Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework
As a newly discovered post-translational modification (PTM), lysine malonylation (Kmal)
regulates a myriad of cellular processes from prokaryotes to eukaryotes and has important …
regulates a myriad of cellular processes from prokaryotes to eukaryotes and has important …
Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins
Background Post-translational modification (PTM) is a biological process that alters proteins
and is therefore involved in the regulation of various cellular activities and pathogenesis …
and is therefore involved in the regulation of various cellular activities and pathogenesis …
Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network
E Khalili, S Ramazi, F Ghanati… - Briefings in …, 2022 - academic.oup.com
Phosphorylation of proteins is one of the most significant post-translational modifications
(PTMs) and plays a crucial role in plant functionality due to its impact on signaling, gene …
(PTMs) and plays a crucial role in plant functionality due to its impact on signaling, gene …
A Hybrid Bidirectional Long Short-Term Memory and Bidirectional Gated Recurrent Unit Architecture for Protein Secondary Structure Prediction
V Bongirwar, AS Mokhade - IEEE Access, 2024 - ieeexplore.ieee.org
Protein secondary structure prediction plays a pivotal role in deciphering protein function
and structure, with implications for drug discovery, functional annotation, and molecular …
and structure, with implications for drug discovery, functional annotation, and molecular …
Prediction of protein secondary structure based on WS-BiLSTM model
Y Gao, Y Zhao, Y Ma, Y Liu - Symmetry, 2022 - mdpi.com
Protein secondary structure prediction is an important topic in bioinformatics. This paper
proposed a novel model named WS-BiLSTM, which combined the wavelet scattering …
proposed a novel model named WS-BiLSTM, which combined the wavelet scattering …
蛋白质二级结构在线服务器预测评估.
朱树平， 刘毅慧 - Chinese Journal of Bioinformatics, 2019 - search.ebscohost.com
蛋白质二级结构的预测, 对于研究蛋白质的功能和人类生命科学意义非凡. 1951
年开始提出预测蛋白质二级结构, 1983 年对于二级结构的预测只有50% 的准确率 …
年开始提出预测蛋白质二级结构, 1983 年对于二级结构的预测只有50% 的准确率 …
[PDF][PDF] Secondary structure prediction of protein based on multi scale convolutional attention neural networks
Y Xu, J Cheng - Mathematical biosciences and engineering: MBE, 2021 - aimspress.com
To fully extract the local and long-range information of amino acid sequences and enhance
the effective information, this research proposes a secondary structure prediction model of …
the effective information, this research proposes a secondary structure prediction model of …
Protein Secondary Structure Online Server Predictive Evaluation
S Zhu, Y Liu - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
The prediction of protein secondary structure is of great significance for studying the function
of proteins and for making progress in the field of bioinformatics. Since 1951, the secondary …
of proteins and for making progress in the field of bioinformatics. Since 1951, the secondary …
Prediction of protein secondary structure based on deep residual convolutional neural network
J Cheng, Y Xu, Y Zhao - Biotechnology & Biotechnological …, 2021 - Taylor & Francis
Proteins play a vital role in organisms, which suggests that in-depth study of the function of
proteins is helpful to the application of proteins in a more accurate and effective way …
proteins is helpful to the application of proteins in a more accurate and effective way …
Ensemble learning for protein secondary structure analysis
Determining the correct secondary structures of protein is one of the key roles in predicting
the right folded shape, which is used for determining gene function. In this study, we …
the right folded shape, which is used for determining gene function. In this study, we …