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PRO-Simat: Protein network simulation and design tool
PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organis...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172639/ https://www.ncbi.nlm.nih.gov/pubmed/37181657 http://dx.doi.org/10.1016/j.csbj.2023.04.023 |
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author | Salihoglu, Rana Srivastava, Mugdha Liang, Chunguang Schilling, Klaus Szalay, Aladar Bencurova, Elena Dandekar, Thomas |
author_facet | Salihoglu, Rana Srivastava, Mugdha Liang, Chunguang Schilling, Klaus Szalay, Aladar Bencurova, Elena Dandekar, Thomas |
author_sort | Salihoglu, Rana |
collection | PubMed |
description | PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organisms and the human proteome. We integrated dynamical network simulation using the Jimena framework, which quickly and efficiently simulates Boolean genetic regulatory networks. It enables simulation outputs with in-depth analysis of the type, strength, duration and pathway of the protein interactions on the website. Furthermore, the user can efficiently edit and analyse the effect of network modifications and engineering experiments. In case studies, applications of PRO-Simat are demonstrated: (i) understanding mutually exclusive differentiation pathways in Bacillus subtilis, (ii) making Vaccinia virus oncolytic by switching on its viral replication mainly in cancer cells and triggering cancer cell apoptosis and (iii) optogenetic control of nucleotide processing protein networks to operate DNA storage. Multilevel communication between components is critical for efficient network switching, as demonstrated by a general census on prokaryotic and eukaryotic networks and comparing design with synthetic networks using PRO-Simat. The tool is available at https://prosimat.heinzelab.de/ as a web-based query server. |
format | Online Article Text |
id | pubmed-10172639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-101726392023-05-12 PRO-Simat: Protein network simulation and design tool Salihoglu, Rana Srivastava, Mugdha Liang, Chunguang Schilling, Klaus Szalay, Aladar Bencurova, Elena Dandekar, Thomas Comput Struct Biotechnol J Research Article PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organisms and the human proteome. We integrated dynamical network simulation using the Jimena framework, which quickly and efficiently simulates Boolean genetic regulatory networks. It enables simulation outputs with in-depth analysis of the type, strength, duration and pathway of the protein interactions on the website. Furthermore, the user can efficiently edit and analyse the effect of network modifications and engineering experiments. In case studies, applications of PRO-Simat are demonstrated: (i) understanding mutually exclusive differentiation pathways in Bacillus subtilis, (ii) making Vaccinia virus oncolytic by switching on its viral replication mainly in cancer cells and triggering cancer cell apoptosis and (iii) optogenetic control of nucleotide processing protein networks to operate DNA storage. Multilevel communication between components is critical for efficient network switching, as demonstrated by a general census on prokaryotic and eukaryotic networks and comparing design with synthetic networks using PRO-Simat. The tool is available at https://prosimat.heinzelab.de/ as a web-based query server. Research Network of Computational and Structural Biotechnology 2023-04-26 /pmc/articles/PMC10172639/ /pubmed/37181657 http://dx.doi.org/10.1016/j.csbj.2023.04.023 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Salihoglu, Rana Srivastava, Mugdha Liang, Chunguang Schilling, Klaus Szalay, Aladar Bencurova, Elena Dandekar, Thomas PRO-Simat: Protein network simulation and design tool |
title | PRO-Simat: Protein network simulation and design tool |
title_full | PRO-Simat: Protein network simulation and design tool |
title_fullStr | PRO-Simat: Protein network simulation and design tool |
title_full_unstemmed | PRO-Simat: Protein network simulation and design tool |
title_short | PRO-Simat: Protein network simulation and design tool |
title_sort | pro-simat: protein network simulation and design tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172639/ https://www.ncbi.nlm.nih.gov/pubmed/37181657 http://dx.doi.org/10.1016/j.csbj.2023.04.023 |
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