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Giant hub Src and Syk tyrosine kinase thermodynamic profiles recapitulate evolution

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  • Phillips, J.C.

Abstract

Thermodynamic scaling theory, previously applied mainly to small proteins, here analyzes quantitative evolution of the titled functional network giant hub enzymes. The broad domain structure identified homologically is confirmed hydropathically using amino acid sequences only. The most surprising results concern the evolution of the tyrosine kinase globular surface roughness from avians to mammals, which is first order, compared to the evolution within mammals from rodents to humans, which is second order. The mystery of the unique amide terminal region of proto oncogene tyrosine protein kinase is resolved by the discovery there of a rare hydroneutral septad targeting cluster, which is paralleled by an equally rare octad catalytic cluster in tyrosine kinase in humans and a few other species (cat and dog). These results, which go far towards explaining why these proteins are among the largest giant hubs in protein interaction networks, use no adjustable parameters.

Suggested Citation

  • Phillips, J.C., 2017. "Giant hub Src and Syk tyrosine kinase thermodynamic profiles recapitulate evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 330-336.
    • Handle: RePEc:eee:phsmap:v:483:y:2017:i:c:p:330-336
    DOI: 10.1016/j.physa.2017.04.180
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    References listed on IDEAS

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    1. Phillips, J.C., 2014. "Fractals and self-organized criticality in anti-inflammatory drugs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 538-543.
    2. Sachdeva, Vedant & Phillips, James C., 2016. "Oxygen channels and fractal wave–particle duality in the evolution of myoglobin and neuroglobin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 1-11.
    3. Phillips, J.C., 2016. "Autoantibody recognition mechanisms of p53 epitopes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 162-170.
    4. Phillips, J.C., 2014. "Fractals and self-organized criticality in proteins," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 440-448.
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