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An in-depth review of AI-powered advancements in cancer drug discovery.

Biochim Biophys Acta Mol Basis Dis

January 2025

AIBioMed Research Group, Taipei Medical University, Taipei 110, Taiwan; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan. Electronic address:

The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by facilitating the development of personalized and effective therapies. This review examines the transformative role of AI technologies, including deep learning and advanced data analytics, in accelerating key stages of the drug discovery process: target identification, drug design, clinical trial optimization, and drug response prediction. Cutting-edge tools such as DrugnomeAI and PandaOmics have made substantial contributions to therapeutic target identification, while AI's predictive capabilities are driving personalized treatment strategies.

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Background: Risk preference changes nonlinearly across development. Although extensive developmental research on the neurotypical (NTP) population has shown that risk preference is highest during adolescence, developmental changes in risk preference in autistic (AUT) people, who tend to prefer predictable behaviors, have not been investigated. Here, we aimed to investigate these changes and underlying computational mechanisms.

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Transforming an ATP-dependent enzyme into a dissipative, self-assembling system.

Nat Chem Biol

January 2025

Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.

Nucleoside triphosphate (NTP)-dependent protein assemblies such as microtubules and actin filaments have inspired the development of diverse chemically fueled molecular machines and active materials but their functional sophistication has yet to be matched by design. Given this challenge, we asked whether it is possible to transform a natural adenosine 5'-triphosphate (ATP)-dependent enzyme into a dissipative self-assembling system, thereby altering the structural and functional mode in which chemical energy is used. Here we report that FtsH (filamentous temperature-sensitive protease H), a hexameric ATPase involved in membrane protein degradation, can be readily engineered to form one-dimensional helical nanotubes.

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Enhancing tuberculosis case notifications through mapping sales of medicine in the private sector: a quasi-experimental study in Punjab province, Pakistan.

BMC Health Serv Res

January 2025

Innovations & Grants, Stop TB Partnership, Global Health Campus - Chemin du Pommier 40, Le Grand-Saconnex, 1218, Geneva, Switzerland.

Introduction: In Pakistan, almost one-third of people who develop tuberculosis (TB) are missed by the National TB Program (NTP). A considerable number of people with TB receive treatment in the private sector but remain unnotified. This study documents the outcomes of an intervention to identify people with TB through private pharmacy engagement, building on mapping TB medicine sales in Punjab Province.

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Introduction: The non-thermal plasma (NTP) technique has been suggested as a sustainable horticultural practice to promote biomass accumulation, nutrient uptake, N metabolism, and disease prevention in plants. In particular, the potentiality of this technique to promote the natural accumulation of nutrients into plants deserve to be explored as input saving is strongly recommended in the horticultural sector.

Methods: The nutrient solution supplied to a red coloured variety of rocket salad [ (L.

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