Classification of adaptor proteins using recurrent neural networks and PSSM profiles

Classification of adaptor proteins using recurrent neural networks and PSSM profiles

Abstract Background Adaptor proteins are carrier proteins that play a crucial role in signal transduction. They commonly consist of several modular domains, each having its own binding activity and operating by forming complexes with other intracellular-signaling molecules. Many studies determined t...

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Bibliographic Details
Main Authors: Nguyen Quoc Khanh Le, Quang H. Nguyen, Xuan Chen, Susanto Rahardja, Binh P. Nguyen
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Genomics
Subjects:
Adaptor proteins
Prediction
Classification
Deep learning
RNN
GRU
Online Access:https://doi.org/10.1186/s12864-019-6335-4

Internet

https://doi.org/10.1186/s12864-019-6335-4

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