Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding

The polypeptide chain folding process appears to be a multi-stage phenomenon. The scientific community has recently devoted much attention to early stages of this process, with numerous attempts at simulating them—either experimentally or in silico. This paper presents a comparative analysis of the...

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Autores principales: Kalinowska, Barbara, Fabian, Piotr, Stąpor, Katarzyna, Roterman, Irena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491364/
https://www.ncbi.nlm.nih.gov/pubmed/25808133
http://dx.doi.org/10.1007/s10822-015-9839-2
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author Kalinowska, Barbara
Fabian, Piotr
Stąpor, Katarzyna
Roterman, Irena
author_facet Kalinowska, Barbara
Fabian, Piotr
Stąpor, Katarzyna
Roterman, Irena
author_sort Kalinowska, Barbara
collection PubMed
description The polypeptide chain folding process appears to be a multi-stage phenomenon. The scientific community has recently devoted much attention to early stages of this process, with numerous attempts at simulating them—either experimentally or in silico. This paper presents a comparative analysis of the predicted and observed results of folding simulations. The proposed technique, based on statistical dictionaries, yields a global accuracy of 57 %—a marked improvement over older approaches (with an accuracy of approximately 46 %).
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spelling pubmed-44913642015-07-08 Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding Kalinowska, Barbara Fabian, Piotr Stąpor, Katarzyna Roterman, Irena J Comput Aided Mol Des Article The polypeptide chain folding process appears to be a multi-stage phenomenon. The scientific community has recently devoted much attention to early stages of this process, with numerous attempts at simulating them—either experimentally or in silico. This paper presents a comparative analysis of the predicted and observed results of folding simulations. The proposed technique, based on statistical dictionaries, yields a global accuracy of 57 %—a marked improvement over older approaches (with an accuracy of approximately 46 %). Springer International Publishing 2015-03-26 2015 /pmc/articles/PMC4491364/ /pubmed/25808133 http://dx.doi.org/10.1007/s10822-015-9839-2 Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Kalinowska, Barbara
Fabian, Piotr
Stąpor, Katarzyna
Roterman, Irena
Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
title Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
title_full Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
title_fullStr Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
title_full_unstemmed Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
title_short Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
title_sort statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491364/
https://www.ncbi.nlm.nih.gov/pubmed/25808133
http://dx.doi.org/10.1007/s10822-015-9839-2
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