Recent research interests related to computer-aided drug design

Biological targets: Our current focuses are on protein kinases and phosphatases.

Incorporation of protein flexibility in molecular docking:  In addition to performing molecular dynamics simulation to generate ensembles of protein structures for molecular docking, we have also developed simulated annealing cycling protocols to faciliate flexible ligand-flexible protein docking.  References:

Z. Huang & C.F. Wong, "Docking Flexible Peptide to Flexible Protein by Molecular Dynamics Using Two Implicit-Solvent Models: An Evaluation in Protein Kinase and Phosphatase Systems", J. Phys. Chem. B, 113 (2009) 14343-14354.

Z. Huang & C.F. Wong, "Conformational Selection of Protein Kinase A Revealed by Flexible-Ligand Flexible-Protein Docking", J. Comput. Chem. 30 (2009) 631-644.

C.F. Wong, “Flexible Ligand-Flexible Protein Docking in Protein Kinase Systems”, Biochim Biophys Acta., 1784 (2008) 244-251.

Z. Huang, C.F. Wong & R. Wheeler, "Flexible Protein-Flexible Ligand Docking with Disrupted Velocity Simulated Annealing", Proteins: Structure, Function, Bioinformatics, 7 (2008) 440-454.

Computational models for calculating binding affinity to aid lead optimization: Recently, we have combined the Poisson-Boltzmann solver in the University of Houston Brownian Dynamics Program with two quantum mechanical codes (PWSCF and SIESTA) to faciliate these calculations. References:

B. Zhou, M. Agarwal & C.F. Wong, “Variable Atomic Radii for Continuum-Solvent Electrostatics Calculation”, J. Chem. Phys. 129 (2008) 014509.

M. Wang, C. F. Wong, J. Liu & P. Zhang, "Efficient Quantum Mechanical Calculation of Solvation Free Energies Based on Density Functional Theory, Numerical Atomic Orbitals and Poisson–Boltzmann Equation", Chem. Phys. Lett., 442 (2007) 464-467.

M. Wang & C.F. Wong, "Rank-ordering Protein-Ligand Binding Affinity by a QM/MM/PBSA Model", J. Chem. Phys., 126 (2007) 026101.

M. Wang & C.F. Wong, “Calculation of Solvation Energy from Quantum Mechanical Charge Density and Continuum Dielectric Theory”, J. Phys. Chem. A, 110 (2006) 4873-4879. 

Pathway models for drug design: In addition to simulating the interaction of drugs or drug candidates with their direct biological targets, we are also simulating their effects on other molecular components of a signaling pathway. Reference:

M. Goyal, M. Rizzo, F. Schumacher & C.F. Wong, "Beyond Thermodynamics: Drug Binding Kinetics Could Influence Epidermal Growth Factor Signaling", J. Med. Chem., 52 (2009) 5582-5585.

Simulation of the kinetics of drug-binding to protein targets: As the kinetics of drug-binding, in addition to thermodynamics, might also determine the effectiveness of therapeutic drugs, we are performing simulation to study the kinetics of drug binding to biological targets.  Reference:

Z. Huang & C.F. Wong, "A Mining-Minima Approach to Exploring the Docking Pathways of p-Nitrocatechol Sulfate to YopH", Biophys. J.,  83 (2007) 4141-4150.

Design of inhibitors for the protein phosphatase YopH in Yersinia pestis:  Yersinia pestis is the bacterium that caused the Black dealth in the 14th century.  With experimental collaborators, we have been developing new drug candidates for this protein.  Reference:

Z. Huang, Y. He, X. Zhang, A. Gunawan, L. Wu, Z.-Y. Zhang & C. F. Wong, "Derivatives of Salicylic Acid as Inhibitors of YopH in Yersinia pestis", Chem. Biol. Drug Design, 76 (2010) 85-99.