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Data on the sequence-derived properties of gastric cancer – binding peptides
The article presents a dataset containing nine classes of calculated sequence-derived descriptors for 78 peptide sequences, 21 of which demonstrate the ability to bind with gastric cancer cells. The datasaet was used in the paper “A screening algorithm for gastric cancer binding peptides” [1] for th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062929/ https://www.ncbi.nlm.nih.gov/pubmed/32181310 http://dx.doi.org/10.1016/j.dib.2020.105351 |
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author | Janairo, Jose Isagani B. Sy-Janairo, Marianne Linley L. |
author_facet | Janairo, Jose Isagani B. Sy-Janairo, Marianne Linley L. |
author_sort | Janairo, Jose Isagani B. |
collection | PubMed |
description | The article presents a dataset containing nine classes of calculated sequence-derived descriptors for 78 peptide sequences, 21 of which demonstrate the ability to bind with gastric cancer cells. The datasaet was used in the paper “A screening algorithm for gastric cancer binding peptides” [1] for the creation of a classification model that can predict the ability of a given peptide sequence to bind with gastric cancer cells. The 78 peptide sequences were extracted from a systematic literature search, and the various peptide descriptors were calculated using the R package “Peptides”. The nine calculated sequence-derived descriptor classes are the Blosum indices, Cruciani properties, FASGAI vectors, Kidera factors, ProtFP, ST-scales, T-scales, VHSE scales, and Z-scales. The resulting dataset, which is composed of over 4000 data points, offers a rich resource for further protochemometric analyses of the curated peptide sequences relevant to cancer diagnostics and therapeutics. |
format | Online Article Text |
id | pubmed-7062929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70629292020-03-16 Data on the sequence-derived properties of gastric cancer – binding peptides Janairo, Jose Isagani B. Sy-Janairo, Marianne Linley L. Data Brief Biochemistry, Genetics and Molecular Biology The article presents a dataset containing nine classes of calculated sequence-derived descriptors for 78 peptide sequences, 21 of which demonstrate the ability to bind with gastric cancer cells. The datasaet was used in the paper “A screening algorithm for gastric cancer binding peptides” [1] for the creation of a classification model that can predict the ability of a given peptide sequence to bind with gastric cancer cells. The 78 peptide sequences were extracted from a systematic literature search, and the various peptide descriptors were calculated using the R package “Peptides”. The nine calculated sequence-derived descriptor classes are the Blosum indices, Cruciani properties, FASGAI vectors, Kidera factors, ProtFP, ST-scales, T-scales, VHSE scales, and Z-scales. The resulting dataset, which is composed of over 4000 data points, offers a rich resource for further protochemometric analyses of the curated peptide sequences relevant to cancer diagnostics and therapeutics. Elsevier 2020-02-29 /pmc/articles/PMC7062929/ /pubmed/32181310 http://dx.doi.org/10.1016/j.dib.2020.105351 Text en © 2020 The Author(s) http://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 | Biochemistry, Genetics and Molecular Biology Janairo, Jose Isagani B. Sy-Janairo, Marianne Linley L. Data on the sequence-derived properties of gastric cancer – binding peptides |
title | Data on the sequence-derived properties of gastric cancer – binding peptides |
title_full | Data on the sequence-derived properties of gastric cancer – binding peptides |
title_fullStr | Data on the sequence-derived properties of gastric cancer – binding peptides |
title_full_unstemmed | Data on the sequence-derived properties of gastric cancer – binding peptides |
title_short | Data on the sequence-derived properties of gastric cancer – binding peptides |
title_sort | data on the sequence-derived properties of gastric cancer – binding peptides |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062929/ https://www.ncbi.nlm.nih.gov/pubmed/32181310 http://dx.doi.org/10.1016/j.dib.2020.105351 |
work_keys_str_mv | AT janairojoseisaganib dataonthesequencederivedpropertiesofgastriccancerbindingpeptides AT syjanairomariannelinleyl dataonthesequencederivedpropertiesofgastriccancerbindingpeptides |