Abstract
We apply a spin image representation for 3D objects used in computer vision to the problem of comparing protein surfaces. Due to the irregularities of the protein surfaces, this is a much more complex problem than comparing regular and smooth surfaces. The spin images capture local features in a way that is useful for finding related active sites on the surface of two proteins. They reduce the three-dimensional local information to two dimensions which is a significant computational advantage.
We try to find a collection of pairs of points on the two proteins such that the corresponding members of the pairs for one of the proteins form a surface patch for which the corresponding spin images are a “match”. Preliminary results are presented which demonstrate the feasibility of the method.
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© 2005 Springer-Verlag Berlin Heidelberg
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Bock, M.E., Cortelazzo, G.M., Ferrari, C., Guerra, C. (2005). Identifying Similar Surface Patches on Proteins Using a Spin-Image Surface Representation. In: Apostolico, A., Crochemore, M., Park, K. (eds) Combinatorial Pattern Matching. CPM 2005. Lecture Notes in Computer Science, vol 3537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11496656_36
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DOI: https://doi.org/10.1007/11496656_36
Publisher Name: Springer, Berlin, Heidelberg
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