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BEYOND GENOMICS. "Genomic sequencing will, however, if performed in isolation, leave fundamental questions pertaining to genotype-phenotype relationships unresolved. The causal changes that connect genotype to phenotype remain generally unknown, especially for complex trait loci and cancer-associated mutations." https://lnkd.in/eUdRWEe View in LinkedIn

POLYCAUSALITY. "A disease is rarely a straightforward consequence of an abnormality in a single gene, but rather reflects the interplay of multiple molecular processes. The relationships among these processes are encoded in the interactome, a network that integrates all physical interactions within a cell, from protein-protein to regulatory protein–DNA and metabolic interactions." https://lnkd.in/eBGWbaG View in LinkedIn

NETWORKS AND SELECTIVE PRESSURE. "Genes with lower network centralities are more likely to evolve under positive selection (as inferred from divergence data). Surprisingly, polymorphism data yield results in the opposite direction than divergence data: Genes with higher centralities are more likely to have been targeted by recent positive selection during recent human evolution." http://gbe.oxfordjournals.org/content/7/4/1141.full View in LinkedIn

GENES AND MOLECULAR NETWORKS. "Genes vary in their likelihood to undergo adaptive evolution. The genomic factors that determine adaptability, however, remain poorly understood. Genes function in the context of molecular networks, with some occupying more important positions than others and thus being likely to be under stronger selective pressures." https://lnkd.in/eUfp5tg View in LinkedIn

MANY HUMAN INTERACTOMES. "How they are different and regulated is crucial for their understanding. Protein interaction networks are dynamic and context dependent. The differences in networks between cellular states are probably determined by key regulatory mechanisms for controlling these states." https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0913-4 View in LinkedIn

PART OF THE WHOLE. "The function of a protein is often tied to its interactions, and many proteins function as components of large multiprotein complexes. Multiprotein complexes also will connect to each other in a cell to carry out coordinated biological functions. Every cell has a network of protein interactions, where these connections within and between proteins and complexes yield insights into cellular states." https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0913-4 View in LinkedIn

COLLABORATIVE GROUPS. "As proteins form larger assemblies to confer context-specific functionality, the systematic analysis of protein–protein interactions (PPIs) is a powerful strategy for identifying physiological pathways associated with a protein of interest, following the “guilt of association” principle, and to further characterize these pathways by unveiling the physical contacts that underlie them." https://lnkd.in/eA-DhWV View in LinkedIn

VISUAL DESCRIPTION of the protein-protein interactome complexity. https://lnkd.in/eA-DhWV View in LinkedIn

CONSERVED PATTERNS. "The networks of protein–protein interactions, or interactomes, although distinctive to their individual organisms, manifest global and local characteristics that are shared across species. Most notably, the organization of these networks exhibits a scale-free topology with a substantial number of highly connected hub proteins." https://lnkd.in/eTyvTV7 View in LinkedIn

GENOME MODULES. "Phage functions were maintained in the genome as modules, and that these homologous or analogous sequences could be interchanged easily between different phages." https://lnkd.in/eYJFG_7 View in LinkedIn