ArticleAccounts of chemical research2017
Tyrosine Kinase Activation and Conformational Flexibility: Lessons from Src-Family Tyrosine Kinases.
Article in Accounts of chemical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 82 citations in OpenAlex.
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- Machine Learning and Integrative Structural Dynamics Identify Potent ALK Inhibitors from Natural Compound Libraries.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Prospective Evaluation of Structure-Based Simulations Reveal Their Ability to Predict the Impact of Kinase Mutations on Inhibitor Binding.The journal of physical chemistry. B · 2025Article
- Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding.bioRxiv : the preprint server for biology · 2025Article
- Investigating Potential Biomarkers of Ankylosing Spondylitis: A Study on Mitochondrial and Senescence Pathways Using Machine Learning.Journal of inflammation research · 2025Article
- A Fast Method to Monitor Tyrosine Kinase Inhibitor Mechanisms.Journal of medicinal chemistry · 2024Article
- Improving docking and virtual screening performance using AlphaFold2 multi-state modeling for kinases.Scientific reports · 2024Article
- VIK-Mediated Auxin Signaling Regulates Lateral Root Development in Arabidopsis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Low concentrations of saracatinib promote definitive endoderm differentiation through inhibition of FAK-YAP signaling axis.Cell communication and signaling : CCS · 2024Article
- Kisspeptin-10 binding to Gpr54 in osteoclasts prevents bone loss by activating Dusp18-mediated dephosphorylation of Src.Nature communications · 2024Article
- Article
- Review
- Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome.Journal of chemical information and modeling · 2023Article
- Src inhibition induces mitotic arrest associated with chromosomal passenger complex.Cell and tissue research · 2023Article
- Controlling Ibrutinib's Conformations about Its Heterobiaryl Axis to Increase BTK Selectivity.ACS medicinal chemistry letters · 2023Article
- Probing conformational landscapes and mechanisms of allosteric communication in the functional states of the ABL kinase domain using multiscale simulations and network-based mutational profiling of allosteric residue potentials.The Journal of chemical physics · 2022Article
- Dissecting the molecular mechanism of cepharanthine against COVID-19, based on a network pharmacology strategy combined with RNA-sequencing analysis, molecular docking, and molecular dynamics simulation.Computers in biology and medicine · 2022Article
- Mechanical force can enhance c-Src kinase activity by impairing autoinhibition.Biophysical journal · 2022Article
- Dynamic equilibria in protein kinases.Current opinion in structural biology · 2021Review
- Activation of Abl1 Kinase Explored Using Well-Tempered Metadynamics Simulations on an Essential Dynamics Sampled Path.Journal of chemical theory and computation · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Protein kinases are enzymes that catalyze the covalent transfer of the γ-phosphate of an adenosine triphosphate (ATP) molecule onto a tyrosine, serine, threonine, or histidine residue in the substrate and thus send a chemical signal to networks of downstream proteins. They are important cellular signaling enzymes that regulate cell growth, proliferation, metabolism, differentiation, and migration. Unregulated protein kinase activity is often associated with a wide range of diseases, therefore making protein kinases major therapeutic targets. A prototypical system of central interest to understand the regulation of kinase activity is provided by tyrosine kinase c-Src, which belongs to the family of Src-related non-receptor tyrosine kinases (SFKs). Although the broad picture of autoinhibition via the regulatory domains and via the phosphorylation of the C-terminal tail is well characterized from a structural point of view, a detailed mechanistic understanding at the atomic-level is lacking. Advanced computational methods based on all-atom molecular dynamics (MD) simulations are employed to advance our understanding of tyrosine kinase activation. The computational studies suggest that the isolated kinase domain (KD) is energetically most favorable in the inactive conformation when the activation loop (A-loop) of the KD is not phosphorylated. The KD makes transient visits to a catalytically competent active-like conformation. The process of bimolecular trans-autophosphorylation of the A-loop eventually locks the KD in the active state. Activating point mutations may act by slightly increasing the population of the active-like conformation, enhancing the availability of the A-loop to be phosphorylated. The Src-homology 2 (SH2) and Src-homology 3 (SH3) regulatory domains, depending upon their configuration, either promote the inactive or the active state of the kinase domain. In addition to the roles played by the SH3, SH2, and KD, the Src-homology 4-Unique domain (SH4-U) region also serves as a key moderator of substrate specificity and kinase function. Thus, a fundamental understanding of the conformational propensity of the SH4-U region and how this affects the association to the membrane surface are likely to lead to the discovery of new intermediate states and alternate strategies for inhibition of kinase activity for drug discovery. The existence of a multitude of KD conformations poses a great challenge aimed at the design of specific inhibitors. One promising computational strategy to explore the conformational flexibility of the KD is to construct Markov state models from aggregated MD data.
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