Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data
B Alexander-Dann, LL Pruteanu, E Oerton… - Molecular omics, 2018 - pubs.rsc.org
The toxicogenomics field aims to understand and predict toxicity by using 'omics' data in
order to study systems-level responses to compound treatments. In recent years there has …
order to study systems-level responses to compound treatments. In recent years there has …
R-loop proximity proteomics identifies a role of DDX41 in transcription-associated genomic instability
Transcription poses a threat to genomic stability through the formation of R-loops that can
obstruct progression of replication forks. R-loops are three-stranded nucleic acid structures …
obstruct progression of replication forks. R-loops are three-stranded nucleic acid structures …
Protein interaction networks: centrality, modularity, dynamics, and applications
In the post-genomic era, proteomics has achieved significant theoretical and practical
advances with the development of high-throughput technologies. Especially the rapid …
advances with the development of high-throughput technologies. Especially the rapid …
Predicting microRNA-disease associations based on improved microRNA and disease similarities
MicroRNAs (miRNAs) are a type of non-coding RNAs with about~ 22nt nucleotides.
Increasing evidences have shown that miRNAs play critical roles in many human diseases …
Increasing evidences have shown that miRNAs play critical roles in many human diseases …
CytoCluster: a cytoscape plugin for cluster analysis and visualization of biological networks
Nowadays, cluster analysis of biological networks has become one of the most important
approaches to identifying functional modules as well as predicting protein complexes and …
approaches to identifying functional modules as well as predicting protein complexes and …
[HTML][HTML] Immunomodulatory activity and active mechanisms of a low molecular polysaccharide isolated from Lanzhou lily bulbs in RAW264. 7 macrophages
H Wei, Y Wang, W Li, Y Qiu, C Hua, Y Zhang… - Journal of Functional …, 2022 - Elsevier
Exploring immunomodulatory effects of polysaccharides mechanisms is highly significant. In
this study, Lanzhou lily (Lilium davidii var. unicolor) polysaccharides (LP) of 6.80× 10 3 Da …
this study, Lanzhou lily (Lilium davidii var. unicolor) polysaccharides (LP) of 6.80× 10 3 Da …
United neighborhood closeness centrality and orthology for predicting essential proteins
Identifying essential proteins plays an important role in disease study, drug design, and
understanding the minimal requirement for cellular life. Computational methods for essential …
understanding the minimal requirement for cellular life. Computational methods for essential …
[HTML][HTML] An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients
Background With high inflammatory states from both COVID-19 and HIV conditions further
result in complications. The ongoing confrontation between these two viral infections can be …
result in complications. The ongoing confrontation between these two viral infections can be …
Multiscale community detection in Cytoscape
Detection of community structure has become a fundamental step in the analysis of
biological networks with application to protein function annotation, disease gene prediction …
biological networks with application to protein function annotation, disease gene prediction …
United complex centrality for identification of essential proteins from PPI networks
Essential proteins are indispensable for the survival or reproduction of an organism.
Identification of essential proteins is not only necessary for the understanding of the minimal …
Identification of essential proteins is not only necessary for the understanding of the minimal …