Literature DB >> 25438322

Prediction of Tubulin Resonant Frequencies Using the Resonant Recognition Model (RRM).

Irena Cosic, Katarina Lazar, Drasko Cosic.   

Abstract

Tubulin proteins were analyzed using the Resonant Recognition Model to predict possible electromagnetic resonances in tubulin and microtubules. We propose that these electromagnetic resonances are caused by charge transfer through the protein molecule. The frequencies of these electromagnetic resonances depend on charge velocity. Using different velocities of charge transfer, we predicted resonant frequencies in different frequency ranges from KHz to THz. These resonant frequencies could be relevant for taxol binding as well as a possible role of microtubules as a macromolecular computer.

Entities:  

Year:  2014        PMID: 25438322     DOI: 10.1109/TNB.2014.2365851

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  6 in total

1.  Prediction of intrinsically disordered regions in proteins using signal processing methods: application to heat-shock proteins.

Authors:  Vuk Vojisavljevic; Elena Pirogova
Journal:  Med Biol Eng Comput       Date:  2016-04-01       Impact factor: 2.602

2.  Novel Cosic resonance (standing wave) solutions for components of the JAK-STAT cellular signaling pathway: A convergence of spectral density profiles.

Authors:  Lukasz M Karbowski; Nirosha J Murugan; Michael A Persinger
Journal:  FEBS Open Bio       Date:  2015-03-25       Impact factor: 2.693

Review 3.  An Overview of Sub-Cellular Mechanisms Involved in the Action of TTFields.

Authors:  Jack A Tuszynski; Cornelia Wenger; Douglas E Friesen; Jordane Preto
Journal:  Int J Environ Res Public Health       Date:  2016-11-12       Impact factor: 3.390

4.  Epidemiological Mucormycosis treatment and diagnosis challenges using the adaptive properties of computer vision techniques based approach: a review.

Authors:  Harekrishna Kumar
Journal:  Multimed Tools Appl       Date:  2022-02-25       Impact factor: 2.577

5.  Environmental Light and Its Relationship with Electromagnetic Resonances of Biomolecular Interactions, as Predicted by the Resonant Recognition Model.

Authors:  Irena Cosic; Drasko Cosic; Katarina Lazar
Journal:  Int J Environ Res Public Health       Date:  2016-06-29       Impact factor: 3.390

Review 6.  Cell Responsiveness to Physical Energies: Paving the Way to Decipher a Morphogenetic Code.

Authors:  Riccardo Tassinari; Claudia Cavallini; Elena Olivi; Federica Facchin; Valentina Taglioli; Chiara Zannini; Martina Marcuzzi; Carlo Ventura
Journal:  Int J Mol Sci       Date:  2022-03-15       Impact factor: 5.923

  6 in total

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