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- Title
Computational methods to identify novel methyltransferases.
- Authors
Petrossian, Tanya C.; Clarke, Steven G.
- Abstract
The article focuses on a study which uses computational methods to determine novel methyltransferases in various organisms. It notes that the study utilized advanced hidden Markov models (HMM) profiles, predicted secondary structures and solved crystal structures to determine the S-adenosylmethionine (AdoMet)-binding motifs of different families of methyltransferases. Also mentioned is the use of sequence similarity networks to predict the probable substrates for the putative methyltransferases.
- Subjects
METHYLTRANSFERASES; ORGANISMS; MARKOV processes; ADENOSYLMETHIONINE; COMPUTATIONAL biology; BIOINFORMATICS
- Publication
BMC Bioinformatics, 2009, Vol 10, p1
- ISSN
1471-2105
- Publication type
Article
- DOI
10.1186/1471-2105-10-S13-P7