Johan Boberg

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Reliable structural and statistical analyses of three dimensional protein structures should be based on unbiased data. The Protein Data Bank is highly redundant, containing several entries for identical or very similar sequences. A technique was developed for clustering the known structures based on their sequences and contents of alpha- and(More)
The prerequisites for accurate prediction of protein secondary structural class (all-alpha, all-beta, alpha+beta, alpha/beta or multidomain) were studied, and a new similarity-based method is presented for the prediction of the secondary structural class of a protein from its sequence. The new method uses representatives of nuclear families as a learning(More)
The selection of unbiased representatives from a large database is complicated by the requirement for the chosen entries to be not only genuinely different from each other but also typical for the family of related entries. A method satisfying this 2-fold objective was developed by equipping complete linkage clustering with a novel noise elimination(More)
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