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Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms

Journal of cheminformatics, 2021-12, Vol.13 (1), p.98-98, Article 98

2021

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In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques

Carbohydrate polymers, 2022-01, Vol.275, p.118712-118712, Article 118712

2022

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Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques

Acta pharmaceutica Sinica. B, 2019-11, Vol.9 (6), p.1241-1252

2019

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Deep learning for in vitro prediction of pharmaceutical formulations

Acta pharmaceutica Sinica. B, 2019-01, Vol.9 (1), p.177-185

2019

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Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm

Acta pharmaceutica Sinica. B, 2022-06, Vol.12 (6), p.2950-2962

2022

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Organic crystal structure prediction via coupled generative adversarial networks and graph convolutional networks

Innovation (New York, NY), 2024-03, Vol.5 (2), p.100562-100562, Article 100562

2024

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Interpretable machine learning methods for in vitro pharmaceutical formulation development

Food frontiers, 2021-06, Vol.2 (2), p.195-207

2021

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Predicting liposome formulations by the integrated machine learning and molecular modeling approaches

Asian journal of pharmceutical sciences, 2023-05, Vol.18 (3), p.100811-100811, Article 100811

2023

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Quantitative Analysis for Chinese and US-listed Pharmaceutical Companies by the LightGBM Algorithm

Current computer-aided drug design, 2023-01, Vol.19 (6), p.405-415

2023

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Computational pharmaceutics - A new paradigm of drug delivery

Journal of controlled release, 2021-10, Vol.338, p.119-136

2021

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An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design

European journal of pharmaceutics and biopharmaceutics, 2021-01, Vol.158, p.336-346

2021

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An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction

Molecular pharmaceutics, 2019-02, Vol.16 (2), p.533-541

2019

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Predicting physical stability of solid dispersions by machine learning techniques

Journal of controlled release, 2019-10, Vol.311-312, p.16-25

2019

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Can machine learning predict drug nanocrystals?

Journal of controlled release, 2020-06, Vol.322, p.274-285

2020

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How can machine learning and multiscale modeling benefit ocular drug development?

Advanced drug delivery reviews, 2023-05, Vol.196, p.114772-114772, Article 114772

2023

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Predicting drug/phospholipid complexation by the lightGBM method

Chemical physics letters, 2020-05, Vol.747, p.137354, Article 137354

2020

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Application of Advanced Machine Learning Algorithms in Drug Delivery

Ye, Zhuyifan

2022

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Development of in silico methodology for siRNA lipid nanoparticle formulations

Chemical engineering journal (Lausanne, Switzerland : 1996), 2022-08, Vol.442, p.136310, Article 136310

2022

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Machine learning in accelerating microsphere formulation development

Drug delivery and translational research, 2023-04, Vol.13 (4), p.966-982

2023

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Opportunities and Challenges of Artificial Intelligence (AI) in Drug Delivery

Exploring Computational Pharmaceutics, 2024

Ouyang, Defang

2024

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多价阳离子脂质体介导重组基因pCKM—mPTH治疗甲状旁腺功能低下症的实验研究

Zhong hua yi xue za zhi, 2006, Vol.86 (12), p.837-840

朱易凡叶洁莲王深明

2006

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Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms

In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques

Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques

Deep learning for in vitro prediction of pharmaceutical formulations

Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm

Organic crystal structure prediction via coupled generative adversarial networks and graph convolutional networks

Interpretable machine learning methods for in vitro pharmaceutical formulation development

Predicting liposome formulations by the integrated machine learning and molecular modeling approaches

Quantitative Analysis for Chinese and US-listed Pharmaceutical Companies by the LightGBM Algorithm

Computational pharmaceutics - A new paradigm of drug delivery

An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design

An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction

Predicting physical stability of solid dispersions by machine learning techniques

Can machine learning predict drug nanocrystals?

How can machine learning and multiscale modeling benefit ocular drug development?

Predicting drug/phospholipid complexation by the lightGBM method

Application of Advanced Machine Learning Algorithms in Drug Delivery

Development of in silico methodology for siRNA lipid nanoparticle formulations

Machine learning in accelerating microsphere formulation development

Opportunities and Challenges of Artificial Intelligence (AI) in Drug Delivery

多价阳离子脂质体介导重组基因pCKM—mPTH治疗甲状旁腺功能低下症的实验研究

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