Clustering Techniques for Protein Surfaces

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Provided by: Reed Business Information
Topic: Big Data
Format: PDF
Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of proteins and the way they interact. Surface-based techniques for protein comparison typically require applying clustering algorithms to the punctual 3D description of the surface in order to produce a compact surface representation, capable of effectively condensing its description. In this paper, the authors propose a formalization of the requirements for surface clustering in the biochemical context and present two different clustering techniques that meet them, based, respectively, on region-growing and on an original template matching algorithm.
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