Figures
Negative cooperativity identified by global measurements and kinetic discrimination
Cooperativity has an important role in regulating signaling responses. One of its forms, negative cooperativity, cannot be distinguished from two independent and different binding events based on equilibrium measurements only. Sevlever et al reports a computational work on the discrimination between these two scenarios. The methodology uses both steady-state and kinetic information, and both local and global information, global because it uses data form the complete dose-response curve. This study is not exclusive to ligand-receptor binding, it holds whenever two or more molecules undergo two successive binding events and the proposed method helps unveiling the microscopic details behind the data.
Image Credit: Axel Hernán Mazzeo and Federico Sevlever
Citation: (2020) PLoS Computational Biology Issue Image | Vol. 16(6) July 2020. PLoS Comput Biol 16(6): ev16.i06. https://doi.org/10.1371/image.pcbi.v16.i06
Published: July 6, 2020
Copyright: © 2020 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Cooperativity has an important role in regulating signaling responses. One of its forms, negative cooperativity, cannot be distinguished from two independent and different binding events based on equilibrium measurements only. Sevlever et al reports a computational work on the discrimination between these two scenarios. The methodology uses both steady-state and kinetic information, and both local and global information, global because it uses data form the complete dose-response curve. This study is not exclusive to ligand-receptor binding, it holds whenever two or more molecules undergo two successive binding events and the proposed method helps unveiling the microscopic details behind the data.
Image Credit: Axel Hernán Mazzeo and Federico Sevlever