Secondary Protein Structure Prediction Using Neural Networks. (arXiv:2208.11248v1 [cs.LG])

In this paper we experiment with using neural network structures to predict a
protein's secondary structure ({\alpha} helix positions) from only its primary
structure (amino acid sequence). We implement a fully connected neural network
(FCNN) and preform three experiments using that FCNN. Firstly, we do a
cross-species comparison of models trained and tested on mouse and human
datasets. Secondly, we test the impact of varying the length of protein
sequence we input into the model. Thirdly, we compare custom error …

arxiv lg networks neural networks prediction protein protein structure protein structure prediction