LSTM_Chem
importedtherapeutics/lstm-chem
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- Unlicense(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/topazape/LSTM_Chem
- Documentation
- unknown
- Tags
- cheminformatics · chemoinformatics · denovo · keras · lstm · machine-learning · python3 · rnn
- 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.
- molecular-VAEcheminformatics · chemoinformatics · denovo · python3
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
- pubchempropscheminformatics · chemoinformatics · python3
A convenient wrapper around PubChem PUG REST API that allows to search for many compound properties available at PubChem with ease
- siriuscheminformatics · denovo
SIRIUS is a software for discovering a landscape of de-novo identification of metabolites using tandem mass spectrometry. This repository contains the code of the SIRIUS Software (GUI and CLI)
- global-chemcheminformatics · chemoinformatics
A Knowledge Graph of Common Chemical Names to their Molecular Definition
- lindemanncheminformatics · chemoinformatics
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
- PIDGINv2cheminformatics · chemoinformatics
PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (LEGACY VERSION)
- api.github.com/repos/topazape/LSTM_Chemretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-12-26, 117 stars, license reported as Unlicense. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/51.json→ .entries["lstm-chem"]
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