Application of the artificial neural network to optimize the formulation of self-nanoemulsifying drug delivery system containing rosuvastatin

Vu, Thi Thu Giang; Thi, Phan Nghia; Thi, Nguyen Huyen; Canh, Nguyen Hung; Hai, Tran Yen Thi; Bao, Pham Tung; Tran, Nguyen Linh; Dang, Nguyen Hoa

doi:10.7324/japs.2020.10901

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…In addition to these formulation techniques, researchers have applied AI methods to beads and pellets [67][68][69][70][71], microparticles and nanoparticles [72][73][74][75][76][77][78][79][80][81][82][83][84][85], microspheres and nanospheres [86][87][88], liposomes and nanoliposomes [89], colloidal systems [90], micelles [91,92], and liquid, solid dosage forms [93].…”

Section: Other Formulation Techniquesmentioning

confidence: 99%

Influence of artificial intelligence in modern pharmaceutical formulation and drug development

Ali,

Mohin,

Mondal

et al. 2024

Futur J Pharm Sci

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Background Artificial intelligence (AI) revolutionized the formulation and development of modern pharmaceuticals. With the help of AI, researchers can now optimize drug design, develop formulations, and streamline clinical trials in a much accurate and efficient way. Drug development might be greatly expedited and time-consuming procedure; however, with the help of AI this are significantly reduced. Main body of abstract The main advantages of AI in pharmaceutical formulation are its capacity to analyse vast amounts of data and spot patterns and connections that human researchers would miss. Various tools and technologies, such as ANN, fuzzy logic, neuro-fuzzy logic, and genetic algorithm are used for analysing the date, of which ANN is popular and mostly used. AI enables the discovery of novel pharmacological targets and the creation of more potent medications. AI may also be used to improve medication formulations by forecasting the solubility, stability, and bioavailability of drug candidates, increasing the likelihood that clinical trials will be successful. AI is also applied in designing clinical trials, reducing the time and cost of the process by identifying patient populations that are most likely to benefit from the treatment. Additionally, AI can monitor patients during clinical trials, detecting real-time adverse effects and adjusting dosages to improve patient outcomes. Conclusion AI is a potent pharmaceutical formulation and development tool, allowing researchers to analyse vast amounts of data, optimize drug formulations, and streamline clinical trials. As technology develops, experts anticipate that AI will increasingly show a crucial part in drug development, enabling faster, more efficient, and more effective treatments for various diseases.

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Section: Other Formulation Techniquesmentioning

confidence: 99%

Influence of artificial intelligence in modern pharmaceutical formulation and drug development

Ali,

Mohin,

Mondal

et al. 2024

Futur J Pharm Sci

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“…Những mẫu không tách lớp được pha loãng thích hợp, đo kích thước giọt (KTG) pha phân tán và phân bố kích thước giọt (PDI). Lựa chọn những điểm có kết quả KTG < 500 nm và PDI < 0,5 để xây dựng giản đồ pha xác định vùng hình thành nhũ tương [6].…”

Section: Phương Pháp Nghiên Cứu 231 Phương Pháp Bào Chếunclassified

Research on the Preparation of Self-nano-emulsifying Drug Delivery System Containing Gynostemma pentaphyllum Dry Extract for Application in Skin Care Cosmetics

Giang¹,

Hanh²,

Lâm³

2023

MPS

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Gynostemma pentaphyllum (Thunb.) Makino is a rich source of the herb in Vietnam. The gypenosides in this herb are triterpenoid saponins that have been shown to have moisturizing, antioxidant, and anti-aging effects on the skin. However, gypenosides are hydrophilic and have a large molecular weight with a bulk molecular structure which prevents them from penetrating and absorbing into the skin. To apply the natural active ingredients from herbs into skin care cosmetics, this research developed self-nano-emulsifying drug delivery systems (SNEDDS) containing Gynostemma pentaphyllum dry extract and applied them to emulgel skin care cosmetics. Prepared SNEDDS could self-emulsify in the water to form nanoemulsions with dispersed droplet sizes less than 20 nm with PDI < 0.3. The proportion of saponin entrapped in the oil droplets of nano emulsification was more than 90%. When combined with emulgel excipients, the obtained cosmetic products had nano-sized dispersed droplets less than 200 nm with uniform droplet size distribution, which are promising for application when further research is carried out. Keywords: Self-nano-emulsifying Drug Delivery System (SNEDDS), Gymnostemma pentaphyllum dry extract, cosmetic, emulgel, nano-emulsion.

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“…To improve their therapeutic benefits, numerous nanotechnology-based drug delivery systems were developed [ 25 , 26 , 27 , 28 ]. The enhancement of statins’ pharmacological parameters can be achieved by using nano-sized systems and functional nanomaterials, including nanoparticles [ 25 , 27 , 29 ], nanoliposomes [ 9 ], nanocrystals [ 30 ] as well as self-nanoemulsifying systems [ 31 , 32 ]. Due to the wide spectrum of potential benefits of statins, research efforts should also focus on the identification of new targets and deeper understanding of the underlying mechanisms of statin pleiotropy.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Interactions of Statins with Human Adenylate Kinase Isoenzyme 1: Fluorescence and Enzyme Kinetic Studies

Wujak

Kozakiewicz

Ciarkowska

et al. 2021

IJMS

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Statins are the most effective cholesterol-lowering drugs. They also exert many pleiotropic effects, including anti-cancer and cardio- and neuro-protective. Numerous nano-sized drug delivery systems were developed to enhance the therapeutic potential of statins. Studies on possible interactions between statins and human proteins could provide a deeper insight into the pleiotropic and adverse effects of these drugs. Adenylate kinase (AK) was found to regulate HDL endocytosis, cellular metabolism, cardiovascular function and neurodegeneration. In this work, we investigated interactions between human adenylate kinase isoenzyme 1 (hAK1) and atorvastatin (AVS), fluvastatin (FVS), pravastatin (PVS), rosuvastatin (RVS) and simvastatin (SVS) with fluorescence spectroscopy. The tested statins quenched the intrinsic fluorescence of hAK1 by creating stable hAK1-statin complexes with the binding constants of the order of 104 M−1. The enzyme kinetic studies revealed that statins inhibited hAK1 with significantly different efficiencies, in a noncompetitive manner. Simvastatin inhibited hAK1 with the highest yield comparable to that reported for diadenosine pentaphosphate, the only known hAK1 inhibitor. The determined AK sensitivity to statins differed markedly between short and long type AKs, suggesting an essential role of the LID domain in the AK inhibition. Our studies might open new horizons for the development of new modulators of short type AKs.

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Application of the artificial neural network to optimize the formulation of self-nanoemulsifying drug delivery system containing rosuvastatin

Cited by 7 publications

References 27 publications

Influence of artificial intelligence in modern pharmaceutical formulation and drug development

Influence of artificial intelligence in modern pharmaceutical formulation and drug development

Research on the Preparation of Self-nano-emulsifying Drug Delivery System Containing Gynostemma pentaphyllum Dry Extract for Application in Skin Care Cosmetics

Assessing the Interactions of Statins with Human Adenylate Kinase Isoenzyme 1: Fluorescence and Enzyme Kinetic Studies

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