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Special Protein Molecules Computational Identification
Computational identification of special protein molecules is a key issue in understanding protein function. It can guide molecular experiments and help to save costs. I assessed 18 papers published in the special issue of Int. J. Mol. Sci., and also discussed the related works. The computational met...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855758/ https://www.ncbi.nlm.nih.gov/pubmed/29439426 http://dx.doi.org/10.3390/ijms19020536 |
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author | Zou, Quan He, Wenying |
author_facet | Zou, Quan He, Wenying |
author_sort | Zou, Quan |
collection | PubMed |
description | Computational identification of special protein molecules is a key issue in understanding protein function. It can guide molecular experiments and help to save costs. I assessed 18 papers published in the special issue of Int. J. Mol. Sci., and also discussed the related works. The computational methods employed in this special issue focused on machine learning, network analysis, and molecular docking. New methods and new topics were also proposed. There were in addition several wet experiments, with proven results showing promise. I hope our special issue will help in protein molecules identification researches. |
format | Online Article Text |
id | pubmed-5855758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58557582018-03-20 Special Protein Molecules Computational Identification Zou, Quan He, Wenying Int J Mol Sci Editorial Computational identification of special protein molecules is a key issue in understanding protein function. It can guide molecular experiments and help to save costs. I assessed 18 papers published in the special issue of Int. J. Mol. Sci., and also discussed the related works. The computational methods employed in this special issue focused on machine learning, network analysis, and molecular docking. New methods and new topics were also proposed. There were in addition several wet experiments, with proven results showing promise. I hope our special issue will help in protein molecules identification researches. MDPI 2018-02-10 /pmc/articles/PMC5855758/ /pubmed/29439426 http://dx.doi.org/10.3390/ijms19020536 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Editorial Zou, Quan He, Wenying Special Protein Molecules Computational Identification |
title | Special Protein Molecules Computational Identification |
title_full | Special Protein Molecules Computational Identification |
title_fullStr | Special Protein Molecules Computational Identification |
title_full_unstemmed | Special Protein Molecules Computational Identification |
title_short | Special Protein Molecules Computational Identification |
title_sort | special protein molecules computational identification |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855758/ https://www.ncbi.nlm.nih.gov/pubmed/29439426 http://dx.doi.org/10.3390/ijms19020536 |
work_keys_str_mv | AT zouquan specialproteinmoleculescomputationalidentification AT hewenying specialproteinmoleculescomputationalidentification |