Results 101 to 110 of about 1,429,081 (399)

Characterization of exoribonuclease XRN1 as a cancer target and identification of adenosine-3’,5’-bisphosphate as a potent enzyme inhibitor

Communications Biology
XRN1 (5’-3’ exoribonuclease 1) degrades RNA from the 5′ → 3′ direction and utilizes both single- and double-stranded RNA as substrates. XRN1 plays a critical role in mRNA turnover as well as regulating the cellular response to viral infection.
Gordon J. Lockbaum, Maureen M. Lynes, Sophie A. Shen, Julie Liu, Nicholas Holt, Sunaina P. Nayak, Kevin E. Knockenhauer, Shihua Yao, E. Allen Sickmier, Anugraha Raman, Jie Wu, April Case, Livia Shehaj, Shane M. Buker, Simina Grigoriu, Scott Ribich, Stephen J. Blakemore, Brian A. Sparling, Kenneth W. Duncan, Robert A. Copeland, Serena J. Silver, P. Ann Boriack-Sjodin   +21 more
doaj   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

FEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

A quantitative study on the role of TKI combined with Wnt/$β$-catenin signaling and IFN-$α$ in the treatment of CML through deterministic and stochastic approaches [PDF]

, 2019
We propose deterministic and stochastic models for studying the pharmacokinetics of chronic myeloid leukemia (CML), upon administration of IFN-$\alpha$ (the traditional treatment for CML), TKI (the current frontline medication for CML) and Wnt/$\beta$-catenin signaling (the state-of-the art therapeutic breakthrough for CML).
arxiv   +1 more source

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development [PDF]

arXiv, 2021
Therapeutics machine learning is an emerging field with incredible opportunities for innovatiaon and impact. However, advancement in this field requires formulation of meaningful learning tasks and careful curation of datasets. Here, we introduce Therapeutics Data Commons (TDC), the first unifying platform to systematically access and evaluate machine ...
arxiv  

Bitter Taste Receptors for Asthma Therapeutics. [PDF]

, 2019
Clinical management of asthma and chronic obstructive pulmonary disease (COPD) has primarily relied on the use of beta 2 adrenergic receptor agonists (bronchodilators) and corticosteroids, and more recently, monoclonal antibody therapies (biologics ...
Deshpande, Deepak A., Michael, James V., Nayak, Ajay P., Shah, Sushrut D.   +3 more
core   +1 more source

Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms

FEBS Letters, EarlyView.
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze, Stéphane Canaan, Alexandre Gouzy, Pierre Santucci   +3 more
wiley   +1 more source

Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration [PDF]

arXiv, 2023
Most of the existing disease prediction methods in the field of medical image processing fall into two classes, namely image-to-category predictions and image-to-parameter predictions. Few works have focused on image-to-image predictions. Different from multi-horizon predictions in other fields, ophthalmologists prefer to show more confidence in single-
arxiv  

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source

Targeted transcriptional downregulation of MYC using epigenomic controllers demonstrates antitumor activity in hepatocellular carcinoma models

Nature Communications
Dysregulation of master regulator c-MYC (MYC) plays a central role in hepatocellular carcinoma (HCC) and other cancers but remains an elusive target for therapeutic intervention.
William Senapedis, Kayleigh M. Gallagher, Elmer Figueroa, Jeremiah D. Farelli, Robert Lyng, J. Graeme Hodgson, Charles W. O’Donnell, Joseph V. Newman, Madison Pacaro, Stephen K. Siecinski, Justin Chen, Thomas G. McCauley   +11 more
doaj   +1 more source

Therapeutic emails [PDF]

Substance Abuse Treatment, Prevention, and Policy, 2007
In this paper, we show how counselors and psychologists can use emails for online management of substance abusers, including the anatomy and content of emails that clinicians should send substance abusers. Some investigators have attempted to determine if providing mental health services online is an efficacious delivery of treatment.
Renita Aughburns, Jennifer A. Sinkule, Farrokh Alemi, Mary R. Haack, Duncan Neuhauser, Susanna Nemes   +5 more
openaire   +4 more sources