Enzymatic complexes across scales
Author(s) -
Panagiotis L. Kastritis,
AnneClaude Gavin
Publication year - 2018
Publication title -
essays in biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.351
H-Index - 66
eISSN - 1744-1358
pISSN - 0071-1365
DOI - 10.1042/ebc20180008
Subject(s) - computational biology , enzyme , organelle , biology , bridging (networking) , metabolic pathway , biochemistry , computer science , computer network
An unprecedented opportunity to integrate ~100 years of meticulous in vitro biomolecular research is currently provided in the light of recent advances in methods to visualize closer-to-native architectures of biomolecular machines, and metabolic enzymes in particular. Traditional views of enzymes, namely biomolecular machines, only partially explain their role, organization and kinetics in the cellular milieu. Enzymes self- or hetero-associate, form fibers, may bind to membranes or cytoskeletal elements, have regulatory roles, associate into higher order assemblies (metabolons) or even actively participate in phase-separated membraneless organelles, and all the above in a transient, temporal and spatial manner in response to environmental changes or structural/functional changes of their assemblies. Here, we focus on traditional and emerging concepts in cellular biochemistry and discuss new opportunities in bridging structural, molecular and cellular analyses for metabolic pathways, accumulated over the years, highlighting functional aspects of enzymatic complexes discussed across different levels of spatial resolution.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom