A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder
In this study, a web application was developed that comprises scientific literature associated with the <i>Coronaviridae</i> family, specifically for those viruses that are members of the Genus Betacoronavirus, responsible for emerging diseases with a great impact on human health: Middle...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/12/4/887 |
| _version_ | 1797436087709204480 |
|---|---|
| author | Dagoberto Armenta-Medina Aniel Jessica Leticia Brambila-Tapia Sabino Miranda-Jiménez Edel Rafael Rodea-Montero |
| author_facet | Dagoberto Armenta-Medina Aniel Jessica Leticia Brambila-Tapia Sabino Miranda-Jiménez Edel Rafael Rodea-Montero |
| author_sort | Dagoberto Armenta-Medina |
| collection | DOAJ |
| description | In this study, a web application was developed that comprises scientific literature associated with the <i>Coronaviridae</i> family, specifically for those viruses that are members of the Genus Betacoronavirus, responsible for emerging diseases with a great impact on human health: Middle East Respiratory Syndrome-Related Coronavirus (MERS-CoV) and Severe Acute Respiratory Syndrome-Related Coronavirus (SARS-CoV, SARS-CoV-2). The information compiled on this webserver aims to understand the basics of these viruses’ infection, and the nature of their pathogenesis, enabling the identification of molecular and cellular components that may function as potential targets on the design and development of successful treatments for the diseases associated with the <i>Coronaviridae</i> family. Some of the web application’s primary functions are searching for keywords within the scientific literature, natural language processing for the extraction of genes and words, the generation and visualization of gene networks associated with viral diseases derived from the analysis of latent semantic space, and cosine similarity measures. Interestingly, our gene association analysis reveals drug targets in understudies, and new targets suggested in the scientific literature to treat coronavirus. |
| first_indexed | 2024-03-09T10:57:38Z |
| format | Article |
| id | doaj.art-c973e02d40dd4fe3844231eddbc5f45f |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T10:57:38Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-c973e02d40dd4fe3844231eddbc5f45f2023-12-01T01:32:32ZengMDPI AGDiagnostics2075-44182022-04-0112488710.3390/diagnostics12040887A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus FinderDagoberto Armenta-Medina0Aniel Jessica Leticia Brambila-Tapia1Sabino Miranda-Jiménez2Edel Rafael Rodea-Montero3Consejo Nacional de Ciencia y Tecnología (CONACyT), Ciudad de México 03940, MexicoCentro Universitario de Ciencias de la Salud (CUCS), Departamento de Psicología Básica, Universidad de Guadalajara, Guadalajara 44340, MexicoConsejo Nacional de Ciencia y Tecnología (CONACyT), Ciudad de México 03940, MexicoHospital Regional de Alta Especialidad del Bajío, León 37660, MexicoIn this study, a web application was developed that comprises scientific literature associated with the <i>Coronaviridae</i> family, specifically for those viruses that are members of the Genus Betacoronavirus, responsible for emerging diseases with a great impact on human health: Middle East Respiratory Syndrome-Related Coronavirus (MERS-CoV) and Severe Acute Respiratory Syndrome-Related Coronavirus (SARS-CoV, SARS-CoV-2). The information compiled on this webserver aims to understand the basics of these viruses’ infection, and the nature of their pathogenesis, enabling the identification of molecular and cellular components that may function as potential targets on the design and development of successful treatments for the diseases associated with the <i>Coronaviridae</i> family. Some of the web application’s primary functions are searching for keywords within the scientific literature, natural language processing for the extraction of genes and words, the generation and visualization of gene networks associated with viral diseases derived from the analysis of latent semantic space, and cosine similarity measures. Interestingly, our gene association analysis reveals drug targets in understudies, and new targets suggested in the scientific literature to treat coronavirus.https://www.mdpi.com/2075-4418/12/4/887coronavirusnatural language processinglatent semantic analysisSARSMERS |
| spellingShingle | Dagoberto Armenta-Medina Aniel Jessica Leticia Brambila-Tapia Sabino Miranda-Jiménez Edel Rafael Rodea-Montero A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder Diagnostics coronavirus natural language processing latent semantic analysis SARS MERS |
| title | A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder |
| title_full | A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder |
| title_fullStr | A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder |
| title_full_unstemmed | A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder |
| title_short | A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder |
| title_sort | web application for biomedical text mining of scientific literature associated with coronavirus related syndromes coronavirus finder |
| topic | coronavirus natural language processing latent semantic analysis SARS MERS |
| url | https://www.mdpi.com/2075-4418/12/4/887 |
| work_keys_str_mv | AT dagobertoarmentamedina awebapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT anieljessicaleticiabrambilatapia awebapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT sabinomirandajimenez awebapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT edelrafaelrodeamontero awebapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT dagobertoarmentamedina webapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT anieljessicaleticiabrambilatapia webapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT sabinomirandajimenez webapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder AT edelrafaelrodeamontero webapplicationforbiomedicaltextminingofscientificliteratureassociatedwithcoronavirusrelatedsyndromescoronavirusfinder |