Aug 2026· Nature Communications· Vol 17· 0 citations· 72 references
Medicine
TL;DR
Dynamical network analysis is used to identify key residues involved in a dynamic allostery between the N- and C-lobes that connects the major functional units of the MAP kinase p38α, providing mechanistic insight into p38α allostery and suggesting viable opportunities for the rational design of allosteric modulators of MAP kinases.
Abstract
Kinases are major drug targets especially in cancer therapy. However, the high degree of conservation of their active sites hinders the development of selective inhibitors, motivating a deeper understanding of kinase conformational ensembles and allosteric communication pathways. Here, we use dynamical network analysis to identify key residues involved in a dynamic allostery between the N- and C-lobes that connects the major functional units of the MAP kinase p38α. By combining NMR spectroscopy, activity assays, and in silico analysis of wildtype protein and mutants in the presence or absence of an active-site inhibitor, we experimentally validate the obtained architecture with respect to global protein motion and long-range allosteric modulation. Notably, the identified network highlights communication pathways across several functional sites, prominently involving the allosteric site, the activation loop, and even the lipid-binding domain with its embedded cryptic pocket in the C-lobe. These findings provide mechanistic insight into p38α allostery and suggest viable opportunities for the rational design of allosteric modulators of MAP kinases. Here, the authors apply dynamic network analysis, alongside a set of experimental validations, to probe correlated motions within p38α kinase. The data corroborate communication between its N- and C-lobes, including in particular the lipid pocket.
This work highlights how distinct inhibitors exploit different conformational states of cKIT and demonstrates the value of integrating structural analyses, biophysical measurements, calculations and molecular simulations to define the mechanism of kinase inhibition.
Irene Cipollone, Carmen Gratteri, C. Talarico et al.· International Journal of Bio...· 0 citations
It is shown that inhibitor size and flexibility affect binding mechanisms and have implications on kinetics, distinct from previous computational studies.
A. Shinobu, Suyong Re, Hiraku Oshima et al.· Journal of Physical Chemistr...· 0 citations
The activity and abundance of >160,000 variants are quantify the activity and abundance of >160,000 variants to construct complete maps of the energetic and allosteric architectures of five human kinase domains: SRC, FGR, JNK2/MAPK9, ZAK/MAP3K20, and TSSK2.
Carla Folgado, Antoni Beltran, Ben Lehner· bioRxiv· 0 citations
Understanding how allosteric modulators influence protein dynamics is essential for guiding drug design. This work analyses a total of 45 μs of classical molecular dynamics simulations for four class A G-protein-coupled receptors (GPCRs), namely the Complement C5a receptor (C5AR1), the Purinergic Receptor P2Y (P2RY1),...
S. Peter, G. Chalhoub, Peter J. McCormick et al.· Journal of Chemical Informat...· 0 citations
This study provides potential lead compounds for the design of small-molecule allosteric drugs targeting class B1 GPCRs and performs conformational sampling and combined dynamic pocket detection algorithms, MDpocket and FTMove, to identify six characteristic cryptic pockets within the dynamic trajectories.
Zhi Dong, Long Cheng, Qingxin Shi et al.· International Journal of Bio...· 0 citations
The SARS-CoV-2 main protease (MPro) is an essential enzyme for viral replication and a primary target for antiviral drug development. Despite extensive structural and biochemical characterization, the allosteric mechanisms by which dimerization informs conformational changes at active site lack an explicit comparison a...
Javier O. Sanlley Hernandez, Carla Calvó-Tusell, Fiona L. Kearns et al.· Biophysical Journal· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.