Prodrugs as empowering tools in drug discovery and development: recent strategic applications of drug delivery solutions to mitigate challenges associated with lead compounds and drug candidates DOI
Murugaiah A. M. Subbaiah, Jarkko Rautio, Nicholas A. Meanwell

и другие.

Chemical Society Reviews, Год журнала: 2024, Номер 53(4), С. 2099 - 2210

Опубликована: Янв. 1, 2024

Recent tactical applications of prodrugs as effective tools in drug discovery and development to resolve issues associated with delivery lead candidates are reviewed a reflection the approval 53 during 2012–2022.

Язык: Английский

Omaveloxolone: a groundbreaking milestone as the first FDA-approved drug for Friedreich ataxia DOI Open Access
Federica Pilotto,

Deepika M. Chellapandi,

Hélène Puccio

и другие.

Trends in Molecular Medicine, Год журнала: 2024, Номер 30(2), С. 117 - 125

Опубликована: Янв. 24, 2024

Язык: Английский

Процитировано

32

Regulation of immunomodulatory networks by Nrf2-activation in immune cells: Redox control and therapeutic potential in inflammatory diseases DOI Creative Commons
Tarun Pant, Nnamdi Uche, Matea Juric

и другие.

Redox Biology, Год журнала: 2024, Номер 70, С. 103077 - 103077

Опубликована: Фев. 11, 2024

Inflammatory diseases present a serious health challenge due to their widespread prevalence and the severe impact on patients' lives. In quest alleviate burden of these diseases, nuclear factor erythroid 2-related 2 (Nrf2) has emerged as pivotal player. As transcription intimately involved in cellular defense against metabolic oxidative stress, Nrf2's role modulating inflammatory responses immune cells garnered significant attention. Recent findings suggest that ability alter redox status underlies its regulatory effects responses. Our review delves into preclinical clinical evidence underscores complex influence Nrf2 activators cell phenotypes, particularly milieu. By offering detailed analysis different populations, we cast light potential shaping response towards more regulated state, mitigating adverse inflammation through modeling cells. Furthermore, explore innovative use nanoencapsulation techniques enhance delivery efficacy activators, potentially advancing treatment strategies for ailments. We hope this will stimulate development expansion Nrf2-targeted treatments could substantially improve outcomes patients suffering from broad range diseases.

Язык: Английский

Процитировано

30

Role of Artificial Intelligence in Revolutionizing Drug Discovery DOI Creative Commons
Ashfaq Ur Rehman, Mingyu Li,

Binjian Wu

и другие.

Fundamental Research, Год журнала: 2024, Номер unknown

Опубликована: Май 1, 2024

The application of artificial intelligence (AI) in medicine, particularly through machine learning (ML), marked a significant progression drug discovery. AI acts as powerful catalyst narrowing the gap between disease understanding and identification potential therapeutic agents. This review provides an inclusive summary latest advancements its We examine various stages discovery process, starting from encompassing diagnosis, target identification, screening, lead AI's capability to analyze extensive datasets discern patterns is essential these stages, enhancing predictions efficiencies discovery, clinical trial management. role expediting development emphasized, highlighting vast data volumes, thus reducing time costs associated with new market introduction. importance quality, algorithm training, ethical considerations, especially patient handling during trials, addressed. By considering factors, promises transform development, offering benefits patients society.

Язык: Английский

Процитировано

28

Review of AlphaFold 3: Transformative Advances in Drug Design and Therapeutics DOI Open Access
Dev Desai,

Shiv V Kantliwala,

Jyothi Vybhavi

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Июль 2, 2024

Google DeepMind Technologies Limited (London, United Kingdom) recently released its new version of the biomolecular structure predictor artificial intelligence (AI) model named AlphaFold 3. Superior in accuracy and more powerful than predecessor 2, this innovation has astonished world with capacity speed. It takes humans years to determine various proteins how shape works receptors but 3 predicts same seconds. The version's utility is unimaginable field drug discoveries, vaccines, enzymatic processes, determining rate effect different biological processes. uses similar machine learning deep models such as Gemini (Google Limited). already established itself a turning point computational biochemistry development along receptor modulation development. With help this, researchers will gain unparalleled insights into structural dynamics their interactions, opening up avenues for scientists doctors exploit benefit patient. integration AI like 3, bolstered by rigorous validation against high-standard research publications, set catalyze further innovations offer glimpse future biomedicine.

Язык: Английский

Процитировано

28

Prodrugs as empowering tools in drug discovery and development: recent strategic applications of drug delivery solutions to mitigate challenges associated with lead compounds and drug candidates DOI
Murugaiah A. M. Subbaiah, Jarkko Rautio, Nicholas A. Meanwell

и другие.

Chemical Society Reviews, Год журнала: 2024, Номер 53(4), С. 2099 - 2210

Опубликована: Янв. 1, 2024

Recent tactical applications of prodrugs as effective tools in drug discovery and development to resolve issues associated with delivery lead candidates are reviewed a reflection the approval 53 during 2012–2022.

Язык: Английский

Процитировано

27