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SURFMAP: a software for mapping in two dimensions protein surface features

View ORCID ProfileHugo Schweke, View ORCID ProfileMarie-Hélène Mucchielli, Nicolas Chevrollier, Simon Gosset, View ORCID ProfileAnne Lopes
doi: https://doi.org/10.1101/2021.10.15.464543
Hugo Schweke
1Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
2Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
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  • For correspondence: anne.lopes@i2bc.paris-saclay.fr hugo.schweke@weizmann.ac.il
Marie-Hélène Mucchielli
3Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif-surYvette, France
4Université de Paris, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif-sur-Yvette, France
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Nicolas Chevrollier
5Independent investigator, Paris, France
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Simon Gosset
3Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif-surYvette, France
4Université de Paris, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif-sur-Yvette, France
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Anne Lopes
1Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
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  • For correspondence: anne.lopes@i2bc.paris-saclay.fr hugo.schweke@weizmann.ac.il
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ABSTRACT

Molecular cartography using two-dimensional (2D) representation of protein surfaces has been shown to be very promising for protein surface analysis. Here, we present SURFMAP, a free standalone and easy-to-use software that enables the fast and automated 2D projection of either predefined features of protein surface (i.e., electrostatic potential, Kyte-Doolittle hydrophobicity, stickiness, and surface relief) or any descriptor encoded in the temperature factor column of a PDB file. SURFMAP uses a pseudo-cylindrical sinusoidal “equal-area” projection that has the advantage of preserving the area measures. It provides the user with (i) 2D maps that enable the easy and visual analysis of protein surface features of interest and (ii) maps in a text file format allowing the fast and straightforward quantitative comparison of 2D maps of homologous proteins.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • A few lines were missing in the Results section because of a mistake during the formatting process of the manuscript. They are now added.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 27, 2021.
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SURFMAP: a software for mapping in two dimensions protein surface features
Hugo Schweke, Marie-Hélène Mucchielli, Nicolas Chevrollier, Simon Gosset, Anne Lopes
bioRxiv 2021.10.15.464543; doi: https://doi.org/10.1101/2021.10.15.464543
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SURFMAP: a software for mapping in two dimensions protein surface features
Hugo Schweke, Marie-Hélène Mucchielli, Nicolas Chevrollier, Simon Gosset, Anne Lopes
bioRxiv 2021.10.15.464543; doi: https://doi.org/10.1101/2021.10.15.464543

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