Using Attention-UNet Models to Predict Protein Contact Maps-Reference-Cited by-同舟云学术

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Using Attention-UNet Models to Predict Protein Contact Maps

Published:2024-07-01 Issue:7 Volume:31 Page:691-702
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

JISNA V. A.¹,AJAY ABHAYSING PAWAR²,JAYARAJ P. B.³

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Information Technology Design and Manufacturing, Kurnool, India.

2. Department of Chemical Engineering, NIT Calicut, Calicut, India.

3. Department of Computer Science and Engineering, NIT Calicut, Calicut, India.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2023.0102

Reference42 articles.

1. Ab Initio Protein Structure Prediction: Methods and challenges

2. DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout

3. A fully open-source framework for deep learning protein real-valued distances

4. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks

5. Improved residue contact prediction using support vector machines and a large feature set

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