Deep Learning Approaches for the Protein Scaffold Filling Problem-Reference-Cited by-同舟云学术

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Deep Learning Approaches for the Protein Scaffold Filling Problem

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)
language:
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Author:

Sturtz Jordan¹,Zhu Binhai²,Liu Xiaowen³,Fu Xingang⁴,Yuan Xiaohong¹,Qingge Letu¹

Affiliation:

1. Department of Computer Science North Carolina A&T State University Greensboro, NC, USA

2. Gianforte School of Computing Montana State University Bozeman, MT, USA

3. School of Medicine Tulane University New Orleans, LA, USA

4. Department of Electrical Engineering and Computer Science, Texas A&M University -Kingsville, Kingsville, TX, USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10097829/10097885/10098062.pdf?arnumber=10098062

Reference25 articles.

1. PEAKS: powerful software for peptidede novo sequencing by tandem mass spectrometry

2. De novo peptide sequencing by deep learning

3. PepNovo: De Novo Peptide Sequencing via Probabilistic Network Modeling

4. Novor: Real-Time Peptide de Novo Sequencing Software

5. Sequencing technologies and genome sequencing

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TEMPRO: nanobody melting temperature estimation model using protein embeddings;Scientific Reports;2024-08-17

2. Unravelling biomolecular and community grammars of RNA granules via machine learning;2024-04-08

3. Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem;Lecture Notes in Computer Science;2024

4. The Potential Uses of Data Science and Deep Learning Techniques in Mining Biological Data: A Comprehensive Analysis;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

5. A Convolutional Denoising Autoencoder for Protein Scaffold Filling;Bioinformatics Research and Applications;2023

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