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Intuitive representation of surface properties of biomolecules using BioBlender

BACKGROUND: In living cells, proteins are in continuous motion and interaction with the surrounding medium and/or other proteins and ligands. These interactions are mediated by protein features such as electrostatic and lipophilic potentials. The availability of protein structures enables the study...

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Autores principales: Andrei, Raluca Mihaela, Callieri, Marco, Zini, Maria Francesca, Loni, Tiziana, Maraziti, Giuseppe, Pan, Mike Chen, Zoppè, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434447/
https://www.ncbi.nlm.nih.gov/pubmed/22536962
http://dx.doi.org/10.1186/1471-2105-13-S4-S16
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author Andrei, Raluca Mihaela
Callieri, Marco
Zini, Maria Francesca
Loni, Tiziana
Maraziti, Giuseppe
Pan, Mike Chen
Zoppè, Monica
author_facet Andrei, Raluca Mihaela
Callieri, Marco
Zini, Maria Francesca
Loni, Tiziana
Maraziti, Giuseppe
Pan, Mike Chen
Zoppè, Monica
author_sort Andrei, Raluca Mihaela
collection PubMed
description BACKGROUND: In living cells, proteins are in continuous motion and interaction with the surrounding medium and/or other proteins and ligands. These interactions are mediated by protein features such as electrostatic and lipophilic potentials. The availability of protein structures enables the study of their surfaces and surface characteristics, based on atomic contribution. Traditionally, these properties are calculated by physico-chemical programs and visualized as range of colors that vary according to the tool used and imposes the necessity of a legend to decrypt it. The use of color to encode both characteristics makes the simultaneous visualization almost impossible, requiring these features to be visualized in different images. In this work, we describe a novel and intuitive code for the simultaneous visualization of these properties. METHODS: Recent advances in 3D animation and rendering software have not yet been exploited for the representation of biomolecules in an intuitive, animated form. For our purpose we use Blender, an open-source, free, cross-platform application used professionally for 3D work. On the basis Blender, we developed BioBlender, dedicated to biological work: elaboration of protein motion with simultaneous visualization of their chemical and physical features. Electrostatic and lipophilic potentials are calculated using physico-chemical software and scripts, organized and accessed through BioBlender interface. RESULTS: A new visual code is introduced for molecular lipophilic potential: a range of optical features going from smooth-shiny for hydrophobic regions to rough-dull for hydrophilic ones. Electrostatic potential is represented as animated line particles that flow along field lines, proportional to the total charge of the protein. CONCLUSIONS: Our system permits visualization of molecular features and, in the case of moving proteins, their continuous perception, calculated for each conformation during motion. Using real world tactile/sight feelings, the nanoscale world of proteins becomes more understandable, familiar to our everyday life, making it easier to introduce "un-seen" phenomena (concepts) such as hydropathy or charges. Moreover, this representation contributes to gain insight into molecular functions by drawing viewer's attention to the most active regions of the protein. The program, available for Windows, Linux and MacOS, can be downloaded freely from the dedicated website http://www.bioblender.eu
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spelling pubmed-34344472012-09-06 Intuitive representation of surface properties of biomolecules using BioBlender Andrei, Raluca Mihaela Callieri, Marco Zini, Maria Francesca Loni, Tiziana Maraziti, Giuseppe Pan, Mike Chen Zoppè, Monica BMC Bioinformatics Research BACKGROUND: In living cells, proteins are in continuous motion and interaction with the surrounding medium and/or other proteins and ligands. These interactions are mediated by protein features such as electrostatic and lipophilic potentials. The availability of protein structures enables the study of their surfaces and surface characteristics, based on atomic contribution. Traditionally, these properties are calculated by physico-chemical programs and visualized as range of colors that vary according to the tool used and imposes the necessity of a legend to decrypt it. The use of color to encode both characteristics makes the simultaneous visualization almost impossible, requiring these features to be visualized in different images. In this work, we describe a novel and intuitive code for the simultaneous visualization of these properties. METHODS: Recent advances in 3D animation and rendering software have not yet been exploited for the representation of biomolecules in an intuitive, animated form. For our purpose we use Blender, an open-source, free, cross-platform application used professionally for 3D work. On the basis Blender, we developed BioBlender, dedicated to biological work: elaboration of protein motion with simultaneous visualization of their chemical and physical features. Electrostatic and lipophilic potentials are calculated using physico-chemical software and scripts, organized and accessed through BioBlender interface. RESULTS: A new visual code is introduced for molecular lipophilic potential: a range of optical features going from smooth-shiny for hydrophobic regions to rough-dull for hydrophilic ones. Electrostatic potential is represented as animated line particles that flow along field lines, proportional to the total charge of the protein. CONCLUSIONS: Our system permits visualization of molecular features and, in the case of moving proteins, their continuous perception, calculated for each conformation during motion. Using real world tactile/sight feelings, the nanoscale world of proteins becomes more understandable, familiar to our everyday life, making it easier to introduce "un-seen" phenomena (concepts) such as hydropathy or charges. Moreover, this representation contributes to gain insight into molecular functions by drawing viewer's attention to the most active regions of the protein. The program, available for Windows, Linux and MacOS, can be downloaded freely from the dedicated website http://www.bioblender.eu BioMed Central 2012-03-28 /pmc/articles/PMC3434447/ /pubmed/22536962 http://dx.doi.org/10.1186/1471-2105-13-S4-S16 Text en Copyright ©2012 Andrei et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Andrei, Raluca Mihaela
Callieri, Marco
Zini, Maria Francesca
Loni, Tiziana
Maraziti, Giuseppe
Pan, Mike Chen
Zoppè, Monica
Intuitive representation of surface properties of biomolecules using BioBlender
title Intuitive representation of surface properties of biomolecules using BioBlender
title_full Intuitive representation of surface properties of biomolecules using BioBlender
title_fullStr Intuitive representation of surface properties of biomolecules using BioBlender
title_full_unstemmed Intuitive representation of surface properties of biomolecules using BioBlender
title_short Intuitive representation of surface properties of biomolecules using BioBlender
title_sort intuitive representation of surface properties of biomolecules using bioblender
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434447/
https://www.ncbi.nlm.nih.gov/pubmed/22536962
http://dx.doi.org/10.1186/1471-2105-13-S4-S16
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