Computational Analyses of Amino Acid Molecules in PDE7A for Elucidating their Evolutionary Diversity and Protein Interactions in Multiple Mammalian Species

This study explores the protein interactions and evolutionary conservation of phosphodiesterase type 7A (PDE7A) across different species, to identify the species with the highest similarity to humans, which has important applications in many fields such as pharmacology, comparative biology, biochemistry, oncology, endocrinology, and reproductive sciences. Computational analyses of the amino acid sequence of this enzyme revealed a common evolutionary relationship between the selected species and humans, but camels show the most variable evolutionary lineage in their PDE7A protein over time. In searches for homologous proteins, identity analysis results for four returned amino acid sequences were as follows: 91.81 ± 4.25% (mean ± SD), while the similarity between the sequences was 94.66% ± 4.55, and analysis of BLOSUM62 (Blocks Substitution Matrix 62) yielded a minimum value of 0.901 ± 0.055. All species have closely related physicochemical properties. The computational analyses revealed conserved amino acid residues of the gene across the studied species, which likely contribute to the similar expression patterns of the PDE7A gene in various animals. The findings also suggest that rats are a suitable model for gaining deeper insights into human biology.

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Publication Details

Journal
AlQalam Journal of Medical and Applied Sciences
Published
2024-10-05
DOI
https://doi.org/10.54361/ajmas.247406
Primary Topic
Machine Learning in Bioinformatics
Type
article
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article

Computational Analyses of Amino Acid Molecules in PDE7A for Elucidating their Evolutionary Diversity and Protein Interactions in Multiple Mammalian Species

Omran Algriany, Narjes El Osta, Abir M. EM Sharif
AlQalam Journal of Medical and Applied Sciences
Machine Learning in Bioinformatics
article

Computational Analyses of Amino Acid Molecules in PDE7A for Elucidating their Evolutionary Diversity and Protein Interactions in Multiple Mammalian Species

Omran Algriany, Narjes El Osta, Abir M. EM Sharif
article en

Abstract

This study explores the protein interactions and evolutionary conservation of phosphodiesterase type 7A (PDE7A) across different species, to identify the species with the highest similarity to humans, which has important applications in many fields such as pharmacology, comparative biology, biochemistry, oncology, endocrinology, and reproductive sciences. Computational analyses of the amino acid sequence of this enzyme revealed a common evolutionary relationship between the selected species and humans, but camels show the most variable evolutionary lineage in their PDE7A protein over time. In searches for homologous proteins, identity analysis results for four returned amino acid sequences were as follows: 91.81 ± 4.25% (mean ± SD), while the similarity between the sequences was 94.66% ± 4.55, and analysis of BLOSUM62 (Blocks Substitution Matrix 62) yielded a minimum value of 0.901 ± 0.055. All species have closely related physicochemical properties. The computational analyses revealed conserved amino acid residues of the gene across the studied species, which likely contribute to the similar expression patterns of the PDE7A gene in various animals. The findings also suggest that rats are a suitable model for gaining deeper insights into human biology.

AlQalam Journal of Medical and Applied Sciences
University of Tripoli (LY)
Life in Land
Openalex Percentile: Top 84%
Machine Learning in Bioinformatics
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Computational Analyses of Amino Acid Molecules in PDE7A for Elucidating their Evolutionary Diversity and Protein Interactions in Multiple Mammalian Species — Omran Algriany, Narjes El Osta, et al. · AlQalam Journal of Medical and Applied Sciences (2024) | TGRS Research Map | TGRS