[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing

F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

[HTML][HTML] Targeting the Ubiquitin–Proteasome System and Recent Advances in Cancer Therapy

D Spano, G Catara - Cells, 2023 - mdpi.com
Ubiquitination is a reversible post-translational modification based on the chemical addition
of ubiquitin to proteins with regulatory effects on various signaling pathways. Ubiquitination …

Pathological and molecular diagnoses of early cancer with bile and pancreatic juice

M Kuwatani, N Sakamoto - Digestive Endoscopy, 2022 - Wiley Online Library
The dismal prognosis of pancreaticobiliary malignancies is mainly attributed to the extremely
difficult detection of early‐stage lesions, including intraepithelial neoplasia. To improve …

[HTML][HTML] A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations

MN Gondal, SUR Shah, AM Chinnaiyan, M Cieslik - ArXiv, 2024 - ncbi.nlm.nih.gov
Rapid advancements in high-throughput single-cell RNA-seq (scRNA-seq) technologies
and experimental protocols have led to the generation of vast amounts of genomic data that …

A rule-based multiscale model of hepatic stellate cell plasticity: critical role of the inactivation loop in fibrosis progression

M Bouguéon, V Legagneux, O Hazard, J Bomo… - bioRxiv, 2024 - biorxiv.org
Hepatic stellate cells (HSC) are the source of extracellular matrix (ECM) whose
overproduction leads to fibrosis, a condition that impairs liver functions in chronic liver …

CanSeer: A Method for Development and Clinical Translation of Personalized Cancer Therapeutics

RN Butt, B Amina, MU Sultan, ZB Tanveer, R Hussain… - bioRxiv, 2022 - biorxiv.org
Computational modeling and analysis of biomolecular network models annotated with
cancer patient-specific multi-omics data can enable the development of personalized …