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Predict7, a program for protein structure prediction
We describe a program for protein sequence analysis which runs in IBM PC computers. Protein sequences are loaded from files in Mount-Conrad and Lipman-Pearson format. Seven features are analyzed: hydrophilicity, hydropathy, surface probability, side chain flexibility, antigenicity, secondary structu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
1989
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111062/ https://www.ncbi.nlm.nih.gov/pubmed/2539121 http://dx.doi.org/10.1016/0006-291X(89)90049-1 |
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author | Cármenes, R.S. Freije, J.P. Molina, M.M. Martín, J.M. |
author_facet | Cármenes, R.S. Freije, J.P. Molina, M.M. Martín, J.M. |
author_sort | Cármenes, R.S. |
collection | PubMed |
description | We describe a program for protein sequence analysis which runs in IBM PC computers. Protein sequences are loaded from files in Mount-Conrad and Lipman-Pearson format. Seven features are analyzed: hydrophilicity, hydropathy, surface probability, side chain flexibility, antigenicity, secondary structure and N-glycosylation sites. Numeric results can be shown, printed or stored in files exportable to other programs. Graphics of up to four predictions can be displayed on the screen, printed out or plotted, with several definable options. This program has been designed to be fast, user-friendly and to be shared with the scientific community. |
format | Online Article Text |
id | pubmed-7111062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1989 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71110622020-04-02 Predict7, a program for protein structure prediction Cármenes, R.S. Freije, J.P. Molina, M.M. Martín, J.M. Biochem Biophys Res Commun Article We describe a program for protein sequence analysis which runs in IBM PC computers. Protein sequences are loaded from files in Mount-Conrad and Lipman-Pearson format. Seven features are analyzed: hydrophilicity, hydropathy, surface probability, side chain flexibility, antigenicity, secondary structure and N-glycosylation sites. Numeric results can be shown, printed or stored in files exportable to other programs. Graphics of up to four predictions can be displayed on the screen, printed out or plotted, with several definable options. This program has been designed to be fast, user-friendly and to be shared with the scientific community. Published by Elsevier Inc. 1989-03-15 2004-12-02 /pmc/articles/PMC7111062/ /pubmed/2539121 http://dx.doi.org/10.1016/0006-291X(89)90049-1 Text en Copyright © 1989 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Cármenes, R.S. Freije, J.P. Molina, M.M. Martín, J.M. Predict7, a program for protein structure prediction |
title | Predict7, a program for protein structure prediction |
title_full | Predict7, a program for protein structure prediction |
title_fullStr | Predict7, a program for protein structure prediction |
title_full_unstemmed | Predict7, a program for protein structure prediction |
title_short | Predict7, a program for protein structure prediction |
title_sort | predict7, a program for protein structure prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111062/ https://www.ncbi.nlm.nih.gov/pubmed/2539121 http://dx.doi.org/10.1016/0006-291X(89)90049-1 |
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