Successful stories of drug repurposing for cancer therapy in hepatocellular carcinoma

Attia, Yasmeen M.; Ewida, Heba A.; Ahmed, Mahmoud S.

doi:10.1016/b978-0-12-819668-7.00008-7

Cited by 6 publications

(3 citation statements)

References 86 publications

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“…Drug repositioning represents an excellent opportunity to offer more pharmaceutical candidates to the patient with established postmarketing surveillance safety data, toxicity, and pharmacokinetics profile. Repurpose drugs that have already been approved by the regulatory authorities, would speed up the process of actually translating these molecules to the clinic (Attia et al 2020). AI has huge potential to enhance and accelerate drug discovery in more than one direction.…”

Section: Drug Repurposing (Repositioning) Through Artificial Intellig...mentioning

confidence: 99%

“…Rapidly developing, powerful, and innovative AI and network medicine technologies can give a push to therapeutic development (Attia et al 2020). Recently, scientists successfully trained a group of ML algorithms to rank clinically relevant cancer drug based on the drugs predicted efficacy in reducing cancer cell growth.…”

Section: Examples Of the Clinical Significance Of Artificial Intellig...mentioning

confidence: 99%

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The potential applications of artificial intelligence in drug discovery and development

Farghali¹,

Canová²,

Arora³

2021

Physiol Res

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Development of a new dug is a very lengthy and highly expensive process since only preclinical, pharmacokinetic, pharmacodynamic and toxicological studies include a multiple of in silico, in vitro, in vivo experimentations that traditionally last several years. In the present review, we briefly report some examples that demonstrate the power of the computer-assisted drug discovery process with some examples that are published and revealing the successful applications of artificial intelligence (AI) technology on this vivid area. Besides, we address the situation of drug repositioning (repurposing) in clinical applications. Yet few success stories in this regard that provide us with a clear evidence that AI will reveal its great potential in accelerating effective new drug finding. AI accelerates drug repurposing and AI approaches are altogether necessary and inevitable tools in new medicine development. In spite of the fact that AI in drug development is still in its infancy, the advancements in AI and machine-learning (ML) algorithms have an unprecedented potential. The AI/ML solutions driven by pharmaceutical scientists, computer scientists, statisticians, physicians and others are increasingly working together in the processes of drug development and are adopting AI-based technologies for the rapid discovery of medicines. AI approaches, coupled with big data, are expected to substantially improve the effectiveness of drug repurposing and finding new drugs for various complex human diseases.

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Section: Drug Repurposing (Repositioning) Through Artificial Intellig...mentioning

confidence: 99%

Section: Examples Of the Clinical Significance Of Artificial Intellig...mentioning

confidence: 99%

The potential applications of artificial intelligence in drug discovery and development

Farghali¹,

Canová²,

Arora³

2021

Physiol Res

View full text Add to dashboard Cite

show abstract

“…No entanto, a resistência ao sorafenibe tem sido recentemente relatada comprometendo seus resultados clínicos benéficos (Attia et al, 2020), porém, o mecanismo desse evento ainda é desconhecido (Fan et al, 2020). Portanto, há uma necessidade urgente de explorar o mecanismo de resistência do sorafenibe e encontrar tratamentos mais eficazes para aumentar a sensibilidade das células de hepatocarcinoma ao fármaco.…”

Section: Introductionunclassified