C
Changhao Wang
Researcher at University of California, Irvine
Publications - 8
Citations - 619
Changhao Wang is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Solvent models & Implicit solvation. The author has an hindex of 8, co-authored 8 publications receiving 445 citations.
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Journal ArticleDOI
Recent Developments and Applications of the MMPBSA Method.
TL;DR: The methodology review covers solvation terms, the entropy term, extensions to membrane proteins and high-speed screening, and new automation toolkits, and recent applications in various important biomedical and chemical fields are reviewed.
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Calculating protein-ligand binding affinities with MMPBSA: Method and error analysis.
Changhao Wang,Peter H. Nguyen,Kevin Pham,Danielle Huynh,Thanh-Binh Nancy Le,Hongli Wang,Pengyu Ren,Ray Luo +7 more
TL;DR: Upon correction of the binding‐induced rearrangement free energy and the binding entropy lost, the errors in absolute binding affinities were also reduced dramatically when the modern nonpolar solvent model was used, although further developments were apparently necessary to further improve the MMPBSA methods.
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Exploring accurate Poisson-Boltzmann methods for biomolecular simulations.
TL;DR: A second-order finite-difference numerical method to solve the widely used Poisson-Boltzmann equation for electrostatic analyses of realistic bio-molecules is explored and found to deliver more accurate and better-converged grid potentials than the classical method on or nearby the molecular surface.
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Recent progress in adapting Poisson–Boltzmann methods to molecular simulations
Li Xiao,Changhao Wang,Ray Luo +2 more
TL;DR: In this article, the authors provide a thorough review of published efforts to adapt the numerical Poisson-Boltzmann methods to molecular simulations so that these methods can be extended to biomolecular studies involving conformational fluctuation and/or dynamics.
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Exploring a charge-central strategy in the solution of Poisson's equation for biomolecular applications
TL;DR: This study explored and evaluated a strategy based on the "induced surface charge" to eliminate the dielectric jump within the finite-difference discretization scheme and showed that the strategy is consistent with theory and the classical finite-Difference method on the tested systems.