IDENTIFICATION OF A UNIQUE CYP450 STRUCTURE IN THE SAUDI MOMOUVIRUS AMOEBOPHAGE USING ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS | ||||
| Journal of the Egyptian Society of Parasitology | ||||
| Article 2, Volume 55, Issue 2, August 2025, Page 151-160 PDF (852.96 K) | ||||
| DOI: 10.21608/jesp.2025.447378 | ||||
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| Author | ||||
YASIR MOHAMMED A. ALQURASHI 
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| Department of Medical Laboratory, College of Applied Medical Sciences, Taibah University, Yanbu, 46422, Saudi Arabia | ||||
| Abstract | ||||
| The Saudi moumouvirus amoebophage was detected in 2016 in Acanthamoeba polyphaga. Although the whole genome of the virus has been sequenced, most of the virus genes and gene products are not characterized to date. The virus’s genome contains a gene encoding a cyto chrome P450 enzyme which has been shown to produce confliction annotation and classification. The classification of CYP450 enzymes is based on the homology of the protein sequence while protein characterization is based normally on experimentation. Computational approaches have been shown to be a practical and highly accurate approach for characterizing proteins especially in the context of unusual proteins to overcome the flaws of experimental protein structure. Using artificial intelligence and bioinformatic tools, the current study identified this CYP450 (named CYP503 fused to 20G-fe (II) oxygenase domain) as a unique self-sufficient CYP450 enzyme, a class of biocatalysts renowned for their significant potential in biotechnological applications. | ||||
| Keywords | ||||
| Saudi Arabia; Acanthamoeba polyphaga; Artificial intelligence; Bioinformatics | ||||
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