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SESNet: sequence-structure feature-integrated deep learning method for
  data-efficient protein engineering

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering

29 December 2022
Mingchen Li
Liqi Kang
Y. Xiong
Yu Wang
Guisheng Fan
P. Tan
Liang Hong
ArXivPDFHTML

Papers citing "SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering"

4 / 4 papers shown
Title
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
Song-bo Li
Yang Tan
Song Ke
Liang Hong
Bingxin Zhou
23
2
0
03 Oct 2024
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein
  Language Models
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
Yang Tan
Mingchen Li
Bingxin Zhou
Bozitao Zhong
Lirong Zheng
P. Tan
Ziyi Zhou
Huiqun Yu
Guisheng Fan
Liang Hong
26
8
0
23 Apr 2024
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word
  Tokenization on Downstream Applications
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
Yang Tan
Mingchen Li
P. Tan
Ziyi Zhou
Huiqun Yu
Guisheng Fan
Liang Hong
26
0
0
26 Oct 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
70
61
0
09 Feb 2023
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