Results 251 to 260 of about 11,447,845 (407)
MDG-DDI: multi-feature drug graph for drug-drug interaction prediction. [PDF]
Li W, Zhou Y, Ma W, Liang W, Tang X.
europepmc +1 more source
Drug–drug interaction between clobazam and cannabidiol in children with refractory epilepsy
Alexandra L. Geffrey +3 more
semanticscholar +1 more source
Molecular determinants of signal transduction in tropomyosin receptor kinases
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley +1 more source
DDI-CYP: Metabolism ensemble models for drug-drug interaction predictions. [PDF]
Wong JT +4 more
europepmc +1 more source
Skin biopsies taken from a patient with an ultra‐rare disorder as well as controls were cultured for up to 473 days. The chunks of skin were serially transferred to a new culture plate when confluent with fibroblasts. Different generations of fibroblasts were analyzed for cell and molecular properties, proliferation, and competence for reprogramming to
Sudiksha Rathan‐Kumar +3 more
wiley +1 more source
Advancing Drug-Drug Interaction Prediction with Biomimetic Improvements: Leveraging the Latest Artificial Intelligence Techniques to Guide Researchers in the Field. [PDF]
Marqas RB +4 more
europepmc +1 more source
Day/night variations of myeloid and lymphoid cell subsets in the murine inguinal lymph node
The circadian system is involved in the temporal regulation of the immune system. Our study reveals that two innate immune populations, NKT cells and neutrophils, predominate at the beginning of the day in healthy mice, highlighting how the time of day influences immune responses.
Paula M. Wagner +6 more
wiley +1 more source
Graph neural network-based drug-drug interaction prediction. [PDF]
Abbas K +5 more
europepmc +1 more source
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan +6 more
wiley +1 more source

