Using Neural Networks to Predict Secondary Structure for Protein Folding

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

Citations

"Using Neural Networks to Predict Secondary Structure for Protein Folding"
written by Ali Abdulhafidh Ibrahim, Ibrahim Sabah Yasseen,
published by Journal of Computer and Communications, Vol.5 No.1, 2017

has been cited by the following article(s):

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[2]	A novel approach for protein secondary structure prediction using encoder–decoder with attention mechanism model
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[8]	Prediction of Secondary Structure of Proteins Using Sliding Window and Backpropagation Algorithm
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[9]	Improving protein secondary structure prediction: the evolutionary optimized classification algorithms
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[10]	Investigation of machine learning techniques on proteomics: A comprehensive survey
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[11]	PENERAPAN METODE LEARNING VECTOR QUANTIZATION UNTUK MEMPREDIKSI CUACA (STUDI KASUS KOTA TANJUNGPINANG)
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[12]	By using MADALINE Learning with Back Propagation and Keras to Predict the Protein Secondary Structure

[1]	A novel approach for protein secondary structure prediction using encoder–decoder with attention mechanism model Biomolecular Concepts, 2024 DOI:10.1515/bmc-2022-0043

[2]	Deep learning in structural bioinformatics: current applications and future perspectives Briefings in Bioinformatics, 2024 DOI:10.1093/bib/bbae042

[3]	Vibrating Particles System Algorithm for Solving Classification Problems Computer Systems Science and Engineering, 2022 DOI:10.32604/csse.2022.024210

[4]	Cascading 1D-Convnet Bidirectional Long Short Term Memory Network with Modified COCOB Optimizer: A Novel Approach for Protein Secondary Structure Prediction Chaos, Solitons & Fractals, 2021 DOI:10.1016/j.chaos.2021.111446

[5]	Improving protein secondary structure prediction: the evolutionary optimized classification algorithms Structural Chemistry, 2019 DOI:10.1007/s11224-018-1271-5

[6]	Investigation of machine learning techniques on proteomics: A comprehensive survey Progress in Biophysics and Molecular Biology, 2019 DOI:10.1016/j.pbiomolbio.2019.09.004

[7]	Applications of Artificial Intelligence Techniques in Engineering Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-981-13-1819-1_50