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Integrated Servers for Structure-Informed Function Prediction

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From Protein Structure to Function with Bioinformatics

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No single method for predicting a protein's function from its three-dimensional structure is perfect; some methods work well in some cases, whereas other methods perform better in others. Consequently, it makes sense to apply a number of different predictive methods to a given protein structure and obtain either a consensus or the most likely prediction from them all. In this chapter we describe two web servers, ProKnow (http://proknow.mbi.ucla.edu) and ProFunc (http://www.ebi.ac.uk/profunc), that use a cocktail of methods for predicting function from 3D structure.

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Authors and Affiliations

  1. European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, Hinxton, CB10 1SD, UK

    Roman A. Laskowski

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  1. Roman A. Laskowski
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Correspondence to Roman A. Laskowski .

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  1. School of Biological Sciences, University of Liverpool, Liverpool, L69 7ZB, UK

    Daniel John Rigden

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Laskowski, R.A. (2009). Integrated Servers for Structure-Informed Function Prediction. In: Rigden, D.J. (eds) From Protein Structure to Function with Bioinformatics. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9058-5_10

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