Journal of Proteomics & Bioinformatics
Open Access

Chittibabu Guda

Publications

• Review Article
  Computational Approaches for Automated Classification of Enzyme Sequences
  Author(s): Akram Mohammed and Chittibabu GudaAkram Mohammed and Chittibabu Guda
  
  Determining the functional role(s) of enzymes is very important to build the metabolic blueprint of an organism and to identify the potential roles enzymes may play in metabolic and disease pathways. With exponential growth in gene and protein sequence data, it is not feasible to experimentally characterize the function(s) of all enzymes. Alternatively, computational methods can be used to annotate the enormous amount of unannotated enzyme sequences. For function prediction and classification of enzymes, features based on amino acid composition, sequence and structural properties, domain composition and specific peptide information have been widely used by different computational approaches. Each feature space has its own merits and limitations on the overall prediction accuracy. Prediction accuracy improves when machine-learning methods are used to classify enzymes. Given the incompl.. View More»
  DOI: 10.4172/jpb.1000183

  Abstract PDF

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