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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.02909 |
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| _version_ | 1866917629850025984 |
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| author | Kannan, Vedh |
| author_facet | Kannan, Vedh |
| contents | In protein structure analysis, the accurate characterization of secondary structure elements is crucial for understanding protein function and dynamics. This paper presents a software system designed for the comprehensive analysis of the secondary structure of protein models. Leveraging phi (ϕ) and psi (ψ) torsion angles, the system utilises K-means clustering and outlier detection techniques to identify and classify folding structures within protein models. Through the visualisation of the Ramachandran plot, the software enables the differentiation of various secondary structure motifs, including alpha-helices, beta-sheets, and other structural elements. The incorporation of customisable threshold values facilitates the identification of outliers, providing insights into potential structural anomalies or misalignments within protein models. Overall, this software system offers researchers a powerful tool for comprehensive secondary structure analysis, to aid in enhancing understanding of protein structures created using both traditional methods such as X-Ray Diffraction and contemporary methods such as Artificial Intelligence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02909 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Comprehensive System for Secondary Structure Analysis of Protein Models Kannan, Vedh Biomolecules In protein structure analysis, the accurate characterization of secondary structure elements is crucial for understanding protein function and dynamics. This paper presents a software system designed for the comprehensive analysis of the secondary structure of protein models. Leveraging phi (ϕ) and psi (ψ) torsion angles, the system utilises K-means clustering and outlier detection techniques to identify and classify folding structures within protein models. Through the visualisation of the Ramachandran plot, the software enables the differentiation of various secondary structure motifs, including alpha-helices, beta-sheets, and other structural elements. The incorporation of customisable threshold values facilitates the identification of outliers, providing insights into potential structural anomalies or misalignments within protein models. Overall, this software system offers researchers a powerful tool for comprehensive secondary structure analysis, to aid in enhancing understanding of protein structures created using both traditional methods such as X-Ray Diffraction and contemporary methods such as Artificial Intelligence. |
| title | A Comprehensive System for Secondary Structure Analysis of Protein Models |
| topic | Biomolecules |
| url | https://arxiv.org/abs/2404.02909 |