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ProADD: A database on Protein Aggregation Diseases
ProADD, a database for protein aggregation diseases, is developed to organize the data under a single platform to facilitate easy access for researchers. Diseases caused due to protein aggregation and the proteins involved in each of these diseases are integrated. The database helps in classificatio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110434/ https://www.ncbi.nlm.nih.gov/pubmed/25097386 http://dx.doi.org/10.6026/97320630010390 |
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author | Shobana, Ramesh Pandaranayaka, Eswari PJ |
author_facet | Shobana, Ramesh Pandaranayaka, Eswari PJ |
author_sort | Shobana, Ramesh |
collection | PubMed |
description | ProADD, a database for protein aggregation diseases, is developed to organize the data under a single platform to facilitate easy access for researchers. Diseases caused due to protein aggregation and the proteins involved in each of these diseases are integrated. The database helps in classification of proteins involved in the protein aggregation diseases based on sequence and structural analysis. Analysis of proteins can be done to mine patterns prevailing among the aggregating proteins. AVAILABILITY: http://bicmku.in/ProADD |
format | Online Article Text |
id | pubmed-4110434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-41104342014-08-05 ProADD: A database on Protein Aggregation Diseases Shobana, Ramesh Pandaranayaka, Eswari PJ Bioinformation Database ProADD, a database for protein aggregation diseases, is developed to organize the data under a single platform to facilitate easy access for researchers. Diseases caused due to protein aggregation and the proteins involved in each of these diseases are integrated. The database helps in classification of proteins involved in the protein aggregation diseases based on sequence and structural analysis. Analysis of proteins can be done to mine patterns prevailing among the aggregating proteins. AVAILABILITY: http://bicmku.in/ProADD Biomedical Informatics 2014-06-30 /pmc/articles/PMC4110434/ /pubmed/25097386 http://dx.doi.org/10.6026/97320630010390 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Database Shobana, Ramesh Pandaranayaka, Eswari PJ ProADD: A database on Protein Aggregation Diseases |
title | ProADD: A database on Protein Aggregation Diseases |
title_full | ProADD: A database on Protein Aggregation Diseases |
title_fullStr | ProADD: A database on Protein Aggregation Diseases |
title_full_unstemmed | ProADD: A database on Protein Aggregation Diseases |
title_short | ProADD: A database on Protein Aggregation Diseases |
title_sort | proadd: a database on protein aggregation diseases |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110434/ https://www.ncbi.nlm.nih.gov/pubmed/25097386 http://dx.doi.org/10.6026/97320630010390 |
work_keys_str_mv | AT shobanaramesh proaddadatabaseonproteinaggregationdiseases AT pandaranayakaeswaripj proaddadatabaseonproteinaggregationdiseases |