Predicting protein–protein interactions from the molecular to the proteome level
Identification of protein–protein interactions (PPIs) is at the center of molecular biology
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …
Human diseases through the lens of network biology
LI Furlong - Trends in genetics, 2013 - cell.com
One of the challenges raised by next generation sequencing (NGS) is the identification of
clinically relevant mutations among all the genetic variation found in an individual. Network …
clinically relevant mutations among all the genetic variation found in an individual. Network …
Autism genes converge on asynchronous development of shared neuron classes
B Paulsen, S Velasco, AJ Kedaigle, M Pigoni… - Nature, 2022 - nature.com
Genetic risk for autism spectrum disorder (ASD) is associated with hundreds of genes
spanning a wide range of biological functions,,,,–. The alterations in the human brain …
spanning a wide range of biological functions,,,,–. The alterations in the human brain …
CytoTalk: De novo construction of signal transduction networks using single-cell transcriptomic data
Single-cell technology enables study of signal transduction in a complex tissue at
unprecedented resolution. We describe CytoTalk for de novo construction of cell type …
unprecedented resolution. We describe CytoTalk for de novo construction of cell type …
Revealing disease-associated pathways by network integration of untargeted metabolomics
Uncovering the molecular context of dysregulated metabolites is crucial to understand
pathogenic pathways. However, their system-level analysis has been limited owing to …
pathogenic pathways. However, their system-level analysis has been limited owing to …
Network-based interpretation of diverse high-throughput datasets through the omics integrator software package
High-throughput,'omic'methods provide sensitive measures of biological responses to
perturbations. However, inherent biases in high-throughput assays make it difficult to …
perturbations. However, inherent biases in high-throughput assays make it difficult to …
Passing messages between biological networks to refine predicted interactions
Regulatory network reconstruction is a fundamental problem in computational biology.
There are significant limitations to such reconstruction using individual datasets, and …
There are significant limitations to such reconstruction using individual datasets, and …
Hierarchical HotNet: identifying hierarchies of altered subnetworks
Motivation The analysis of high-dimensional 'omics data is often informed by the use of
biological interaction networks. For example, protein–protein interaction networks have …
biological interaction networks. For example, protein–protein interaction networks have …
Solving Steiner trees: Recent advances, challenges, and perspectives
I Ljubić - Networks, 2021 - Wiley Online Library
The Steiner tree problem (STP) in graphs is one of the most studied problems in
combinatorial optimization. Since its inception in 1970, numerous articles published in the …
combinatorial optimization. Since its inception in 1970, numerous articles published in the …
[HTML][HTML] Genome-scale networks link neurodegenerative disease genes to α-synuclein through specific molecular pathways
Numerous genes and molecular pathways are implicated in neurodegenerative
proteinopathies, but their inter-relationships are poorly understood. We systematically …
proteinopathies, but their inter-relationships are poorly understood. We systematically …