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Randomized SMILES strings improve the quality of molecular generative  models | Journal of Cheminformatics | Full Text
Randomized SMILES strings improve the quality of molecular generative models | Journal of Cheminformatics | Full Text

Generative Network Complex for the Automated Generation of Drug-like  Molecules. - Abstract - Europe PMC
Generative Network Complex for the Automated Generation of Drug-like Molecules. - Abstract - Europe PMC

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

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

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

Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine** -  Khokhlov - 2022 - Chemistry–Methods - Wiley Online Library
Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine** - Khokhlov - 2022 - Chemistry–Methods - Wiley Online Library

Tutorial to SMILES and canonical SMILES explained with examples | by  thatbiochemistryguy | Medium
Tutorial to SMILES and canonical SMILES explained with examples | by thatbiochemistryguy | Medium

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

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

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

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

Randomized SMILES strings improve the quality of molecular generative  models | Journal of Cheminformatics | Full Text
Randomized SMILES strings improve the quality of molecular generative models | Journal of Cheminformatics | Full Text

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

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

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

SMILES strings in ChemDraw - YouTube
SMILES strings in ChemDraw - YouTube

Building with SMILES - Avogadro
Building with SMILES - Avogadro

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

Structure-Based de Novo Molecular Generator Combined with Artificial  Intelligence and Docking Simulations | Journal of Chemical Information and  Modeling
Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations | Journal of Chemical Information and Modeling

Deep learning for molecular generation and optimization - a review of the  state of the art – arXiv Vanity
Deep learning for molecular generation and optimization - a review of the state of the art – arXiv Vanity

Building a molecular charge classifier | by Flawnson Tong | Towards Data  Science
Building a molecular charge classifier | by Flawnson Tong | Towards Data Science

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

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

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

SMILES drawing tool
SMILES drawing tool

Structural information for a molecule can be given as a 1D SMILES... |  Download Scientific Diagram
Structural information for a molecule can be given as a 1D SMILES... | Download Scientific Diagram

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

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