Molecular Generative Model Based on Conditional Variational Autoencoder for De Novo Molecular Design

Journal of Cheminformatics - United Kingdom
doi 10.1186/s13321-018-0286-7
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A De Novo Molecular Generation Method Using Latent Vector Based Generative Adversarial Network

2019English

Generative Models for Artificially-Intelligent Molecular Design

Molecular Informatics
Organic ChemistryDrug DiscoveryComputer Science ApplicationsMolecular MedicineStructural Biology
2018English

Electrocardiogram Recognization Based on Variational AutoEncoder

2018English

NeVAE: A Deep Generative Model for Molecular Graphs

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Molecular De-Novo Design Through Deep Reinforcement Learning

Journal of Cheminformatics
Computer GraphicsInformation SciencesLibraryTheoretical ChemistryComputer Science ApplicationsComputer-Aided DesignPhysical
2017English

Predicting Head Pose From Speech With a Conditional Variational Autoencoder

2017English

Spatial Attention Gated Variational Autoencoder Enhanced Cycle-Consistent Generative Adversarial Networks for MRI to CT Translation

International Journal of Radiation Oncology Biology Physics
OncologyRadiologyCancer ResearchRadiationNuclear MedicineImaging
2019English

Autoencoder-Based Detection of Dynamic Allostery Triggered by Ligand Binding Based on Molecular Dynamics

English

De Novo Design of Molecular Wires With Optimal Properties for Solar Energy Conversion

Journal of Cheminformatics
Computer GraphicsInformation SciencesLibraryTheoretical ChemistryComputer Science ApplicationsComputer-Aided DesignPhysical
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy