Yaoqi Zhou
Yaoqi Zhou
Professor, Institute for Glycomics and School of Information and Communication Technology, Griffith
Verified email at griffith.edu.au - Homepage
TitleCited byYear
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
Interpreting the folding kinetics of helical proteins
Y Zhou, M Karplus
Nature 401 (6751), 400-403, 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
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
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
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
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
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
First-order disorder-to-order transition in an isolated homopolymer model
Y Zhou, CK Hall, M Karplus
Physical review letters 77 (13), 2822, 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
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
Folding rate prediction using total contact distance
H Zhou, Y Zhou
Biophysical journal 82 (1), 458-463, 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
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
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
Chemical association in simple models of molecular and ionic fluids
G Stell, Y Zhou
The Journal of Chemical Physics 91 (6), 3618-3623, 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
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
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
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
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