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Peptide Combination Generator: a Tool for Generating Peptide Combinations

[Image: see text] Peptides are used as reagents both for basic research and diagnostic purposes. Therefore, there is a need for novel methods for the design of peptide molecules with a particular specific physiochemical profile. The properties of the peptides are governed by the nature of amino acid...

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Autores principales: Ali, Naseem, Shamoon, Arzoo, Yadav, Neelesh, Sharma, Tanuj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097909/
https://www.ncbi.nlm.nih.gov/pubmed/32226857
http://dx.doi.org/10.1021/acsomega.9b03848
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author Ali, Naseem
Shamoon, Arzoo
Yadav, Neelesh
Sharma, Tanuj
author_facet Ali, Naseem
Shamoon, Arzoo
Yadav, Neelesh
Sharma, Tanuj
author_sort Ali, Naseem
collection PubMed
description [Image: see text] Peptides are used as reagents both for basic research and diagnostic purposes. Therefore, there is a need for novel methods for the design of peptide molecules with a particular specific physiochemical profile. The properties of the peptides are governed by the nature of amino acids constituting the peptide. There is a lack of a web server or tools which could predict all the possible combinations of the peptides generated because of the combinations of amino acids based on the physiochemical properties. We have developed a peptide combination generator (PepCoGen), a web server for generating all the possible combinations of peptides by varying the amino acids having similar physiochemical properties at a particular position. It also predicts other properties of the peptides including molecular weight, charge, solubility, hydrophobic plot, and isoelectric point, and random three-dimensional models for each generated combination.
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spelling pubmed-70979092020-03-27 Peptide Combination Generator: a Tool for Generating Peptide Combinations Ali, Naseem Shamoon, Arzoo Yadav, Neelesh Sharma, Tanuj ACS Omega [Image: see text] Peptides are used as reagents both for basic research and diagnostic purposes. Therefore, there is a need for novel methods for the design of peptide molecules with a particular specific physiochemical profile. The properties of the peptides are governed by the nature of amino acids constituting the peptide. There is a lack of a web server or tools which could predict all the possible combinations of the peptides generated because of the combinations of amino acids based on the physiochemical properties. We have developed a peptide combination generator (PepCoGen), a web server for generating all the possible combinations of peptides by varying the amino acids having similar physiochemical properties at a particular position. It also predicts other properties of the peptides including molecular weight, charge, solubility, hydrophobic plot, and isoelectric point, and random three-dimensional models for each generated combination. American Chemical Society 2020-03-16 /pmc/articles/PMC7097909/ /pubmed/32226857 http://dx.doi.org/10.1021/acsomega.9b03848 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Ali, Naseem
Shamoon, Arzoo
Yadav, Neelesh
Sharma, Tanuj
Peptide Combination Generator: a Tool for Generating Peptide Combinations
title Peptide Combination Generator: a Tool for Generating Peptide Combinations
title_full Peptide Combination Generator: a Tool for Generating Peptide Combinations
title_fullStr Peptide Combination Generator: a Tool for Generating Peptide Combinations
title_full_unstemmed Peptide Combination Generator: a Tool for Generating Peptide Combinations
title_short Peptide Combination Generator: a Tool for Generating Peptide Combinations
title_sort peptide combination generator: a tool for generating peptide combinations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097909/
https://www.ncbi.nlm.nih.gov/pubmed/32226857
http://dx.doi.org/10.1021/acsomega.9b03848
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