Network pharmacology: curing causal mechanisms instead of treating symptoms
For complex diseases, most drugs are highly ineffective, and the success rate of drug
discovery is in constant decline. While low quality, reproducibility issues, and translational …
discovery is in constant decline. While low quality, reproducibility issues, and translational …
The emerging role of mass spectrometry-based proteomics in drug discovery
Proteins are the main targets of most drugs; however, system-wide methods to monitor
protein activity and function are still underused in drug discovery. Novel biochemical …
protein activity and function are still underused in drug discovery. Novel biochemical …
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …
Among these associations, protein–protein interactions are particularly important due to their …
Large-scale deep multi-layer analysis of Alzheimer's disease brain reveals strong proteomic disease-related changes not observed at the RNA level
The biological processes that are disrupted in the Alzheimer's disease (AD) brain remain
incompletely understood. In this study, we analyzed the proteomes of more than 1,000 brain …
incompletely understood. In this study, we analyzed the proteomes of more than 1,000 brain …
More is different in real-world multilayer networks
M De Domenico - Nature Physics, 2023 - nature.com
The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …
patterns and dynamical processes that are well captured by network models. However, most …
Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
Abstract Characterization and integration of the genome, epigenome, transcriptome,
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …
Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy
IgA nephropathy (IgAN) is a progressive form of kidney disease defined by glomerular
deposition of IgA. Here we performed a genome-wide association study of 10,146 kidney …
deposition of IgA. Here we performed a genome-wide association study of 10,146 kidney …
Systems biology in cardiovascular disease: a multiomics approach
Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …
new informatics approaches alongside conventional statistical methods. Systems theories …
Metabolomics in diabetes and diabetic complications: insights from epidemiological studies
Q **, RCW Ma - Cells, 2021 - mdpi.com
The increasing prevalence of diabetes and its complications, such as cardiovascular and
kidney disease, remains a huge burden globally. Identification of biomarkers for the …
kidney disease, remains a huge burden globally. Identification of biomarkers for the …