BACKGROUND: Enzymes that depend on vitamin B6 (and in particular on its metabolically active form, pyridoxal 5'-phosphate, PLP) are of great relevance to biology and medicine, as they catalyze a wide variety of biochemical reactions mainly involving amino acid substrates. Although PLP-dependent enzymes belong to a small number of independent evolutionary lineages, they encompass more than 160 distinct catalytic functions, thus representing a striking example of divergent evolution. The importance and remarkable versatility of these enzymes, as well as the difficulties in their functional classification, create a need for an integrated source of information about them. DESCRIPTION: The B6 database http://bioinformatics.unipr.it/B6db contains documented B6-dependent activities and the relevant protein families, defined as monophyletic groups of sequences possessing the same enzymatic function. One or more families were associated to each of 121 PLP-dependent activities with known sequences. Hidden Markov models (HMMs) were built from family alignments and incorporated in the database. These HMMs can be used for the functional classification of PLP-dependent enzymes in genomic sets of predicted protein sequences. An example of such analyses (a census of human genes coding for PLP-dependent enzymes) is provided here, whereas many more are accessible through the database itself. CONCLUSION: The B6 database is a curated repository of biochemical and molecular information about an important group of enzymes. This information is logically organized and available for computational analyses, providing a key resource for the identification, classification and comparative analysis of B6-dependent enzymes.

The B6 database: a tool for the description and classification of vitamin B6-dependent enzymatic activities and of the corresponding protein families / Percudani, Riccardo; Peracchi, Alessio. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 10:(2009), pp. 273-273. [10.1186/1471-2105-10-273]

The B6 database: a tool for the description and classification of vitamin B6-dependent enzymatic activities and of the corresponding protein families.

PERCUDANI, Riccardo;PERACCHI, Alessio
2009-01-01

Abstract

BACKGROUND: Enzymes that depend on vitamin B6 (and in particular on its metabolically active form, pyridoxal 5'-phosphate, PLP) are of great relevance to biology and medicine, as they catalyze a wide variety of biochemical reactions mainly involving amino acid substrates. Although PLP-dependent enzymes belong to a small number of independent evolutionary lineages, they encompass more than 160 distinct catalytic functions, thus representing a striking example of divergent evolution. The importance and remarkable versatility of these enzymes, as well as the difficulties in their functional classification, create a need for an integrated source of information about them. DESCRIPTION: The B6 database http://bioinformatics.unipr.it/B6db contains documented B6-dependent activities and the relevant protein families, defined as monophyletic groups of sequences possessing the same enzymatic function. One or more families were associated to each of 121 PLP-dependent activities with known sequences. Hidden Markov models (HMMs) were built from family alignments and incorporated in the database. These HMMs can be used for the functional classification of PLP-dependent enzymes in genomic sets of predicted protein sequences. An example of such analyses (a census of human genes coding for PLP-dependent enzymes) is provided here, whereas many more are accessible through the database itself. CONCLUSION: The B6 database is a curated repository of biochemical and molecular information about an important group of enzymes. This information is logically organized and available for computational analyses, providing a key resource for the identification, classification and comparative analysis of B6-dependent enzymes.
2009
The B6 database: a tool for the description and classification of vitamin B6-dependent enzymatic activities and of the corresponding protein families / Percudani, Riccardo; Peracchi, Alessio. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 10:(2009), pp. 273-273. [10.1186/1471-2105-10-273]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2283003
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