Prediction of protein secondary structure from circular dichroism using theoretically derived spectra von Louis-Jeune, Caroline, Andrade-Navarro, Miguel A., Perez-Iratxeta, Carol

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Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility von Heffernan, Rhys, Yang, Yuedong, Paliwal, Kuldip, Zhou, Yaoqi

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Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks von Hanson, Jack, Paliwal, Kuldip, Litfin, Thomas, Yang, Yuedong, Zhou, Yaoqi

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Prediction of protein secondary structure from circular dichroism using theoretically derived spectra von Louis-Jeune, Caroline, Andrade-Navarro, Miguel A., Perez-Iratxeta, Carol

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SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity von Magnan, Christophe N, Baldi, Pierre

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Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility von Mirabello, Claudio, Pollastri, Gianluca

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Prediction of protein secondary structure by the improved TCN-BiLSTM-MHA model with knowledge distillation von Zhao, Lufei, Li, Jingyi, Zhan, Weiqiang, Jiang, Xuchu, Zhang, Biao

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Simultaneous prediction of protein secondary structure and transmembrane spans von Leman, Julia Koehler, Mueller, Ralf, Karakas, Mert, Woetzel, Nils, Meiler, Jens

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Prediction of Protein Secondary Structure

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Prediction of protein secondary structure von Zhou, Yaoqi, Kloczkowski, Andrzej, Faraggi, Eshel, Yang, Yuedong

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SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity von Urban, Gregor, Magnan, Christophe N, Baldi, Pierre

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SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning von Singh, Jaspreet, Litfin, Thomas, Paliwal, Kuldip, Singh, Jaswinder, Hanumanthappa, Anil Kumar, Zhou, Yaoqi

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A Deep Learning Approach for Prediction of Protein Secondary Structure von Zubair, Muhammad, Kashif Hanif, Muhammad, Alabdulkreem, Eatedal, Ghadi, Yazeed, Irfan Khan, Muhammad, Umer Sarwar, Muhammad, Hanif, Ayesha

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Prediction of Protein Secondary Structure Based on WS-BiLSTM Model von Gao, Yang, Zhao, Yawu, Ma, Yuming, Liu, Yihui

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Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles von Pollastri, Gianluca, Przybylski, Darisz, Rost, Burkhard, Baldi, Pierre

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Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron von Carkli Yavuz, Burcu, Yurtay, Nilufer, Ozkan, Ozhan

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Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module von Jin, Xin, Guo, Lin, Jiang, Qian, Wu, Nan, Yao, Shaowen

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Prediction of Protein Secondary Structure at Better than 70% Accuracy von Rost, Burkhard, Sander, Chris

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A Bi-LSTM Based Ensemble Algorithm for Prediction of Protein Secondary Structure von Hu, Hailong, Li, Zhong, Elofsson, Arne, Xie, Shangxin

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Prediction of protein secondary structure based on deep residual convolutional neural network von Cheng, Jinyong, Xu, Ying, Zhao, Yunxiang

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