Yaoqi Zhou - Google Scholar Citations

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Yuedong YangSchool of Data and Computer Sciene, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Chi ZhangSchool of Biological Sciences, University of Nebraska, Lincoln, NEVerified email at unl.edu
Song LiuProfessor, Director of Bioinformatics, Roswell Park Comprehensive Cancer CenterVerified email at roswellpark.org
Eshel FaraggiAdjunct Professor, Physics, IUPUI; Physicist, Research and Information Systems; Consultant, BattelleVerified email at iupui.edu
Carol HallNorth Carolina State UniversityVerified email at ncsu.edu
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au
Rhys HeffernanGriffith UniversityVerified email at griffith.edu.au
Tuo ZhangSenior Research Associate, Weill Cornell Medical CollegeVerified email at med.cornell.edu
James LyonsUnaffiliatedVerified email at griffithuni.edu.au
bin xueUniversity of South FloridaVerified email at usf.edu
Abdul SattarProfessor of Computer Science, Griffith UniversityVerified email at griffith.edu.au
Abdollah 'Iman' DehzangiDepartment of Computer Science, Morgan State UniversityVerified email at morgan.edu
Alok SharmaSenior Scientist at RIKEN; University of the South Pacific; Griffith UniversityVerified email at griffith.edu.au
David N. CooperProfessor of Human Molecular Genetics, Cardiff University, UKVerified email at cardiff.ac.uk
Lukasz KurganComputer Science, Virginia Commonwealth UniversityVerified email at vcu.edu
A. Keith DunkerProfessor of Biochemistry,Indiana University School of MedicineVerified email at iupui.edu
Liang DaiCity University of Hong Kong; National University of Singapore ; Indiana University; MIT;Verified email at cityu.edu.hk
Jack HansonSignal Processing Laboratory, Griffith UniversityVerified email at griffithuni.edu.au
Vladimir UverskyAssociate Professor, USF; Professor, KAU; Leading Scientist, Institute for BiologicalVerified email at health.usf.edu
Apichart LinhanantaLakehead UniversityVerified email at lakeheadu.ca

Yaoqi Zhou

Professor, Institute for Glycomics and School of Information and Communication Technology, Griffith

Verified email at griffith.edu.au - Homepage

Computational Biology Bioinformatics Biophysics Molecular Biology Cellular Biology


Title	Cited by	Year
Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction H Zhou, Y Zhou Protein science 11 (11), 2714-2726, 2002	861	2002
Interpreting the folding kinetics of helical proteins Y Zhou, M Karplus Nature 401 (6751), 400-403, 1999	294	1999
A knowledge-based energy function for protein-ligand, protein-protein, and protein-DNA complexes C Zhang, S Liu, Q Zhu, Y Zhou Journal of medicinal chemistry 48 (7), 2325-2335, 2005	249	2005
Protein binding site prediction using an empirical scoring function S Liang, C Zhang, S Liu, Y Zhou Nucleic acids research 34 (13), 3698-3707, 2006	232	2006
Fold recognition by combining sequence profiles derived from evolution and from depth‐dependent structural alignment of fragments H Zhou, Y Zhou Proteins: Structure, Function, and Bioinformatics 58 (2), 321-328, 2005	228	2005
Equilibrium thermodynamics of homopolymers and clusters: molecular dynamics and Monte Carlo simulations of systems with square-well interactions Y Zhou, M Karplus, JM Wichert, CK Hall The Journal of chemical physics 107 (24), 10691-10708, 1997	222	1997
Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and … Y Yang, E Faraggi, H Zhao, Y Zhou Bioinformatics 27 (15), 2076-2082, 2011	212	2011
The distance fluctuation criterion for melting: Comparison of square-well and Morse potential models for clusters and homopolymers Y Zhou, M Karplus, KD Ball, RS Berry The Journal of chemical physics 116 (5), 2323-2329, 2002	204	2002
First-order disorder-to-order transition in an isolated homopolymer model Y Zhou, CK Hall, M Karplus Physical review letters 77 (13), 2822, 1996	200	1996
Folding thermodynamics of a model three-helix-bundle protein Y Zhou, M Karplus Proceedings of the National Academy of Sciences 94 (26), 14429-14432, 1997	197	1997
Single‐body residue‐level knowledge‐based energy score combined with sequence‐profile and secondary structure information for fold recognition H Zhou, Y Zhou Proteins: Structure, Function, and Bioinformatics 55 (4), 1005-1013, 2004	191	2004
Folding rate prediction using total contact distance H Zhou, Y Zhou Biophysical journal 82 (1), 458-463, 2002	186	2002
SPINE X: improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles E Faraggi, T Zhang, Y Yang, L Kurgan, Y Zhou Journal of computational chemistry 33 (3), 259-267, 2012	180	2012
Specific interactions for ab initio folding of protein terminal regions with secondary structures Y Yang, Y Zhou Proteins: Structure, Function, and Bioinformatics 72 (2), 793-803, 2008	180	2008
Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ... Scientific reports 5, 11476, 2015	172	2015
Chemical association in simple models of molecular and ionic fluids G Stell, Y Zhou The Journal of Chemical Physics 91 (6), 3618-3623, 1989	162	1989
An accurate, residue‐level, pair potential of mean force for folding and binding based on the distance‐scaled, ideal‐gas reference state C Zhang, S Liu, H Zhou, Y Zhou Protein Science 13 (2), 400-411, 2004	161	2004
A physical reference state unifies the structure‐derived potential of mean force for protein folding and binding S Liu, C Zhang, H Zhou, Y Zhou Proteins: Structure, Function, and Bioinformatics 56 (1), 93-101, 2004	160	2004
Native proteins are surface-molten solids: application of the Lindemann criterion for the solid versus liquid state Y Zhou, D Vitkup, M Karplus Journal of molecular biology 285 (4), 1371-1375, 1999	154	1999
Achieving 80% ten‐fold cross‐validated accuracy for secondary structure prediction by large‐scale training O Dor, Y Zhou Proteins: Structure, Function, and Bioinformatics 66 (4), 838-845, 2007	134	2007

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