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Guo-Wei Wei

Researcher at Michigan State University

Publications -  328
Citations -  16850

Guo-Wei Wei is an academic researcher from Michigan State University. The author has contributed to research in topics: Persistent homology & Solvation. The author has an hindex of 63, co-authored 320 publications receiving 12992 citations. Previous affiliations of Guo-Wei Wei include University of British Columbia & University of Houston System.

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Geometric and potential driving formation and evolution of biomolecular surfaces

TL;DR: New geometrical flow equations for the theoretical modeling of biomolecular surfaces in the context of multiscale implicit solvent models are presented and four numerical algorithms, a semi-implicit scheme, a Crank–Nicolson scheme, and two alternating direction implicit (ADI) schemes are constructed and tested.
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Decoding SARS-CoV-2 Transmission and Evolution and Ramifications for COVID-19 Diagnosis, Vaccine, and Medicine.

TL;DR: It is reported that SARS-CoV-2 has undergone 8309 single mutations which can be clustered into six subtypes, and mutations on 40% of nucleotides in the nucleocapsid gene in the population level are identified, signaling potential impacts on the ongoing development of COVID-19 diagnosis, vaccines, and antibody and small-molecular drugs.
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Rigidity Strengthening: A Mechanism for Protein-Ligand Binding.

TL;DR: The approach based solely on rigidity is able to unveil a surprisingly apparently long-range contribution of apparently four residue layers to protein-ligand binding, which has ramifications for drug and protein design.
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Plate vibration under irregular internal supports

TL;DR: In this article, the problem of plate vibration under complex and irregular internal support conditions has been addressed by using discrete singular convolution (DSC) for solving this problem, which exhibits controllable accuracy for approximations and shows excellent flexibility in handling complex geometries, boundary conditions and internal support condition.
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Treatment of geometric singularities in implicit solvent models.

TL;DR: The present MIBPB-II solver is systematical and robust in treating geometric singularities and delivers second order convergence for arbitrarily complex molecular surfaces of proteins.