Toxicity testing in the 21st century: progress in the past decade and future perspectives
D Krewski, ME Andersen, MG Tyshenko… - Archives of …, 2020 - Springer
Advances in the biological sciences have led to an ongoing paradigm shift in toxicity testing
based on expanded application of high-throughput in vitro screening and in silico methods …
based on expanded application of high-throughput in vitro screening and in silico methods …
[HTML][HTML] A novel multi-network approach reveals tissue-specific cellular modulators of fibrosis in systemic sclerosis
Abstract Background Systemic sclerosis (SSc) is a multi-organ autoimmune disease
characterized by skin fibrosis. Internal organ involvement is heterogeneous. It is unknown …
characterized by skin fibrosis. Internal organ involvement is heterogeneous. It is unknown …
An integrative framework of heterogeneous genomic data for cancer dynamic modules based on matrix decomposition
Cancer progression is dynamic, and tracking dynamic modules is promising for cancer
diagnosis and therapy. Accumulated genomic data provide us an opportunity to investigate …
diagnosis and therapy. Accumulated genomic data provide us an opportunity to investigate …
[HTML][HTML] Correcting the F508del-CFTR variant by modulating eukaryotic translation initiation factor 3–mediated translation initiation
DM Hutt, S Loguercio, DM Roth, AI Su… - Journal of Biological …, 2018 - ASBMB
Inherited and somatic rare diseases result from> 200,000 genetic variants leading to loss-or
gain-of-toxic function, often caused by protein misfolding. Many of these misfolded variants …
gain-of-toxic function, often caused by protein misfolding. Many of these misfolded variants …
[HTML][HTML] Pancreatic islet protein complexes and their dysregulation in type 2 diabetes
Type 2 diabetes (T2D) is a complex disease that involves multiple genes. Numerous risk loci
have already been associated with T2D, although many susceptibility genes remain to be …
have already been associated with T2D, although many susceptibility genes remain to be …
[图书][B] Computational prediction of protein complexes from protein interaction networks
Complexes of physically interacting proteins constitute fundamental functional units that
drive almost all biological processes within cells. A faithful reconstruction of the entire set of …
drive almost all biological processes within cells. A faithful reconstruction of the entire set of …
[HTML][HTML] Prior knowledge guided active modules identification: an integrated multi-objective approach
Background Active module, defined as an area in biological network that shows striking
changes in molecular activity or phenotypic signatures, is important to reveal dynamic and …
changes in molecular activity or phenotypic signatures, is important to reveal dynamic and …
[HTML][HTML] Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks
Background Several recent studies have used the Minimum Dominating Set (MDS) model to
identify driver nodes, which provide the control of the underlying networks, in protein …
identify driver nodes, which provide the control of the underlying networks, in protein …
Modeling cellular differentiation and reprogramming with gene regulatory networks
A Hartmann, S Ravichandran, A Del Sol - Computational Stem Cell Biology …, 2019 - Springer
Gene expression regulation is a fundamental cellular process that enables robust
functioning of cells. How different genes interact among themselves to coordinate and …
functioning of cells. How different genes interact among themselves to coordinate and …
Active module identification in biological networks
W Chen - 2018 - etheses.bham.ac.uk
This thesis addresses the problem of active module identification in biological networks.
Active module identification is a research topic in network biology that aims to identify …
Active module identification is a research topic in network biology that aims to identify …