journal article·2019-11-28Open access

Analysis of Protein–Receptor Interactions on an Example of Leptin–Leptin Receptor Interaction Using the Resonant Recognition Model

Irena Cosic, Vasilis Paspaliaris, Drasko Cosic

Applied Sciences· Volume 9· Issue 23

Abstract

Obesity is a medical condition in which excess body fat may have a negative effect on health and lifestyle, and it is becoming an increasing problem within modern society. Leptin is the key protein that regulates body energy balance by inhibiting hunger, and it could potentially be used in treatment of obesity and overweight. Here, we applied our own Resonant Recognition Model, which is capable of analyzing the selectivity of any protein–receptor interaction on an example of leptin–leptin receptor. We have identified a specific characteristic parameter for leptin activity through the leptin receptor, and this parameter could be used in development of new treatments for obesity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Fractal and DNA sequence analysis · Biochemical Analysis and Sensing Techniques · Machine Learning in Bioinformatics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

AMALNA Consulting, Black Rock, Melbourne VIC 3193, Australia

College of Science, Engineering and Health, RMIT University, Melbourne VIC 3000, Australia

Tithon Biotech Inc., San Diego, CA 92127, USA

References (27)

Show source-provided references
1. Macromolecular Bioactivity: Is it Resonant Interaction between Macromolecules? Theory and Applications10.1109/10.335859 ↗
2. Virtual spectroscopy for fun and profit
3. Cosic, I. (1997). The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications, Birkhauser Verlag.10.1007/978-3-0348-7475-5 ↗
4. In vitro inhibition of the actions of basic FGF by novel 16 amino acid peptides10.1007/BF01084262 ↗
5. Balancing insulin stability and activity—Rational approach
6. Cosic, I., Cosic, D., and Lazar, K. (2015). Analysis of Tumor Necrosis Factor Function Using the Resonant Recognition Model. Cell Biochem. Biophys.10.1007/s12013-015-0716-3 ↗
7. Analysis of Interleukin-12 and Interleukin-23 Pathways to Distinguish between Immune Activation and Inflammation Functions
9. Overweight, obesity, and depression: A systematic review and meta-analysis of longitudinal studies10.1001/archgenpsychiatry.2010.2 ↗
10. Obesity genetics in mouse and human: Back and forth, and back again10.7717/peerj.856 ↗
11. Drug Insight: The Role of Leptin in Human Physiology and Pathophysiology—Emerging Clinical Applications10.1038/ncpendmet0196 ↗
12. Leptin Replacement Alters Brain Response to Food Cues in Genetically Leptin-Deficient Adults10.1073/pnas.0706481104 ↗
13. Prediction of Tubulin resonant frequencies using the Resonant Recognition Model (RRM)10.1109/TNB.2014.2365851 ↗
14. Cosic, I., Cosic, D., and Lazar, K. (2015). Is it possible to predict electromagnetic resonances in proteins, DNA and RNA?. Nonlinear Biomed. Phys., 3.10.1140/epjnbp/s40366-015-0020-6 ↗
15. Cosic, I., Cosic, D., and Lazar, K. (2016). Environmental Light and Its Relationship with Electromagnetic Resonances of Biomolecular Interactions, as Predicted by the Resonant Recognition Model. Int. J. Environ. Res. Public Health, 13.10.3390/ijerph13070647 ↗
16. Cosic, I., and Cosic, D. (2016). The Treatment of Crigler-Najjar Syndrome by Blue Light as Explained by Resonant Recognition Model. EPJ Nonlinear Biomed. Phys., 4.10.1140/epjnbp/s40366-016-0036-6 ↗
17. The Effect of Electromagnetic Radiation (550nm-850nm) on I-Lactate Dehydrogenase Kinetics10.1080/09553000701227565 ↗
18. Dotta, B.T., Murugan, N.J., Karbowski, L.M., Lafrenie, R.M., and Persinger, M.A. (2014). Shifting wavelength of ultraweak photon emissions from dying melanoma cells: Their chemical enhancement and blocking are predicted by Cosic’s theory of resonant recognition model for macromolecules. Naturwissenschaften, 101.10.1007/s00114-013-1133-3 ↗
19. Cosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for Treatment10.4236/ojbiphy.2015.51003 ↗
20. Novel Cosic resonance (standing wave) solutions for components of the JAK-STAT cellular signalling pathway: A convergence of spectral density profiles10.1016/j.fob.2015.03.004 ↗
21. Cosic, I., Paspaliaris, V., and Cosic, D. (2019). Explanation of Osteoblastic Differentiation of Stem Cells by Photo Biomodulation Using the Resonant Recognition Model. Appl. Sci., 9.10.3390/app9101979 ↗
22. Investigation Into the Cross-reactivity of Rabbit Antibodies Raised against Nonhomologous Pairs of Synthetic Peptides Derived from HIV-1 gp120 proteins10.1111/j.1399-3011.1998.tb00665.x ↗
23. Hearn, M.T.W., Biquard, J.M., Cosic, I., and Krsmanovic, V. (2001). Peptides Immunologically related to proteins expressed by a viral agent, having a sequence of amino acids ordered by means of protein informational method. (6,294,174), US Patent.
24. Induction of Human Immunodeficiency Virus (HIV-1) Envelope Specific Cell-Mediated Immunity by a Non-Homologus Synthetic Peptide
25. Advances in Methods for Therapeutic Peptide Discovery, Design and Development10.2174/138920111796117436 ↗
26. Investigation of cytotoxicity of negative control peptides versus bioactive peptides on skin cancer and normal cells: A comparative study10.4155/fmc.12.98 ↗
27. Biological effects of a De Novo designed myxoma virus peptide analogue: Evaluation of cytotoxicity on tumor cells10.1371/journal.pone.0024809 ↗