Results 141 to 150 of about 6,291,138 (303)
Lei Sheng,1 Xuening Li,1 Jia Yu,2 Xiaodong Yang,2 Hui Li,1 Hongrong Xu1 1Department of Clinical Pharmacology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 2Department of Clinical Pharmacology, Shenzhen Chipscreen ...
Sheng L, Li X, Yu J, Yang X, Li H, Xu H
doaj
Graph neural network-based drug-drug interaction prediction
With the growing variety of pharmacological compounds and the increasing need for polypharmacy, accurately predicting drug-drug interactions (DDIs) is essential to ensure both treatment efficacy and patient safety. Beneficial DDIs can enhance therapeutic
Khushnood Abbas +5 more
doaj +1 more source
ADP‐ribosylation: An emerging regulator of the epigenome
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho +2 more
wiley +1 more source
Prescription Drug Affordability Board newsletter
Oregon Prescription Drug Affordability Board.Covers OCLC #1356823819, OCLC #1375385138This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program.
core
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou +4 more
wiley +1 more source
Learning self-supervised molecular representations for drug–drug interaction prediction
Drug–drug interactions (DDI) are a critical concern in healthcare due to their potential to cause adverse effects and compromise patient safety. Supervised machine learning models for DDI prediction need to be optimized to learn abstract, transferable ...
Rogia Kpanou +3 more
doaj +1 more source
Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley +1 more source
Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source

