Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
[PDF][PDF] Use of bioinformatics tools in different spheres of life sciences
The pace, by which scientific knowledge is being produced and shared today, was never
been so fast in the past. Different areas of science are getting closer to each other to give …
been so fast in the past. Different areas of science are getting closer to each other to give …
Uncovering effects of antibiotics on the host and microbiota using transkingdom gene networks
Objective Despite widespread use of antibiotics for the treatment of life-threatening
infections and for research on the role of commensal microbiota, our understanding of their …
infections and for research on the role of commensal microbiota, our understanding of their …
Differential co-expression network analysis reveals key hub-high traffic genes as potential therapeutic targets for COVID-19 pandemic
Background The recent emergence of COVID-19, rapid worldwide spread, and incomplete
knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited …
knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited …
Biomedical text mining and its applications
R Rodriguez-Esteban - PLoS computational biology, 2009 - journals.plos.org
This tutorial is intended for biologists and computational biologists interested in adding text
mining tools to their bioinformatics toolbox. As an illustrative example, the tutorial examines …
mining tools to their bioinformatics toolbox. As an illustrative example, the tutorial examines …
Systems biology in drug discovery and development
EL Berg - Drug discovery today, 2014 - Elsevier
The complexity of human biology makes it challenging to develop safe and effective new
medicines. Systems biology omics-based efforts have led to an explosion of high-throughput …
medicines. Systems biology omics-based efforts have led to an explosion of high-throughput …
The effect of inhibition of PP1 and TNFα signaling on pathogenesis of SARS coronavirus
JE McDermott, HD Mitchell, LE Gralinski, AJ Eisfeld… - BMC systems …, 2016 - Springer
Background The complex interplay between viral replication and host immune response
during infection remains poorly understood. While many viruses are known to employ anti …
during infection remains poorly understood. While many viruses are known to employ anti …
Drug repurposing: a better approach for infectious disease drug discovery?
GL Law, J Tisoncik-Go, MJ Korth, MG Katze - Current opinion in …, 2013 - Elsevier
Highlights•Infectious disease investigators need to embrace new drug repurposing
approaches.•Key components include public databases and predictive computational …
approaches.•Key components include public databases and predictive computational …
A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses
HD Mitchell, AJ Eisfeld, AC Sims, JE McDermott… - PloS one, 2013 - journals.plos.org
Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory
Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging …
Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging …
[HTML][HTML] Pathway and network approaches for identification of cancer signature markers from omics data
J Wang, Y Zuo, Y Man, I Avital, A Stojadinovic… - Journal of …, 2015 - ncbi.nlm.nih.gov
The advancement of high throughput omic technologies during the past few years has made
it possible to perform many complex assays in a much shorter time than the traditional …
it possible to perform many complex assays in a much shorter time than the traditional …