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PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies
BACKGROUND: The identification of structured units in a protein sequence is an important first step for most biochemical studies. Importantly for this study, the identification of stable structured region is a crucial first step to generate novel synthetic antibodies. While many approaches to find d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818438/ https://www.ncbi.nlm.nih.gov/pubmed/27039071 http://dx.doi.org/10.1186/s12859-016-1001-1 |
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author | Jeon, Jouhyun Arnold, Roland Singh, Fateh Teyra, Joan Braun, Tatjana Kim, Philip M. |
author_facet | Jeon, Jouhyun Arnold, Roland Singh, Fateh Teyra, Joan Braun, Tatjana Kim, Philip M. |
author_sort | Jeon, Jouhyun |
collection | PubMed |
description | BACKGROUND: The identification of structured units in a protein sequence is an important first step for most biochemical studies. Importantly for this study, the identification of stable structured region is a crucial first step to generate novel synthetic antibodies. While many approaches to find domains or predict structured regions exist, important limitations remain, such as the optimization of domain boundaries and the lack of identification of non-domain structured units. Moreover, no integrated tool exists to find and optimize structural domains within protein sequences. RESULTS: Here, we describe a new tool, PAT (http://www.kimlab.org/software/pat) that can efficiently identify both domains (with optimized boundaries) and non-domain putative structured units. PAT automatically analyzes various structural properties, evaluates the folding stability, and reports possible structural domains in a given protein sequence. For reliability evaluation of PAT, we applied PAT to identify antibody target molecules based on the notion that soluble and well-defined protein secondary and tertiary structures are appropriate target molecules for synthetic antibodies. CONCLUSION: PAT is an efficient and sensitive tool to identify structured units. A performance analysis shows that PAT can characterize structurally well-defined regions in a given sequence and outperforms other efforts to define reliable boundaries of domains. Specially, PAT successfully identifies experimentally confirmed target molecules for antibody generation. PAT also offers the pre-calculated results of 20,210 human proteins to accelerate common queries. PAT can therefore help to investigate large-scale structured domains and improve the success rate for synthetic antibody generation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1001-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4818438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48184382016-04-03 PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies Jeon, Jouhyun Arnold, Roland Singh, Fateh Teyra, Joan Braun, Tatjana Kim, Philip M. BMC Bioinformatics Software BACKGROUND: The identification of structured units in a protein sequence is an important first step for most biochemical studies. Importantly for this study, the identification of stable structured region is a crucial first step to generate novel synthetic antibodies. While many approaches to find domains or predict structured regions exist, important limitations remain, such as the optimization of domain boundaries and the lack of identification of non-domain structured units. Moreover, no integrated tool exists to find and optimize structural domains within protein sequences. RESULTS: Here, we describe a new tool, PAT (http://www.kimlab.org/software/pat) that can efficiently identify both domains (with optimized boundaries) and non-domain putative structured units. PAT automatically analyzes various structural properties, evaluates the folding stability, and reports possible structural domains in a given protein sequence. For reliability evaluation of PAT, we applied PAT to identify antibody target molecules based on the notion that soluble and well-defined protein secondary and tertiary structures are appropriate target molecules for synthetic antibodies. CONCLUSION: PAT is an efficient and sensitive tool to identify structured units. A performance analysis shows that PAT can characterize structurally well-defined regions in a given sequence and outperforms other efforts to define reliable boundaries of domains. Specially, PAT successfully identifies experimentally confirmed target molecules for antibody generation. PAT also offers the pre-calculated results of 20,210 human proteins to accelerate common queries. PAT can therefore help to investigate large-scale structured domains and improve the success rate for synthetic antibody generation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1001-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-01 /pmc/articles/PMC4818438/ /pubmed/27039071 http://dx.doi.org/10.1186/s12859-016-1001-1 Text en © Jeon et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Jeon, Jouhyun Arnold, Roland Singh, Fateh Teyra, Joan Braun, Tatjana Kim, Philip M. PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
title | PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
title_full | PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
title_fullStr | PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
title_full_unstemmed | PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
title_short | PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
title_sort | pat: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818438/ https://www.ncbi.nlm.nih.gov/pubmed/27039071 http://dx.doi.org/10.1186/s12859-016-1001-1 |
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