Prediction of presynaptic and postsynaptic neurotoxins by the increment of diversity.
Presynaptic and postsynaptic neurotoxins have very important application in basic research and drug design. The successful prediction of neurotoxin is becoming an important task in recent years. In this study, based on the concept of Chou's pseudo-amino acid compositions, an algorithm of increment of diversity (ID) is proposed for predicting presynaptic and postsynaptic neurotoxins. The results of jackknife test show that the accuracies of prediction are 90.23% for presynaptic neurotoxins and 89.40% for postsynaptic neurotoxins. In addition, toxins and non-toxins are also predicted by using this algorithm.
Yang
Lei
L
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, 235 West Daxue Road, Hohhot, Inner Mongolia 010021, China.
Li
Qianzhong
Q
D000465:Algorithms; D000595:Amino Acid Sequence; D000596:Amino Acids / Q000032:analysis; D000818:Animals; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D009498:Neurotoxins / Q000737:chemistry / Q000145:classification / Q000633:toxicity*; D011237:Predictive Value of Tests; D017729:Presynaptic Terminals / Q000187:drug effects*; D017661:Receptors, Presynaptic / Q000187:drug effects* / Q000378:metabolism; D015203:Reproducibility of Results; D020539:Sequence Analysis, Protein
D000596:Amino Acids; D009498:Neurotoxins; D017661:Receptors, Presynaptic