Literature DB >> 32497065

Discriminating between negative cooperativity and ligand binding to independent sites using pre-equilibrium properties of binding curves.

Federico Sevlever1,2, Juan Pablo Di Bella1,2, Alejandra C Ventura1,2.   

Abstract

Negative cooperativity is a phenomenon in which the binding of a first ligand or substrate molecule decreases the rate of subsequent binding. This definition is not exclusive to ligand-receptor binding, it holds whenever two or more molecules undergo two successive binding events. Negative cooperativity turns the binding curve more graded and cannot be distinguished from two independent and different binding events based on equilibrium measurements only. The need of kinetic data for this purpose was already reported. Here, we study the binding response as a function of the amount of ligand, at different times, from very early times since ligand is added and until equilibrium is reached. Over those binding curves measured at different times, we compute the dynamic range: the fold change required in input to elicit a change from 10 to 90% of maximum output, finding that it evolves in time differently and controlled by different parameters in the two situations that are identical in equilibrium. Deciphering which is the microscopic model that leads to a given binding curve adds understanding on the molecular mechanisms at play, and thus, is a valuable tool. The methods developed in this article were tested both with simulated and experimental data, showing to be robust to noise and experimental constraints.

Entities:  

Year:  2020        PMID: 32497065     DOI: 10.1371/journal.pcbi.1007929

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  2 in total

1.  The archaeal glutamate transporter homologue GltPh shows heterogeneous substrate binding.

Authors:  Krishna D Reddy; Didar Ciftci; Amanda J Scopelliti; Olga Boudker
Journal:  J Gen Physiol       Date:  2022-04-22       Impact factor: 4.000

2.  The Use of the Statistical Entropy in Some New Approaches for the Description of Biosystems.

Authors:  Vladimir V Aristov; Anatoly S Buchelnikov; Yury D Nechipurenko
Journal:  Entropy (Basel)       Date:  2022-01-24       Impact factor: 2.524

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.