Literature DB >> 35278424

Diffusion control in biochemical specificity.

Jose L Alejo1, Christopher P Kempes2, Katarzyna P Adamala3.   

Abstract

Biochemical specificity is critical in enzyme function, evolution, and engineering. Here we employ an established kinetic model to dissect the effects of reactant geometry and diffusion on product formation speed and accuracy in the presence of cognate (correct) and near-cognate (incorrect) substrates. Using this steady-state model for spherical geometries, we find that, for distinct kinetic regimes, the speed and accuracy of the reactions are optimized on different regions of the geometric landscape. From this model we deduce that accuracy can be strongly dependent on reactant geometric properties even for chemically limited reactions. Notably, substrates with a specific geometry and reactivity can be discriminated by the enzyme with higher efficacy than others through purely diffusive effects. For similar cognate and near-cognate substrate geometries (as is the case for polymerases or the ribosome), we observe that speed and accuracy are maximized in opposing regions of the geometric landscape. We also show that, in relevant environments, diffusive effects on accuracy can be substantial even far from extreme kinetic conditions. Finally, we find how reactant chemical discrimination and diffusion can be related to simultaneously optimize steady-state flux and accuracy. These results highlight how diffusion and geometry can be employed to enhance reaction speed and discrimination, and similarly how they impose fundamental restraints on these quantities.
Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2022        PMID: 35278424      PMCID: PMC9072584          DOI: 10.1016/j.bpj.2022.03.005

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   3.699


  47 in total

1.  Geometry-controlled kinetics.

Authors:  O Bénichou; C Chevalier; J Klafter; B Meyer; R Voituriez
Journal:  Nat Chem       Date:  2010-04-18       Impact factor: 24.427

Review 2.  Enzyme promiscuity: mechanism and applications.

Authors:  Karl Hult; Per Berglund
Journal:  Trends Biotechnol       Date:  2007-03-26       Impact factor: 19.536

3.  Kinetic proofreading: a new mechanism for reducing errors in biosynthetic processes requiring high specificity.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1974-10       Impact factor: 11.205

4.  Diffusion-controlled bimolecular reaction rates. The effect of rotational diffusion and orientation constraints.

Authors:  D Shoup; G Lipari; A Szabo
Journal:  Biophys J       Date:  1981-12       Impact factor: 4.033

Review 5.  Selforganization of matter and the evolution of biological macromolecules.

Authors:  M Eigen
Journal:  Naturwissenschaften       Date:  1971-10

6.  Transcriptional accuracy modeling suggests two-step proofreading by RNA polymerase.

Authors:  Harriet Mellenius; Måns Ehrenberg
Journal:  Nucleic Acids Res       Date:  2017-11-16       Impact factor: 16.971

7.  Trade-Offs between Error, Speed, Noise, and Energy Dissipation in Biological Processes with Proofreading.

Authors:  Joel D Mallory; Anatoly B Kolomeisky; Oleg A Igoshin
Journal:  J Phys Chem B       Date:  2019-05-23       Impact factor: 2.991

Review 8.  Fundamental aspects of protein-protein association kinetics.

Authors:  G Schreiber; G Haran; H-X Zhou
Journal:  Chem Rev       Date:  2009-03-11       Impact factor: 60.622

9.  Central dogma rates and the trade-off between precision and economy in gene expression.

Authors:  Jean Hausser; Avi Mayo; Leeat Keren; Uri Alon
Journal:  Nat Commun       Date:  2019-01-08       Impact factor: 14.919

10.  Evolutionary tradeoffs in cellular composition across diverse bacteria.

Authors:  Christopher P Kempes; Lawrence Wang; Jan P Amend; John Doyle; Tori Hoehler
Journal:  ISME J       Date:  2016-04-05       Impact factor: 10.302

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.