Literature DB >> 19065786

Kinetic proofreading model.

Byron Goldstein1, Daniel Coombs, James R Faeder, William S Hlavacek.   

Abstract

Kinetic proofreading is an intrinsic property of the cell signaling process. It arises as a consequence of the multiple interactions that occur after a ligand triggers a receptor to initiate a ignaling cascade and it ensures that false signals do not propagate to completion. In order for an active signaling complex to form after a ligand binds to a cell surface receptor, a sequence of binding and phosphorylation events must occur that are rapidly reversed if the ligand dissociates from the receptor. This gives rise to a mechanism by which cells can discriminate among ligands that bind to the same receptor but form ligand-receptor complexes with different lifetimes. We review experiments designed to test for kinetic proofreading and models that exhibit kinetic proofreading.

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Year:  2008        PMID: 19065786     DOI: 10.1007/978-0-387-09789-3_8

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  9 in total

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Authors:  Jayajit Das
Journal:  Biophys J       Date:  2010-10-06       Impact factor: 4.033

Review 2.  Modeling for (physical) biologists: an introduction to the rule-based approach.

Authors:  Lily A Chylek; Leonard A Harris; James R Faeder; William S Hlavacek
Journal:  Phys Biol       Date:  2015-07-16       Impact factor: 2.583

3.  The SCHOOL of nature: I. Transmembrane signaling.

Authors:  Alexander B Sigalov
Journal:  Self Nonself       Date:  2010-01

Review 4.  Pairing computation with experimentation: a powerful coupling for understanding T cell signalling.

Authors:  Arup K Chakraborty; Jayajit Das
Journal:  Nat Rev Immunol       Date:  2010-01       Impact factor: 53.106

5.  A detailed mathematical model predicts that serial engagement of IgE-Fc epsilon RI complexes can enhance Syk activation in mast cells.

Authors:  Ambarish Nag; Michael I Monine; Michael L Blinov; Byron Goldstein
Journal:  J Immunol       Date:  2010-08-23       Impact factor: 5.422

6.  Stochastic ensembles, conformationally adaptive teamwork, and enzymatic detoxification.

Authors:  William M Atkins; Hong Qian
Journal:  Biochemistry       Date:  2011-04-20       Impact factor: 3.162

7.  Simple biochemical networks allow accurate sensing of multiple ligands with a single receptor.

Authors:  Vijay Singh; Ilya Nemenman
Journal:  PLoS Comput Biol       Date:  2017-04-14       Impact factor: 4.475

8.  T-Cell Mechanobiology: Force Sensation, Potentiation, and Translation.

Authors:  Devin L Harrison; Yun Fang; Jun Huang
Journal:  Front Phys       Date:  2019-04-02

Review 9.  Autoactivation of small GTPases by the GEF-effector positive feedback modules.

Authors:  Andrew B Goryachev; Marcin Leda
Journal:  F1000Res       Date:  2019-09-23
  9 in total

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