<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Formal concept analysis (FCA) is a method based on lattice theory, widely used for data visualization, data analysis and knowledge discovery. Amino acids (AAs) are chemical molecules that constitute the proteins. In this paper is presented a new and easy way of visualizing of the structure and properties of AAs. In addition, we performed a new Hydrophobic-Polar classification of AAs using FCA. For this, the 20 proteinogenic AAs were clustered, classified by hydrophobicity and visualized in Hasse-diagrams. Exploring and processing the dataset was done with Elba and ToscanaJ, some FCA tools and Conceptual Information System (CIS).</p></abstract>

Formal concept analysis (FCA) is a method based on lattice theory, widely used for data visualization, data analysis and knowledge discovery. Amino acids (AAs) are chemical molecules that constitute the proteins. In this paper is presented a new and easy way of visualizing of the structure and properties of AAs. In addition, we performed a new Hydrophobic-Polar classification of AAs using FCA. For this, the 20 proteinogenic AAs were clustered, classified by hydrophobicity and visualized in Hasse-diagrams. Exploring and processing the dataset was done with Elba and ToscanaJ, some FCA tools and Conceptual Information System (CIS).

Formal concept analysis for amino acids classification and visualization

Acta Universitatis Sapientiae, Informatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Formal concept analysis for amino acids classification and visualization"}

Formal concept analysis (FCA) is a method based on lattice theory, widely used for data visualization, data analysis and knowledge discovery. Amino acids (AAs)...

Formal concept analysis for amino acids classification and visualization

Online veröffentlicht: 16. Juli 2020

Seitenbereich: 22 - 38

Eingereicht: 11. Nov. 2019

Akzeptiert: 06. Jan. 2020

DOI: https://doi.org/10.2478/ausi-2020-0002

Schlüsselwörter
formal concepts, lattices, proteins, amino acids, scales, organic compounds

© 2020 Adrian-Sorin Telcian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Formal concept analysis for amino acids classification and visualization

Online veröffentlicht: 16. Juli 2020

Seitenbereich: 22 - 38

Eingereicht: 11. Nov. 2019

Akzeptiert: 06. Jan. 2020

DOI: https://doi.org/10.2478/ausi-2020-0002

Schlüsselwörterformal concepts, lattices, proteins, amino acids, scales, organic compounds

© 2020 Adrian-Sorin Telcian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
formal concepts, lattices, proteins, amino acids, scales, organic compounds