Pulse nav.journalClub Aktive Debatten Trends Entdecken Forschende

Download the App

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

© Synapse Social LLC, 2026

Start Entdecken nav.journalClub Trends

⌘+K

Deep learning for molecular design—a review of the state of the art | Synapse

January 1, 2019Open Access

Deep learning for molecular design—a review of the state of the art

Key Points

Key points are not available for this paper at this time.

Abstract

We review a recent groundswell of work which uses deep learning techniques to generate and optimize molecules.

Like

Bookmark

Share

View Full Paper

Cite This Study

Elton et al. (Tue,) studied this question.

synapsesocial.com/papers/69ff1ad46018b8d0892d6c84 https://doi.org/https://doi.org/10.1039/c9me00039a

Like

Bookmark

Share

View Full Paper

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

1De Novo Generation of Hit-like Molecules from Gene Expression Signatures Using Artificial Intelligence2018 · 6 citations
2Long Short-Term Memory1997 · 98,156 citations
3Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery2018 · 283 citations
4Multi-objective de novo drug design with conditional graph generative model2018 · 424 citations