A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration-Reference-Cited by-同舟云学术

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A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration

Published:2024-03-01 Issue: Volume:6 Page:749-753
ISSN:
Container-title:2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
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Author:

Zhou Yanlin¹,Tan Kai²,Shen Xinyu³,He Zheng⁴,Zheng Haotian⁵

Affiliation:

1. Johns Hopkins University,Computer Science,MD,USA

2. University of Washington,Electrical & Computer Engineering,Seattle,WA,USA

3. Biostatistics Columbia University,Frisco,TX,USA

4. Applied Analytics Columbia University,NY,USA

5. New York University,Electrical & Computer Engineering,New York,NY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548253.pdf?arnumber=10548253

Reference10 articles.

1. The Importance of AI Algorithm Combined with Tunable LCST Smart Polymers in Biomedical Applications

2. Understanding of a convolutional neural network

3. Advances in protein structure prediction and design

4. Prediction of Atmospheric Carbon Dioxide Radiative Transfer Model based on Machine Learning;Frontiers in Computing and Intelligent Systems,2024

5. Imaging and Parameter Estimating for Fast Moving Targets in Airborne SAR

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2. Prediction of protein secondary structure by the improved TCN-BiLSTM-MHA model with knowledge distillation;Scientific Reports;2024-07-17

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