Re-visiting lactate dehydrogenase from a different dimension: a model bioinformatics study for wrestling-Reference-Cited by-同舟云学术

Re-visiting lactate dehydrogenase from a different dimension: a model bioinformatics study for wrestling

Published:2023-06-30 Issue:1 Volume:32 Page:17-23
ISSN:2687-3761
Container-title:Biotech Studies
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Author:

CAVAS Levent¹^ORCID,DAGLİOGLU Onder²^ORCID,CAVAS Bülent³^ORCID

Affiliation:

1. DOKUZ EYLUL UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF CHEMISTRY

2. Gaziantep University, Faculty of Sport Sciences, Department of Physical Education and Sports

3. Dokuz Eylül University, Faculty of Education, Department of Science Teaching

Abstract

Sports bioinformatics is of great importance in the understanding of sports performance from different perspectives. Accumulated bio-sequences in databases provide considerable contributions to compare proteins in different organisms. In Kingdom of Animalia, some animals have experienced evolution for excellent athletic performances in nature. The present paper exhibits a model in silico approach for the evaluation of sports performance by comparing lactate dehydrogenases (LDH) in humans (Homo sapiens) and saltwater crocodiles (Crocodylus porosus). The results show that a high sequence similarity is observed between the LDHs from H. sapiens and C. porosus with minor modifications. The stability and grand averages of hydrophobicity index values for studied LDHs were found as 24.79–25.18 and -0.006 –0.020 in H. sapiens and C. porosus, respectively. In conclusion, the identification of amino acid modifications in important enzymes of specific animals that are related to sports physiology are lessons we learn from from nature, which can open a new gate for the development of sports performance and talent selection.

Publisher

Field Crops Central Research Institute

Reference29 articles.

1. Alam, M. T., Olin-Sandoval, V., Stincone, A., Keller, M. A., Zelezniak, A., Luisi, B. F., & Ralser, M. (2017). The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization. Nature Communications, 8(1), 1-13. https://doi.org/10.1038/ncomms16018

2. Baldwin J., Seymour R. S., Webb G. J. W. (1995). Scaling of anaerobic metabolism during exercise in the estuarine crocodile (Crocodylus porosus). Comparative Biochemistry and Physiolology A, 112, 285-293. https://doi.org/10.1016/0300-9629(95)00100-X

3. Barranco, T., Tvarijonaviciute, A., Tecles, F., Carrillo, J. M., Sánchez-Resalt, C., Jimenez-Reyes, P., Rubio M., García-Balletbó M., Cerón J. J., & Cugat, R. (2017). Changes in creatine kinase, lactate dehydrogenase and aspartate aminotransferase in saliva samples after an intense exercise: a pilot study. The Journal of Sports Medicine and Physical Fitness, 58(6), 910-916. https://doi.org/10.23736/S0022-4707.17.07214-0

4. Bennett A. F., Seymour R. S., Bradford D. F., Webb G. J. W. (1985). Mass-dependence of anaerobic metabolism and acid-base disturbance during activity in the salt-water crocodile, Crocodylus porosus. Journal of Experimental Biology, 118, 161-171. https://doi.org/10.1242/jeb.118.1.161

5. Berman, H. M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T. N., Weissig, H., & Bourne, P. E. (2000). The protein data bank. Nucleic Acids Research, 28(1), 235-242. https://doi.org/10.1093/nar/28.1.235