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GUD-VE visualization tool for physicochemical properties of proteins
The physicochemical properties of primary sequences of proteins helps in determining both the structure and biological functions. The sequence analysis of the proteins and nucleic acids is most fundamental element of bioinformatics. Without these elements, it is impossible to gain insight deeper mol...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326500/ https://www.ncbi.nlm.nih.gov/pubmed/37424755 http://dx.doi.org/10.1016/j.mex.2023.102226 |
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author | Chauhan, Ritu Bhattacharya, Juhi Solanki, Rubi Ahmad, Farhan Jalees Alankar, Bhavya Kaur, Harleen |
author_facet | Chauhan, Ritu Bhattacharya, Juhi Solanki, Rubi Ahmad, Farhan Jalees Alankar, Bhavya Kaur, Harleen |
author_sort | Chauhan, Ritu |
collection | PubMed |
description | The physicochemical properties of primary sequences of proteins helps in determining both the structure and biological functions. The sequence analysis of the proteins and nucleic acids is most fundamental element of bioinformatics. Without these elements, it is impossible to gain insight deeper molecular and biochemical mechanisms. For this purpose, the computational methods like bioinformatics tools assist experts and novices alike in resolving issues relating to protein analysis. Similarly, this proposed work, for the graphical user interface (GUI) based prediction and visualization through the computations-based method done on Jupyter Notebook with tkinter package which allows the creation of a program on a local host platform and accessed by the programmer. • When it is queried with a protein sequence, it predicts physicochemical parameters of the peptides. • Users can choose to visualize the findings acquired either anonymously or on the user-specified email address and compare the biophysical properties of one protein with other using amino acids (AA) sequences. The aim of this paper is to meet the requirements of experimentalists, not just hardcore bioinformaticians related to biophysical properties prediction and comparison with other proteins. The code for it has been uploaded on GitHub (an online repository of codes) in private mode. |
format | Online Article Text |
id | pubmed-10326500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103265002023-07-08 GUD-VE visualization tool for physicochemical properties of proteins Chauhan, Ritu Bhattacharya, Juhi Solanki, Rubi Ahmad, Farhan Jalees Alankar, Bhavya Kaur, Harleen MethodsX Bioinformatics The physicochemical properties of primary sequences of proteins helps in determining both the structure and biological functions. The sequence analysis of the proteins and nucleic acids is most fundamental element of bioinformatics. Without these elements, it is impossible to gain insight deeper molecular and biochemical mechanisms. For this purpose, the computational methods like bioinformatics tools assist experts and novices alike in resolving issues relating to protein analysis. Similarly, this proposed work, for the graphical user interface (GUI) based prediction and visualization through the computations-based method done on Jupyter Notebook with tkinter package which allows the creation of a program on a local host platform and accessed by the programmer. • When it is queried with a protein sequence, it predicts physicochemical parameters of the peptides. • Users can choose to visualize the findings acquired either anonymously or on the user-specified email address and compare the biophysical properties of one protein with other using amino acids (AA) sequences. The aim of this paper is to meet the requirements of experimentalists, not just hardcore bioinformaticians related to biophysical properties prediction and comparison with other proteins. The code for it has been uploaded on GitHub (an online repository of codes) in private mode. Elsevier 2023-05-26 /pmc/articles/PMC10326500/ /pubmed/37424755 http://dx.doi.org/10.1016/j.mex.2023.102226 Text en © 2023 Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Bioinformatics Chauhan, Ritu Bhattacharya, Juhi Solanki, Rubi Ahmad, Farhan Jalees Alankar, Bhavya Kaur, Harleen GUD-VE visualization tool for physicochemical properties of proteins |
title | GUD-VE visualization tool for physicochemical properties of proteins |
title_full | GUD-VE visualization tool for physicochemical properties of proteins |
title_fullStr | GUD-VE visualization tool for physicochemical properties of proteins |
title_full_unstemmed | GUD-VE visualization tool for physicochemical properties of proteins |
title_short | GUD-VE visualization tool for physicochemical properties of proteins |
title_sort | gud-ve visualization tool for physicochemical properties of proteins |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326500/ https://www.ncbi.nlm.nih.gov/pubmed/37424755 http://dx.doi.org/10.1016/j.mex.2023.102226 |
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