Network pharmacology: the next paradigm in drug discovery
AL Hopkins - Nature chemical biology, 2008 - nature.com
The dominant paradigm in drug discovery is the concept of designing maximally selective
ligands to act on individual drug targets. However, many effective drugs act via modulation …
ligands to act on individual drug targets. However, many effective drugs act via modulation …
Diversity in Genetic In Vivo Methods for Protein-Protein Interaction Studies: from the Yeast Two-Hybrid System to the Mammalian Split-Luciferase System
B Stynen, H Tournu, J Tavernier… - … and molecular biology …, 2012 - Am Soc Microbiol
The yeast two-hybrid system pioneered the field of in vivo protein-protein interaction
methods and undisputedly gave rise to a palette of ingenious techniques that are constantly …
methods and undisputedly gave rise to a palette of ingenious techniques that are constantly …
KEA3: improved kinase enrichment analysis via data integration
Phosphoproteomics and proteomics experiments capture a global snapshot of the cellular
signaling network, but these methods do not directly measure kinase state. Kinase …
signaling network, but these methods do not directly measure kinase state. Kinase …
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Background The process of generating raw genome sequence data continues to become
cheaper, faster, and more accurate. However, assembly of such data into high-quality …
cheaper, faster, and more accurate. However, assembly of such data into high-quality …
[HTML][HTML] Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
The identification of human-virus protein-protein interactions (PPIs) is an essential and
challenging research topic, potentially providing a mechanistic understanding of viral …
challenging research topic, potentially providing a mechanistic understanding of viral …
Network-based integration of multi-omics data for prioritizing cancer genes
C Dimitrakopoulos, SK Hindupur, L Häfliger… - …, 2018 - academic.oup.com
Motivation Several molecular events are known to be cancer-related, including genomic
aberrations, hypermethylation of gene promoter regions and differential expression of …
aberrations, hypermethylation of gene promoter regions and differential expression of …
In silico prediction of physical protein interactions and characterization of interactome orphans
M Kotlyar, C Pastrello, F Pivetta, A Lo Sardo… - Nature …, 2015 - nature.com
Protein-protein interactions (PPIs) are useful for understanding signaling cascades,
predicting protein function, associating proteins with disease and fathoming drug …
predicting protein function, associating proteins with disease and fathoming drug …
PIPs: human protein–protein interaction prediction database
Abstract The PIPs database (http://www. compbio. dundee. ac. uk/www-pips) is a resource
for studying protein–protein interactions in human. It contains predictions of> 37 000 high …
for studying protein–protein interactions in human. It contains predictions of> 37 000 high …
Large-Scale prediction of human protein− protein interactions from amino acid sequence based on latent topic features
Protein− protein interaction (PPI) is at the core of the entire interactomic system of any living
organism. Although there are many human protein− protein interaction links being …
organism. Although there are many human protein− protein interaction links being …
Overcoming chemical, biological, and computational challenges in the development of inhibitors targeting protein-protein interactions
Protein-protein interactions (PPIs) underlie the majority of biological processes, signaling,
and disease. Approaches to modulate PPIs with small molecules have therefore attracted …
and disease. Approaches to modulate PPIs with small molecules have therefore attracted …