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Journal of Chemical Information and ModelingBioinformaticsPeer-reviewed journal article

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

Hugo SchwekeiD, Marie-Hélène Mucchielli-GiorgiiD, Nicolas Chevrollier, Simon GossetiD, Anne LopesiD

PDFDOIPreprint

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.

Citations
30
FWCI
2.29
Field percentile
top 10%

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