A self-attention based message passing neural network for predicting molecular lipophilicity and aqueous solubility
出版年份 2020 全文链接
标题
A self-attention based message passing neural network for predicting molecular lipophilicity and aqueous solubility
作者
关键词
-
出版物
Journal of Cheminformatics
Volume 12, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-02-21
DOI
10.1186/s13321-020-0414-z
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- DeepChemStable: Chemical Stability Prediction with an Attention-Based Graph Convolution Network
- (2019) Xiuming Li et al. Journal of Chemical Information and Modeling
- Chemi-Net: A Molecular Graph Convolutional Network for Accurate Drug Property Prediction
- (2019) Ke Liu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Analyzing Learned Molecular Representations for Property Prediction
- (2019) Kevin Yang et al. Journal of Chemical Information and Modeling
- Molecule Property Prediction Based on Spatial Graph Embedding
- (2019) Xiaofeng Wang et al. Journal of Chemical Information and Modeling
- The rise of deep learning in drug discovery
- (2018) Hongming Chen et al. DRUG DISCOVERY TODAY
- MoleculeNet: a benchmark for molecular machine learning
- (2018) Zhenqin Wu et al. Chemical Science
- Interpretation of Quantitative Structure–Activity Relationship Models: Past, Present, and Future
- (2017) Pavel Polishchuk Journal of Chemical Information and Modeling
- Molecular de-novo design through deep reinforcement learning
- (2017) Marcus Olivecrona et al. Journal of Cheminformatics
- Molecular graph convolutions: moving beyond fingerprints
- (2016) Steven Kearnes et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach
- (2016) Rafael Gómez-Bombarelli et al. NATURE MATERIALS
- Machine Learning Strategy for Accelerated Design of Polymer Dielectrics
- (2016) Arun Mannodi-Kanakkithodi et al. Scientific Reports
- Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure–Activity Relationship (QSAR) Models
- (2015) Zheng Shao et al. Journal of Chemical Information and Modeling
- Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
- (2015) Junshui Ma et al. Journal of Chemical Information and Modeling
- Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space
- (2015) Katja Hansen et al. Journal of Physical Chemistry Letters
- QSAR Modeling: Where Have You Been? Where Are You Going To?
- (2013) Artem Cherkasov et al. JOURNAL OF MEDICINAL CHEMISTRY
- Open-source platform to benchmark fingerprints for ligand-based virtual screening
- (2013) Sereina Riniker et al. Journal of Cheminformatics
- Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties
- (2012) Tu Le et al. CHEMICAL REVIEWS
- The influence of lipophilicity in drug discovery and design
- (2012) John A Arnott et al. Expert Opinion on Drug Discovery
- Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information
- (2011) Iurii Sushko et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now