ArticleScientific reports2018
Allostery and cooperativity in multimeric proteins: bond-to-bond propensities in ATCase.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A new view of missense mutations in α-mannosidosis using molecular dynamics conformational ensembles.Protein science : a publication of the Protein Society · 2025Article
- Allosteric Hotspots in the Main Protease of SARS-CoV-2.Journal of molecular biology · 2022Article
- Prediction of allosteric sites and signaling: Insights from benchmarking datasets.Patterns (New York, N.Y.) · 2022Article
- ProteinLens: a web-based application for the analysis of allosteric signalling on atomistic graphs of biomolecules.Nucleic acids research · 2021Article
- Intrinsic dynamics is evolutionarily optimized to enable allosteric behavior.Current opinion in structural biology · 2020Review
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Authors and funding
3 authors.
Funding
Abstract
Aspartate carbamoyltransferase (ATCase) is a large dodecameric enzyme with six active sites that exhibits allostery: its catalytic rate is modulated by the binding of various substrates at distal points from the active sites. A recently developed method, bond-to-bond propensity analysis, has proven capable of predicting allosteric sites in a wide range of proteins using an energy-weighted atomistic graph obtained from the protein structure and given knowledge only of the location of the active site. Bond-to-bond propensity establishes if energy fluctuations at given bonds have significant effects on any other bond in the protein, by considering their propagation through the protein graph. In this work, we use bond-to-bond propensity analysis to study different aspects of ATCase activity using three different protein structures and sources of fluctuations. First, we predict key residues and bonds involved in the transition between inactive (T) and active (R) states of ATCase by analysing allosteric substrate binding as a source of energy perturbations in the protein graph. Our computational results also indicate that the effect of multiple allosteric binding is non linear: a switching effect is observed after a particular number and arrangement of substrates is bound suggesting a form of long range communication between the distantly arranged allosteric sites. Second, cooperativity is explored by considering a bisubstrate analogue as the source of energy fluctuations at the active site, also leading to the identification of highly significant residues to the T ↔ R transition that enhance cooperativity across active sites. Finally, the inactive (T) structure is shown to exhibit a strong, non linear communication between the allosteric sites and the interface between catalytic subunits, rather than the active site. Bond-to-bond propensity thus offers an alternative route to explain allosteric and cooperative effects in terms of detailed atomistic changes to individual bonds within the protein, rather than through phenomenological, global thermodynamic arguments.
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