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Table 2 Currently available TCR-epitope binding prediction methods

From: Neoantigen-targeted TCR-engineered T cell immunotherapy: current advances and challenges

TCR-epitope binding prediction tool

Predictable TCR chain(s)

Epitope constraint

TCR length constraint

Method description

Published date

Software / Webserver

TCRex

TCR β

Restricted epitopes

None

Models based on random forest classifiers

Nov-2019

Webserver:

https://www.tcrex.biodatamining.be/

ERGO-LSTM

TCR β

None

None

LSTM based model

Aug-2020

Software:

https://github.com/louzounlab/ERGO

ERGO-AE

TCR β

None

None

Autoencoder based model

Aug-2020

Software:

https://github.com/louzounlab/ERGO

ImRex

TCR β

8 ~ 11-mer

10 ~ 20

Dual input CNN model

Dec-2020

Software:

https://github.com/pmoris/ImRex

DLpTCR

TCR αβ

9-mer

8 ~ 20

Ensemble deep learning model of FCN, LeNet-5 and ResNet

Jul-2021

Software:

https://github.com/jiangBiolab/DLpTCR

Webserver:

http://jianglab.org.cn/DLpTCR/

NetTCR-2.0

TCR αβ

9-mer

8 ~ 18

1-dimensional CNN model

Sep-2021

Software:

https://github.com/mnielLab/NetTCR-2.0/

Webserver:

https://services.healthtech.dtu.dk/service.php?NetTCR-2.0

pMTnet

TCR β

None

None

deep neural network based on LSTM and stacked autoencoders

Sep-2021

Software:

https://github.com/tianshilu/pMTnet

  1. Abbreviations LSTM Long short-term memory, CNN,Convolutional neural network, FCN Fully convolutional networks, ResNet Residual neural network