Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks.
Johanna VielhabenMarkus WenzelEva WeickenNils StrodthoffPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- binding peptides
- major histocompatibility complex
- neural network
- feed forward
- recurrent networks
- reservoir computing
- neural model
- echo state networks
- cascade correlation
- artificial neural networks
- mhc class ii
- feedforward neural networks
- nonlinear dynamic systems
- public health
- fine grained
- severe acute respiratory syndrome