Antibiotic repurposing as alternative therapeutic strategies for cancer and Alzheimer's disease: A solution or conundrum? [0.03%]
抗生素再定位作为癌症和阿尔茨海默病的替代治疗策略：解决方案还是难题？
Amber Lot Yee Lee,Chee Wei Ang,Keng Yoon Yeong
Amber Lot Yee Lee
Traditionally, drugs targeting mammalian systems have been repurposed as antibacterials to combat antimicrobial resistance. This review highlights the reverse perspective - exploring the emerging potential of antibiotics in the treatment an...
Dinh Long Huynh,Srijit Seal;AIAS Consortium;Dylan Reid,Anne E Carpenter et al.
Dinh Long Huynh et al.
AI agents are emerging as transformative tools in drug discovery, with the ability to autonomously reason, act and learn through complicated research workflows. Building on large language models and specialized tools, these systems can inte...
Irina Tirosyan,Yeva Gabrielyan,Vahe Petrosyan et al.
Irina Tirosyan et al.
The development of antiviral therapies is constrained by high costs and extended timelines, often insufficient to address rapidly spreading viral outbreaks. Artificial intelligence (AI) has recently shown significant progress in identifying...
cGAS-STING pathway in lung cancer and emerging therapeutic approaches [0.03%]
cGAS-STING信号通路在肺癌中的作用及新兴治疗策略
Anuva Joshi,Enver Cagri Izgu
Anuva Joshi
Lung cancer is an aggressive malignancy with one of the highest mortality rates among cancers. The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway, a central mediator of immunity, is frequently attenu...
Engineering virus-like particles for lymph-node targeted cancer immunotherapy: strategies, challenges, and future prospects [0.03%]
工程化病毒样颗粒用于淋巴结靶向癌症免疫治疗：策略、挑战与未来前景
Hitesh Harsukhbhai Chandpa,Ruchika,Shovan Naskar et al.
Hitesh Harsukhbhai Chandpa et al.
Virus-like particles (VLPs) are emerging as effective platforms for cancer immunotherapy because of their strong immunogenicity and structural similarity to viruses. This review highlights recent advancements in engineering VLPs to target l...
Machine-learning-enabled modeling of pharmacokinetics and pharmacodynamics [0.03%]
机器学习支持的药代动力学和药效学建模与模拟
Yorgos M Psarellis,Nikhil Pillai,Saroj Dhakal et al.
Yorgos M Psarellis et al.
Computational modeling has been proven to be essential for assessing preclinical and clinical pharmacokinetics (PK) and pharmacodynamics (PD). In recent years, the pharmacometrics community has shown increasing interest in including machine...
Deciphering the missing links between Friedreich ataxia and multiple sclerosis for targeted drug development [0.03%]
破解遗传性共济失调和多发性硬化之间的联系以实现靶向药物研发
Faith A A Kwa,Sara Anjomani-Virmouni,Zenouska Ramchunder et al.
Faith A A Kwa et al.
Neurodegenerative diseases (NDDs), such as Friedreich ataxia (FA) and multiple sclerosis (MS), are marked by progressive neurodegeneration and heterogeneous pathologies. Despite distinct aetiologies, FA and MS appear to share some overlappi...
Rubén Cebrián,Juan Carlos Morales
Rubén Cebrián
Escalating antibiotic resistance and poor options for many parasitic infections, including neglected tropical diseases, demand new antimicrobial strategies. G-quadruplexes (G4s), which are noncanonical nucleic acid structures, are emerging ...
Corrigendum to "Fungal quorum-sensing molecules and antiseptics: A promising strategy for biofilm modulation?" [Drug Discov. Today 28 (2023) 103624] [0.03%]
关于“真菌群体感应分子和消毒剂：调节生物膜的有前景策略？”的勘误说明
Emilli Karine Marcomini,Melyssa Negri
Emilli Karine Marcomini
Published Erratum
Drug discovery today. 2026 Mar 19:104641. DOI:10.1016/j.drudis.2026.104641 2026
Excipients in orally inhaled protein formulations: current examples, challenges, and future directions [0.03%]
口服蛋白制剂中的辅料：现有实例、挑战及未来方向
Bhupinder Kaur,Thomas Sécher,Nathalie Heuzé-Vourc&#x;h
Bhupinder Kaur
Inhaled protein therapeutics offer a direct route to the lung and hold strong promise for improving respiratory disease treatment. Their development, however, is complicated by the intrinsic fragility of proteins and the physical stresses i...