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GEOM, energy-annotated molecular conformations for property prediction and  molecular generation | Scientific Data
GEOM, energy-annotated molecular conformations for property prediction and molecular generation | Scientific Data

RNN-based methods for SMILES string generation. SMILES generation... |  Download Scientific Diagram
RNN-based methods for SMILES string generation. SMILES generation... | Download Scientific Diagram

Generative Chemical Transformer: Neural Machine Learning of Molecular  Geometric Structures from Chemical Language via Attention
Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention

RNN-based methods for SMILES string generation. SMILES generation... |  Download Scientific Diagram
RNN-based methods for SMILES string generation. SMILES generation... | Download Scientific Diagram

Master your molecule generator: Seq2seq RNN models with SMILES in Keras |  Cheminformania
Master your molecule generator: Seq2seq RNN models with SMILES in Keras | Cheminformania

Towards a Universal SMILES representation - A standard method to generate  canonical SMILES based on the InChI | Journal of Cheminformatics | Full Text
Towards a Universal SMILES representation - A standard method to generate canonical SMILES based on the InChI | Journal of Cheminformatics | Full Text

Getting Started with the RDKit in Python — The RDKit 2022.03.1 documentation
Getting Started with the RDKit in Python — The RDKit 2022.03.1 documentation

Deep learning for molecular generation | Future Medicinal Chemistry
Deep learning for molecular generation | Future Medicinal Chemistry

Bidirectional Molecule Generation with Recurrent Neural Networks | Journal  of Chemical Information and Modeling
Bidirectional Molecule Generation with Recurrent Neural Networks | Journal of Chemical Information and Modeling

Molecular generation by Fast Assembly of (Deep)SMILES fragments | Journal  of Cheminformatics | Full Text
Molecular generation by Fast Assembly of (Deep)SMILES fragments | Journal of Cheminformatics | Full Text

Deep learning for molecular generation | Future Medicinal Chemistry
Deep learning for molecular generation | Future Medicinal Chemistry

SMILES drawing tool
SMILES drawing tool

GEN: highly efficient SMILES explorer using autodidactic generative  examination networks | Journal of Cheminformatics | Full Text
GEN: highly efficient SMILES explorer using autodidactic generative examination networks | Journal of Cheminformatics | Full Text

Cells | Free Full-Text | Artificial Intelligent Deep Learning Molecular  Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific  Small-Molecule Sublibraries | HTML
Cells | Free Full-Text | Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries | HTML

Deep reinforcement learning for de novo drug design
Deep reinforcement learning for de novo drug design

Direct steering of de novo molecular generation with descriptor conditional  recurrent neural networks | Nature Machine Intelligence
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks | Nature Machine Intelligence

SMILES-enumeration/README.md at master · EBjerrum/SMILES-enumeration ·  GitHub
SMILES-enumeration/README.md at master · EBjerrum/SMILES-enumeration · GitHub

The LSTM used to generate SMILES strings. The character “G” is inputted...  | Download Scientific Diagram
The LSTM used to generate SMILES strings. The character “G” is inputted... | Download Scientific Diagram

Inverse‐QSPR for de novo Design: A Review - Gantzer - 2020 - Molecular  Informatics - Wiley Online Library
Inverse‐QSPR for de novo Design: A Review - Gantzer - 2020 - Molecular Informatics - Wiley Online Library

Research Progress on New Organic Molecules Design via Machine Learning
Research Progress on New Organic Molecules Design via Machine Learning

Building with SMILES - Avogadro
Building with SMILES - Avogadro

SMILES-based deep generative scaffold decorator for de-novo drug design |  Journal of Cheminformatics | Full Text
SMILES-based deep generative scaffold decorator for de-novo drug design | Journal of Cheminformatics | Full Text

A de novo molecular generation method using latent vector based generative  adversarial network. - Abstract - Europe PMC
A de novo molecular generation method using latent vector based generative adversarial network. - Abstract - Europe PMC

Simplified molecular-input line-entry system - Wikipedia
Simplified molecular-input line-entry system - Wikipedia

GitHub - jsmith13/smiles-generator: Generation of SMILES strings from  molecular structures.
GitHub - jsmith13/smiles-generator: Generation of SMILES strings from molecular structures.

How to generate a 3D molecular structure from a SMILES string​ ​- The  Cambridge Crystallographic Data Centre (CCDC)
How to generate a 3D molecular structure from a SMILES string​ ​- The Cambridge Crystallographic Data Centre (CCDC)

Simplified Molecular Input Line Entry System (SMILES) - MAPLE
Simplified Molecular Input Line Entry System (SMILES) - MAPLE