• Combined prediction of Tat and Sec signal peptides with hidden Markov models 

      Bagos, P. G.; Nikolaou, E. P.; Liakopoulos, T. D.; Tsirigos, K. D. (2010)
      Motivation: Computational prediction of signal peptides is of great importance in computational biology. In addition to the general secretory pathway ( Sec), Bacteria, Archaea and chloroplasts possess another major pathway ...
    • Prediction of Lipoprotein Signal Peptides in Gram-Positive Bacteria with a Hidden Markov Model 

      Bagos, P. G.; Tslrigos, K. D.; Liakopoulos, T. D.; Hamodrakas, S. J. (2008)
      We present a Hidden Markov Model method for the prediction of lipoprotein signal peptides of Gram-positive bacteria, trained on a set of 67 experimentally verified lipoproteins. The method outperforms LipoP and the methods ...
    • Prediction of signal peptides in archaea 

      Bagos, P. G.; Tsirigos, K. D.; Plessas, S. K.; Liakopoulos, T. D.; Hamodrakas, S. J. (2009)
      Computational prediction of signal peptides (SPs) and their cleavage sites is of great importance in computational biology; however, currently there is no available method capable of predicting reliably the SPs of archaea, ...