Over last many years, various computational models have been
applied for solving various biological problems. Various
transmembrane region predictors have been developed for prediction
of secondary structure of proteins with varying levels of accuracy.
This book provides Adaptive Neuro-Fuzzy Inference System (ANFIS)
based model for predicting helical transmembrane region by
acquiring the structural information of target protein directly
from its sequence data. Also, a Fuzzy Inference System was
developed using the same test set for comparing the performance of
ANFIS model. The best configuration of ANFIS model with RMSE and
accuracy as 40.92% and 76.76%, respectively, seems to outperform
the fuzzy model, which attained RMSE and accuracy as 54.45% and
70.37%, respectively. The success of this approach suggests that it
can find potential applications in other sequence-based analysis
problems. The model decsribed in this book will be useful to
bioinformaticians developing new and challenging models for solving
different biological problems.
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