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PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization

Protein-protein interactions are essential for the basic biological machinery of the cell. This is important for processes like protein synthesis, enzyme kinetics, molecular assembly and signal transduction. A high number of macromolecular structural complexes are known due to recent advances in str...

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Detalles Bibliográficos
Autores principales: Kaleeckal Mathew, Oommen, Sowdhamini, Ramanathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857458/
https://www.ncbi.nlm.nih.gov/pubmed/27212837
http://dx.doi.org/10.6026/97320630012009
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author Kaleeckal Mathew, Oommen
Sowdhamini, Ramanathan
author_facet Kaleeckal Mathew, Oommen
Sowdhamini, Ramanathan
author_sort Kaleeckal Mathew, Oommen
collection PubMed
description Protein-protein interactions are essential for the basic biological machinery of the cell. This is important for processes like protein synthesis, enzyme kinetics, molecular assembly and signal transduction. A high number of macromolecular structural complexes are known due to recent advances in structure determination techniques. Therefore, it is of interest to develop an interactive tool to objectively analyze large protein complexes. Hence, we describe the development and utility of a web enabled application named ‘Protein-Protein Interaction in Macro-molecular Assembly’ (PIMA) for the analysis of large protein assemblies. The intricate details of physical interactions amongst protein subunits in a large complex are presented as simple user preferred interactive network diagrams
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spelling pubmed-48574582016-05-20 PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization Kaleeckal Mathew, Oommen Sowdhamini, Ramanathan Bioinformation web Server Protein-protein interactions are essential for the basic biological machinery of the cell. This is important for processes like protein synthesis, enzyme kinetics, molecular assembly and signal transduction. A high number of macromolecular structural complexes are known due to recent advances in structure determination techniques. Therefore, it is of interest to develop an interactive tool to objectively analyze large protein complexes. Hence, we describe the development and utility of a web enabled application named ‘Protein-Protein Interaction in Macro-molecular Assembly’ (PIMA) for the analysis of large protein assemblies. The intricate details of physical interactions amongst protein subunits in a large complex are presented as simple user preferred interactive network diagrams Biomedical Informatics 2016-01-31 /pmc/articles/PMC4857458/ /pubmed/27212837 http://dx.doi.org/10.6026/97320630012009 Text en © 2016 Biomedical Informatics This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle web Server
Kaleeckal Mathew, Oommen
Sowdhamini, Ramanathan
PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization
title PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization
title_full PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization
title_fullStr PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization
title_full_unstemmed PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization
title_short PIMA: Protein-Protein interactions in Macromolecular Assembly - a web server for its Analysis and Visualization
title_sort pima: protein-protein interactions in macromolecular assembly - a web server for its analysis and visualization
topic web Server
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857458/
https://www.ncbi.nlm.nih.gov/pubmed/27212837
http://dx.doi.org/10.6026/97320630012009
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