IDENTIFICATION OF A UNIQUE CYP450 STRUCTURE IN THE SAUDI MOMOUVIRUS AMOEBOPHAGE USING ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS

ALQURASHI, YASIR MOHAMMED A.

doi:10.21608/jesp.2025.447378

IDENTIFICATION OF A UNIQUE CYP450 STRUCTURE IN THE SAUDI MOMOUVIRUS AMOEBOPHAGE USING ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS

Author

YASIR MOHAMMED A. ALQURASHI

Department of Medical Laboratory, College of Applied Medical Sciences, Taibah University, Yanbu, 46422, Saudi Arabia

10.21608/jesp.2025.447378

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