[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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
Nevertheless, its utility in clinical pathology, biomarker discovery, metabolic subtyping, and …
Computational approaches leveraging integrated connections of multi-omic data toward clinical applications
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 …
accumulated to study biological systems and diseases coherently. No single omics data type …