking
- bachelor-thesisconvolutional-neural-networks
LaTeX Bachelor's Thesis
- AccFGcheminformatics
[JCIM'25] AccFG: Functional Group Extraction and Molecular Structure Comparison
- aizynthfindercheminformatics
A tool for retrosynthetic planning
- AMPLcheminformatics
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.
- api.github.com/repos/simonfqy/PADMEretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2019-06-18, 43 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 →
/v1/entries/32.json→ .entries["padme"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.