Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction

Predicting protein-protein interactions (PPIs) by learning informative representations from amino acid sequences is a challenging yet important problem in biology. Although various deep learning models in Siamese architecture have been proposed to model PPIs from sequences, these methods are computa...

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Veröffentlicht in:	arXiv.org 2020-10
Hauptverfasser:	Kishan, K C, Cui, Feng, Haake, Anne, Li, Rui
Format:	Artikel
Sprache:	eng
Schlagworte:	Amino acids Coders Predictions Proteins Regularization Representations Sequences State-of-the-art reviews
Online-Zugang:	Volltext
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