Bioinformatics Approaches for the Molecular Characterization and Structural Elucidation of a Hypothetical Protein of Aedes albopictus

The most critical issues in computational biology are characterizing and predicting uncharacterized proteins’ secondary and tertiary structures from their uploaded amino acid sequences in databases. Aedes albopictus (A. albopictus), sometimes referred to as the Asian tiger mosquito or forest mosquito and the carrier of dengue-like diseases, has many proteins, many of which are still poorly understood. The current work aims at elucidating the physicochemical properties and structures of the as-yet-uncharacterized A. albopictus protein AEW48448.1. ExPASy Protaram, CD Search, SOPMA, PSIPRED, and other advanced computerized tools were used following the standard flowchart for characterizing a hypothetical protein to ascertain the roles and structures of AEW48448.1. After identifying the protein’s secondary and tertiary structures, the structures were evaluated for quality using tools like PROCHECK and the ProSA-web. Later, the active site was also discovered using CASTp v3.0. The protein is more stable because it has a higher aliphatic index value and more negatively charged than positively charged residues. The modeling of the proteins’ 2D and 3D structures using multiple bioinformatics tools confirmed that they had domains, indicating that they were functional proteins involved in the host’s antiviral, cytokine, and interferon production pathways. Additionally, the protein was revealed to have active regions where ligands may bind. This work aims at elucidating the characteristics and structures of an uncharacterized A. albopictus protein that may serve as a therapeutic target for the creation of antiviral candidates and vaccines.

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Published
2024-08-19
DOI
https://doi.org/10.3390/engproc2024067014
Citations
3
Primary Topic
Computational Drug Discovery Methods
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article
Field-Weighted Citation Impact
1.08
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article

Bioinformatics Approaches for the Molecular Characterization and Structural Elucidation of a Hypothetical Protein of Aedes albopictus

Abu Saim Mohammad Saikat, Mamun Al Asad, Surya Afrin Shorna, Md. Mizan et al.
3 citations
Computational Drug Discovery Methods
1.08
article

Bioinformatics Approaches for the Molecular Characterization and Structural Elucidation of a Hypothetical Protein of Aedes albopictus

Abu Saim Mohammad Saikat, Mamun Al Asad, Surya Afrin Shorna, Md. Mizan, Md. Ekhlas Uddin, Rajib Deb Nath
article en
3 citations

Abstract

The most critical issues in computational biology are characterizing and predicting uncharacterized proteins’ secondary and tertiary structures from their uploaded amino acid sequences in databases. Aedes albopictus (A. albopictus), sometimes referred to as the Asian tiger mosquito or forest mosquito and the carrier of dengue-like diseases, has many proteins, many of which are still poorly understood. The current work aims at elucidating the physicochemical properties and structures of the as-yet-uncharacterized A. albopictus protein AEW48448.1. ExPASy Protaram, CD Search, SOPMA, PSIPRED, and other advanced computerized tools were used following the standard flowchart for characterizing a hypothetical protein to ascertain the roles and structures of AEW48448.1. After identifying the protein’s secondary and tertiary structures, the structures were evaluated for quality using tools like PROCHECK and the ProSA-web. Later, the active site was also discovered using CASTp v3.0. The protein is more stable because it has a higher aliphatic index value and more negatively charged than positively charged residues. The modeling of the proteins’ 2D and 3D structures using multiple bioinformatics tools confirmed that they had domains, indicating that they were functional proteins involved in the host’s antiviral, cytokine, and interferon production pathways. Additionally, the protein was revealed to have active regions where ligands may bind. This work aims at elucidating the characteristics and structures of an uncharacterized A. albopictus protein that may serve as a therapeutic target for the creation of antiviral candidates and vaccines.

Khulna University (BD), Gopalganj Science and Technology University (BD), Bangladesh Agricultural University (BD), Gono University (BD), Islamic University (BD)
Life in Land
Openalex Percentile: Top 20%
Computational Drug Discovery Methods
1.08
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