Integrated in silico formulation design of self-emulsifying drug delivery systems
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This research combined machine learning, central composite design, molecular modeling and experimental approaches for rational SEDDS formulation design, which revealed the diffusion behavior in water and the role of cosurfactants.About:
This article is published in Acta Pharmaceutica Sinica B.The article was published on 2021-05-05 and is currently open access. It has received 22 citations till now.read more
Citations
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Improved oral bioavailability of poorly water-soluble vorinostat by self-microemulsifying drug delivery system
TL;DR: In this article , a self-micro-emulsifying drug delivery system (SMEDDS) was developed to enhance the oral bioavailability of vorinostat, which is a histone deacetylase inhibitor suberoylanilide hydroxamic acid (SAHA) with anticancer properties.
Journal ArticleDOI
Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?
Akbar Hasanzadeh,Michael R. Hamblin,Jafar Kiani,Hamid Noori,Joseph M. Hardie,Mahdi Karimi,Hadi Shafiee +6 more
TL;DR: In this article , the authors discuss the potential of AI-based models and algorithms in the design of targeted gene delivery vehicles capable of crossing extracellular and intracellular barriers by viral mimicry strategies.
Journal ArticleDOI
In silico–assisted development of supersaturable preconcentrated isotropic mixture of atazanavir for augmenting biopharmaceutical performance in the presence of H2-receptor antagonist
Sheshank Sethi,Vikas Rana +1 more
TL;DR: In this paper , a supersaturable preconcentrate isotropic mixture (SP-IM) containing long-chain triglyceride to improve intestinal lymphatic transport and augment oral bioavailability of atazanavir (ATZ) was proposed.
Journal ArticleDOI
Interdisciplinary advances reshape the delivery tools for effective NASH treatment
Linshan Chen,Yibing Wang +1 more
TL;DR: In this paper , the authors focus on dissecting the detailed principles of the latest interdisciplinary advances and concepts that direct the design of future delivery tools to enhance the efficacy of NASH.
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Highly Accessible Computational Prediction and In Vivo/In Vitro Experimental Validation: Novel Synthetic Phenyl Ketone Derivatives as Promising Agents against NAFLD via Modulating Oxidoreductase Activity
Ya-Xian Qiao,Huifang Deng,Lihua Liu,Shu Liu,Luyao Ren,Chuandao Shi,Xi Chen,Lixia Guan,Weiran Liu,Zehua Li,Yunlan Li +10 more
TL;DR: In this article , a presynthesis prediction approach was used to predict the activities of twelve novel compounds prior to actual chemical synthesis, and these compounds were synthesized and confirmed by IR, MS, 1H and 13C NMR.
References
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Proceedings ArticleDOI
XGBoost: A Scalable Tree Boosting System
Tianqi Chen,Carlos Guestrin +1 more
TL;DR: XGBoost as discussed by the authors proposes a sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning to achieve state-of-the-art results on many machine learning challenges.
Proceedings ArticleDOI
XGBoost: A Scalable Tree Boosting System
Tianqi Chen,Carlos Guestrin +1 more
TL;DR: This paper proposes a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning and provides insights on cache access patterns, data compression and sharding to build a scalable tree boosting system called XGBoost.
Proceedings Article
LightGBM: a highly efficient gradient boosting decision tree
TL;DR: It is proved that, since the data instances with larger gradients play a more important role in the computation of information gain, GOSS can obtain quite accurate estimation of the information gain with a much smaller data size, and is called LightGBM.
Journal ArticleDOI
Lipids and lipid-based formulations: optimizing the oral delivery of lipophilic drugs
TL;DR: The mechanisms by which lipids and lipidic excipients affect the oral absorption of lipophilic drugs are detailed and a perspective on the possible future applications of lipid-based delivery systems is provided.
Journal ArticleDOI
Self-emulsifying drug delivery systems (SEDDS) for improved oral delivery of lipophilic drugs.
R. Neslihan Gürsoy,Simon Benita +1 more
TL;DR: Self-emulsifying drug delivery systems (SEDDS), which are isotropic mixtures of oils, surfactants, solvents and co-solvents/surfactants, can be used for the design of formulations in order to improve the oral absorption of highly lipophilic drug compounds as discussed by the authors.