[HTML][HTML] Exploring the promising potential of induced pluripotent stem cells in cancer research and therapy

M Chehelgerdi, F Behdarvand Dehkordi… - Molecular Cancer, 2023 - Springer
The advent of iPSCs has brought about a significant transformation in stem cell research,
opening up promising avenues for advancing cancer treatment. The formation of cancer is a …

[HTML][HTML] Why Do Dietary Flavonoids Have a Promising Effect as Enhancers of Anthracyclines? Hydroxyl Substituents, Bioavailability and Biological Activity

A Golonko, AJ Olichwier, R Swislocka… - International Journal of …, 2022 - mdpi.com
Anthracyclines currently play a key role in the treatment of many cancers, but the limiting
factor of their use is the widespread phenomenon of drug resistance and untargeted toxicity …

ConsensusPathDB 2022: molecular interactions update as a resource for network biology

A Kamburov, R Herwig - Nucleic acids research, 2022 - academic.oup.com
Molecular interactions are key drivers of biological function. Providing interaction resources
to the research community is important since they allow functional interpretation and network …

[HTML][HTML] Omics technologies to understand drug toxicity mechanisms

N Nguyen, D Jennen, J Kleinjans - Drug Discovery Today, 2022 - Elsevier
Highlights•High throughput technologies (HTPs) provide quantitative and multi-dimensional
omics data.•Available HTPs can capture biological alterations in DNA, RNA, protein, and …

The genomic physics of tumor–microenvironment crosstalk

M Sang, L Feng, A Dong, C Gragnoli, C Griffin, R Wu - Physics Reports, 2023 - Elsevier
The recent years have witnessed the explosive application of sequencing technologies to
study tumor–microenvironment interactions and their role in shaping intratumoral …

Intercellular pathways of cancer treatment-related cardiotoxicity and their therapeutic implications: the paradigm of radiotherapy

S Logotheti, A Pavlopoulou, HK Rudsari… - Pharmacology & …, 2024 - Elsevier
Advances in cancer therapeutics have improved patient survival rates. However, cancer
survivors may suffer from adverse events either at the time of therapy or later in life …

[HTML][HTML] Computational screen for sex-specific drug effects in a cardiac fibroblast signaling network model

KM Watts, W Nichols, WJ Richardson - Scientific Reports, 2023 - nature.com
Heart disease is the leading cause of death in both men and women. Cardiac fibrosis is the
uncontrolled accumulation of extracellular matrix proteins, which can exacerbate the …

[HTML][HTML] Industrializing AI-powered drug discovery: lessons learned from the Patrimony computing platform

M Guedj, J Swindle, A Hamon, S Hubert… - Expert Opinion on …, 2022 - Taylor & Francis
Introduction As a mid-size international pharmaceutical company, we initiated 4 years ago
the launch of a dedicated high-throughput computing platform supporting drug discovery …

[HTML][HTML] Machine learning for metabolomics research in drug discovery

DD Martinelli - Intelligence-Based Medicine, 2023 - Elsevier
In a pharmaceutical context, metabolomics is an underexplored area of research.
Nevertheless, its utility in clinical pathology, biomarker discovery, metabolic subtyping, and …

Computational approaches leveraging integrated connections of multi-omic data toward clinical applications

HC Demirel, MK Arici, N Tuncbag - Molecular omics, 2022 - pubs.rsc.org
In line with the advances in high-throughput technologies, multiple omic datasets have
accumulated to study biological systems and diseases coherently. No single omics data type …