Biological network analysis with deep learning
G Muzio, L O'Bray, K Borgwardt - Briefings in bioinformatics, 2021 - academic.oup.com
Recent advancements in experimental high-throughput technologies have expanded the
availability and quantity of molecular data in biology. Given the importance of interactions in …
availability and quantity of molecular data in biology. Given the importance of interactions in …
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review
P Csermely, T Korcsmáros, HJM Kiss, G London… - Pharmacology & …, 2013 - Elsevier
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …
methods and in rational drug design, the increase in approved drugs in the past decade did …
Network medicine framework for identifying drug-repurposing opportunities for COVID-19
D Morselli Gysi, Í Do Valle, M Zitnik… - Proceedings of the …, 2021 - National Acad Sciences
The COVID-19 pandemic has highlighted the need to quickly and reliably prioritize clinically
approved compounds for their potential effectiveness for severe acute respiratory syndrome …
approved compounds for their potential effectiveness for severe acute respiratory syndrome …
Plasma proteomics identify biomarkers and pathogenesis of COVID-19
T Shu, W Ning, D Wu, J Xu, Q Han, M Huang, X Zou… - Immunity, 2020 - cell.com
Summary The coronavirus disease 2019 (COVID-19) pandemic is a global public health
crisis. However, little is known about the pathogenesis and biomarkers of COVID-19. Here …
crisis. However, little is known about the pathogenesis and biomarkers of COVID-19. Here …
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
INTRODUCTION Our understanding of the pathophysiology of psychiatric disorders,
including autism spectrum disorder (ASD), schizophrenia (SCZ), and bipolar disorder (BD) …
including autism spectrum disorder (ASD), schizophrenia (SCZ), and bipolar disorder (BD) …
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
A system-wide understanding of cellular function requires knowledge of all functional
interactions between the expressed proteins. The STRING database aims to collect and …
interactions between the expressed proteins. The STRING database aims to collect and …
Integrated genomic characterization of papillary thyroid carcinoma
Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Here, we
describe the genomic landscape of 496 PTCs. We observed a low frequency of somatic …
describe the genomic landscape of 496 PTCs. We observed a low frequency of somatic …
A scored human protein–protein interaction network to catalyze genomic interpretation
Genome-scale human protein–protein interaction networks are critical to understanding cell
biology and interpreting genomic data, but challenging to produce experimentally. Through …
biology and interpreting genomic data, but challenging to produce experimentally. Through …
[HTML][HTML] Comprehensive pan-genomic characterization of adrenocortical carcinoma
We describe a comprehensive genomic characterization of adrenocortical carcinoma (ACC).
Using this dataset, we expand the catalogue of known ACC driver genes to include …
Using this dataset, we expand the catalogue of known ACC driver genes to include …
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes
Cancers exhibit extensive mutational heterogeneity, and the resulting long-tail phenomenon
complicates the discovery of genes and pathways that are significantly mutated in cancer …
complicates the discovery of genes and pathways that are significantly mutated in cancer …