Predicting Protein Transmembrane Regionsby Using LSTM Model
Predicting Protein Transmembrane Regionsby Using LSTM Model is a scholarly work, published in 2018 in ''Significances of Bioengineering & Biosciences''. The main subjects of the publication include protein structure prediction, RNA sequencing, recurrent neural network, computational biology, amino acid, transmembrane protein, artificial intelligence, artificial neural network, Transmembrane domain, set, machine learning, pattern recognition, protein structure, and computer science. The authors propose a novel approach to this problem using the Long Short-Term Memory (LSTM) model-a recurrent neural network.