Yaoqi Zhou

Affiliations: 
State University of New York, Buffalo, Buffalo, NY, United States 
Area:
General Biophysics, Bioinformatics Biology
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"Yaoqi Zhou"
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Parents

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Martin Karplus post-doc 1995-2000 Harvard (Chemistry Tree)

Children

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Qianqian Zhu grad student SUNY Buffalo (FlyTree)
Beisi Xu grad student 2007-2008 Indiana University - Purdue University in Indianapolis Medical School (Neurotree)
Yuedong Yang post-doc 2006-2012 Indiana University (Chemistry Tree)
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Publications

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Zhou Y, Litfin T, Zhan J. (2023) 3 = 1 + 2: how the divide conquered de novo protein structure prediction and what is next? National Science Review. 10: nwad259
Zhou B, Ji B, Shen C, et al. (2023) EVLncRNAs 3.0: an updated comprehensive database for manually curated functional long non-coding RNAs validated by low-throughput experiments. Nucleic Acids Research
Song Y, Yuan Q, Chen S, et al. (2023) Fast and accurate protein intrinsic disorder prediction by using a pretrained language model. Briefings in Bioinformatics
Zhou B, Ding M, Feng J, et al. (2022) EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning. Briefings in Bioinformatics
Singh J, Paliwal K, Litfin T, et al. (2022) Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling. Bioinformatics (Oxford, England)
Singh J, Paliwal K, Litfin T, et al. (2022) Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment. Scientific Reports. 12: 7607
Singh J, Litfin T, Singh J, et al. (2022) SPOT-Contact-LM: Improving Single-Sequence-Based Prediction of Protein Contact Map using a Transformer Language Model. Bioinformatics (Oxford, England)
Yuan Q, Chen J, Zhao H, et al. (2021) Structure-aware protein-protein interaction site prediction using deep graph convolutional network. Bioinformatics (Oxford, England)
Singh J, Litfin T, Paliwal K, et al. (2021) 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. Bioinformatics (Oxford, England)
Zhou B, Ji B, Liu K, et al. (2020) EVLncRNAs 2.0: an updated database of manually curated functional long non-coding RNAs validated by low-throughput experiments. Nucleic Acids Research
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