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Graphical representation and mathematical characterization of protein sequences and applications to viral proteins
Graphical representation and numerical characterization (GRANCH) of nucleotide and protein sequences is a new field that is showing a lot of promise in analysis of such sequences. While formulation and applications of GRANCH techniques for DNA/RNA sequences started just over a decade ago, analyses o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150266/ https://www.ncbi.nlm.nih.gov/pubmed/21570664 http://dx.doi.org/10.1016/B978-0-12-381262-9.00001-X |
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author | Ghosh, Ambarnil Nandy, Ashesh |
author_facet | Ghosh, Ambarnil Nandy, Ashesh |
author_sort | Ghosh, Ambarnil |
collection | PubMed |
description | Graphical representation and numerical characterization (GRANCH) of nucleotide and protein sequences is a new field that is showing a lot of promise in analysis of such sequences. While formulation and applications of GRANCH techniques for DNA/RNA sequences started just over a decade ago, analyses of protein sequences by these techniques are of more recent origin. The emphasis is still on developing the underlying technique, but significant results have been achieved in using these methods for protein phylogeny, mass spectral data of proteins and protein serum profiles in parasites, toxicoproteomics, determination of different indices for use in QSAR studies, among others. We briefly mention these in this chapter, with some details on protein phylogeny and viral diseases. In particular, we cover a systematic method developed in GRANCH to determine conserved surface exposed peptide segments in selected viral proteins that can be used for drug and vaccine targeting. The new GRANCH techniques and applications for DNAs and proteins are covered briefly to provide an overview to this nascent field. |
format | Online Article Text |
id | pubmed-7150266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71502662020-04-13 Graphical representation and mathematical characterization of protein sequences and applications to viral proteins Ghosh, Ambarnil Nandy, Ashesh Adv Protein Chem Struct Biol Article Graphical representation and numerical characterization (GRANCH) of nucleotide and protein sequences is a new field that is showing a lot of promise in analysis of such sequences. While formulation and applications of GRANCH techniques for DNA/RNA sequences started just over a decade ago, analyses of protein sequences by these techniques are of more recent origin. The emphasis is still on developing the underlying technique, but significant results have been achieved in using these methods for protein phylogeny, mass spectral data of proteins and protein serum profiles in parasites, toxicoproteomics, determination of different indices for use in QSAR studies, among others. We briefly mention these in this chapter, with some details on protein phylogeny and viral diseases. In particular, we cover a systematic method developed in GRANCH to determine conserved surface exposed peptide segments in selected viral proteins that can be used for drug and vaccine targeting. The new GRANCH techniques and applications for DNAs and proteins are covered briefly to provide an overview to this nascent field. Elsevier Inc. 2011 2011-05-12 /pmc/articles/PMC7150266/ /pubmed/21570664 http://dx.doi.org/10.1016/B978-0-12-381262-9.00001-X Text en Copyright © 2011 Elsevier Inc. All rights reserved. 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 Ghosh, Ambarnil Nandy, Ashesh Graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
title | Graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
title_full | Graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
title_fullStr | Graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
title_full_unstemmed | Graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
title_short | Graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
title_sort | graphical representation and mathematical characterization of protein sequences and applications to viral proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150266/ https://www.ncbi.nlm.nih.gov/pubmed/21570664 http://dx.doi.org/10.1016/B978-0-12-381262-9.00001-X |
work_keys_str_mv | AT ghoshambarnil graphicalrepresentationandmathematicalcharacterizationofproteinsequencesandapplicationstoviralproteins AT nandyashesh graphicalrepresentationandmathematicalcharacterizationofproteinsequencesandapplicationstoviralproteins |