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Disambiguation of "Zhou, Yaoqi"

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Predicting lysine-malonylation sites of proteins using sequence and predicted structural features.

, , , , , and . J. Comput. Chem., 39 (22): 1757-1763 (2018)

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Zhou Zhou

Zhou Zhou

Jun Zhou

Zhou Zhao

Yayun Zhou

 

Other publications of authors with the same name

Effective protein conformational sampling based on predicted torsion angles., and . J. Comput. Chem., 37 (11): 976-980 (2016)Web-based toolkits for topology prediction of transmembrane helical proteins, fold recognition, structure and binding scoring, folding-kinetics analysis and comparative analysis of domain combinations., , , and . Nucleic Acids Res., 33 (Web-Server-Issue): 193-197 (2005)Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network., , , , , , , and . J. Comput. Chem., 35 (28): 2040-2046 (2014)Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins., , , , , , , , and . Bioinform., 32 (6): 843-849 (2016)DDIG-in: detecting disease-causing genetic variations due to frameshifting indels and nonsense mutations employing sequence and structural properties at nucleotide and protein levels., , , , , , , , and . Bioinform., 31 (10): 1599-1606 (2015)Predicting lysine-malonylation sites of proteins using sequence and predicted structural features., , , , , and . J. Comput. Chem., 39 (22): 1757-1763 (2018)Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling., , , , and . Bioinform., 38 (16): 3900-3910 (2022)De novo protein design by an energy function based on series expansion in distance and orientation dependence., , , and . Bioinform., 38 (1): 86-93 (2021)DescribePROT: database of amino acid-level protein structure and function predictions., , , , , , , , , and 4 other author(s). Nucleic Acids Res., 49 (Database-Issue): D298-D308 (2021)Structure-based prediction of protein- peptide binding regions using Random Forest., , , and . Bioinform., 34 (3): 477-484 (2018)