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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

Mingchen Li
Liqi Kang
Y. Xiong
Yu Wang
Guisheng Fan
P. Tan
Liang Hong
ArXiv (abs)PDFHTML

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 Li
Yang Tan
Song Ke
Liang Hong
Bingxin Zhou
84
4
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
69
11
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
65
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
130
70
0
09 Feb 2023

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