Research Article

In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology

Volume: 8 Number: 5 September 15, 2025
TR EN

In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology

Abstract

This study aimed to evaluate the molecular-level interactions between six Coronary artery disease (CAD)-associated amino acids (L-arginine, L-cystine, L-asparagine, L-isoleucine, L-leucine, and trans-4-hydroxyproline) and four cardiovascular target proteins (Angiotensin-converting enzyme (ACE)–1O86, Endothelial nitric oxide synthase (eNOS)–3NOS, β₁-adrenergic receptor (β₁-AR)–2VT4, and Transient Receptor Potential Vanilloid 2 (TRPV2)–8FFM). Ligands were prepared using Schrödinger LigPrep, and proteins were optimized with the Protein Preparation Wizard. Molecular docking simulations were conducted using the Glide SP and XP algorithms. Binding affinities were calculated using GlideScore. Hydrogen bonds, ionic interactions, metal coordination, and π–alkyl contacts were analyzed via Maestro visualization software. L-cystine exhibited high binding affinity with all target proteins, showing particularly strong interactions with ACE (−10.663 kcal/mol) and eNOS (−6.735 kcal/mol). Trans-4-hydroxyproline also displayed favorable binding, supported by extensive hydrogen bonding and zinc coordination. In contrast, hydrophobic amino acids such as L-isoleucine and L-leucine showed weaker interactions. ACE presented the most favorable binding environment for the selected ligands. The strong binding affinities of L-cystine and trans-4-hydroxyproline, particularly to ACE and eNOS, suggest their potential as candidate inhibitors. These effects may be attributed to disulfide bridge formation and hydrogen bond capacity, respectively, which contribute to enhanced binding stability. L-cystine and trans-4-hydroxyproline emerge as promising inhibitor candidates for key cardiovascular proteins implicated in CAD. These findings underscore the potential of amino acid–based therapeutic modulation and provide valuable insight for rational drug design and biomarker development in cardiovascular disease.

Keywords

Ethical Statement

Ethics committee approval was not obtained as no studies on animals or humans were conducted in this study.

References

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Details

Primary Language

English

Subjects

Biologically Active Molecules, Proteins and Peptides

Journal Section

Research Article

Early Pub Date

September 11, 2025

Publication Date

September 15, 2025

Submission Date

July 17, 2025

Acceptance Date

September 11, 2025

Published in Issue

Year 2025 Volume: 8 Number: 5

APA
Dikme, R., & Necip, A. (2025). In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology. Black Sea Journal of Engineering and Science, 8(5), 1652-1658. https://doi.org/10.34248/bsengineering.1744802
AMA
1.Dikme R, Necip A. In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology. BSJ Eng. Sci. 2025;8(5):1652-1658. doi:10.34248/bsengineering.1744802
Chicago
Dikme, Reşat, and Adem Necip. 2025. “In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology”. Black Sea Journal of Engineering and Science 8 (5): 1652-58. https://doi.org/10.34248/bsengineering.1744802.
EndNote
Dikme R, Necip A (September 1, 2025) In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology. Black Sea Journal of Engineering and Science 8 5 1652–1658.
IEEE
[1]R. Dikme and A. Necip, “In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology”, BSJ Eng. Sci., vol. 8, no. 5, pp. 1652–1658, Sept. 2025, doi: 10.34248/bsengineering.1744802.
ISNAD
Dikme, Reşat - Necip, Adem. “In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology”. Black Sea Journal of Engineering and Science 8/5 (September 1, 2025): 1652-1658. https://doi.org/10.34248/bsengineering.1744802.
JAMA
1.Dikme R, Necip A. In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology. BSJ Eng. Sci. 2025;8:1652–1658.
MLA
Dikme, Reşat, and Adem Necip. “In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology”. Black Sea Journal of Engineering and Science, vol. 8, no. 5, Sept. 2025, pp. 1652-8, doi:10.34248/bsengineering.1744802.
Vancouver
1.Reşat Dikme, Adem Necip. In Silico Assessment of Amino Acid–Protein Interactions in Coronary Artery Disease: Molecular Insights for Functional Biology. BSJ Eng. Sci. 2025 Sep. 1;8(5):1652-8. doi:10.34248/bsengineering.1744802

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