ArticleProtein science : a publication of the Protein Society2019
Long-range molecular dynamics show that inactive forms of Protein Kinase A are more dynamic than active forms.
Article in Protein science : a publication of the Protein Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- A curated benchmark for cofolding models on kinase conformational states.npj drug discovery · 2026Article
- KinConfBench: A Curated Benchmark for Cofolding Models on Kinase Conformational States.bioRxiv : the preprint server for biology · 2026Article
- Structural basis for pseudokinase-mediated regulation of GCN2 in the integrated stress response.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Impact of Ruxolitinib Interactions on JAK2 JH1 Domain Dynamics.International journal of molecular sciences · 2025Article
- Deciphering the molecular choreography of Janus kinase 2 inhibition via Gaussian accelerated molecular dynamics simulations: a dynamic odyssey.Journal of computer-aided molecular design · 2024Article
- Hypervariability of accessible and inaccessible conformational space of proteins.Current research in structural biology · 2021Article
- Activation of RSK by phosphomimetic substitution in the activation loop is prevented by structural constraints.Scientific reports · 2020Article
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Abstract
Many protein kinases are characterized by at least two structural forms corresponding to the highest level of activity (active) and low or no activity, (inactive). Further, protein dynamics is an important consideration in understanding the molecular and mechanistic basis of enzyme function. In this work, we use protein kinase A (PKA) as the model system and perform microsecond range molecular dynamics (MD) simulations on six variants which differ from one another in terms of active and inactive form, with or without bound ligands, C-terminal tail and phosphorylation at the activation loop. We find that the root mean square fluctuations in the MD simulations are generally higher for the inactive forms than the active forms. This difference is statistically significant. The higher dynamics of inactive states has significant contributions from ATP binding loop, catalytic loop, and αG helix. Simulations with and without C-terminal tail show this differential dynamics as well, with lower dynamics both in the active and inactive forms if C-terminal tail is present. Similarly, the dynamics associated with the inactive form is higher irrespective of the phosphorylation status of Thr 197. A relatively stable stature of active kinases may be better suited for binding of substrates and detachment of the product. Also, phosphoryl group transfer from ATP to the phosphosite on the substrate requires precise transient coordination of chemical entities from three different molecules, which may be facilitated by the higher stability of the active state.
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