Understudied proteins: opportunities and challenges for functional proteomics
Most research aiming at understanding the molecular foundations of life and disease has
focused on a limited set of increasingly well-known proteins while the biological functions of …
focused on a limited set of increasingly well-known proteins while the biological functions of …
Genomics, convergent neuroscience and progress in understanding autism spectrum disorder
More than a hundred genes have been identified that, when disrupted, impart large risk for
autism spectrum disorder (ASD). Current knowledge about the encoded proteins—although …
autism spectrum disorder (ASD). Current knowledge about the encoded proteins—although …
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …
Among these associations, protein–protein interactions are particularly important due to their …
Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
Behaviors and disorders related to self-regulation, such as substance use, antisocial
behavior and attention-deficit/hyperactivity disorder, are collectively referred to as …
behavior and attention-deficit/hyperactivity disorder, are collectively referred to as …
[HTML][HTML] Dual proteome-scale networks reveal cell-specific remodeling of the human interactome
Thousands of interactions assemble proteins into modules that impart spatial and functional
organization to the cellular proteome. Through affinity-purification mass spectrometry, we …
organization to the cellular proteome. Through affinity-purification mass spectrometry, we …
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
Proteins and their functional interactions form the backbone of the cellular machinery. Their
connectivity network needs to be considered for the full understanding of biological …
connectivity network needs to be considered for the full understanding of biological …
Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms
The increase in available high-throughput molecular data creates computational challenges
for the identification of cancer genes. Genetic as well as non-genetic causes contribute to …
for the identification of cancer genes. Genetic as well as non-genetic causes contribute to …
Pathway Commons 2019 Update: integration, analysis and exploration of pathway data
Abstract Pathway Commons (https://www. pathwaycommons. org) is an integrated resource
of publicly available information about biological pathways including biochemical reactions …
of publicly available information about biological pathways including biochemical reactions …
[HTML][HTML] Network analysis methods for studying microbial communities: A mini review
MS Matchado, M Lauber, S Reitmeier… - Computational and …, 2021 - Elsevier
Microorganisms including bacteria, fungi, viruses, protists and archaea live as communities
in complex and contiguous environments. They engage in numerous inter-and intra …
in complex and contiguous environments. They engage in numerous inter-and intra …
Target identification among known drugs by deep learning from heterogeneous networks
Without foreknowledge of the complete drug target information, development of promising
and affordable approaches for effective treatment of human diseases is challenging. Here …
and affordable approaches for effective treatment of human diseases is challenging. Here …