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Progress in the prediction of pKa values in proteins
The pKa‐cooperative aims to provide a forum for experimental and theoretical researchers
interested in protein pKa values and protein electrostatics in general. The first round of the …
interested in protein pKa values and protein electrostatics in general. The first round of the …
On the role of electrostatics in protein–protein interactions
Z Zhang, S Witham, E Alexov - Physical biology, 2011 - iopscience.iop.org
The role of electrostatics in protein–protein interactions and binding is reviewed in this
paper. A brief outline of the computational modeling, in the framework of continuum …
paper. A brief outline of the computational modeling, in the framework of continuum …
[HTML][HTML] A suite of tutorials for the WESTPA rare-events sampling software [Article v1. 0]
The weighted ensemble (WE) strategy has been demonstrated to be highly efficient in
generating pathways and rate constants for rare events such as protein folding and protein …
generating pathways and rate constants for rare events such as protein folding and protein …
Calculating protein–ligand binding affinities with MMPBSA: Method and error analysis
C Wang, PH Nguyen, K Pham, D Huynh… - Journal of …, 2016 - Wiley Online Library
Molecular Mechanics Poisson–Boltzmann Surface Area (MMPBSA) methods have become
widely adopted in estimating protein–ligand binding affinities due to their efficiency and high …
widely adopted in estimating protein–ligand binding affinities due to their efficiency and high …
Prediction of Protein p K a with Representation Learning
The behavior of proteins is closely related to the protonation states of the residues.
Therefore, prediction and measurement of pKa are essential to understand the basic …
Therefore, prediction and measurement of pKa are essential to understand the basic …
Protein pKa Prediction by Tree-Based Machine Learning
Protonation states of ionizable protein residues modulate many essential biological
processes. For correct modeling and understanding of these processes, it is crucial to …
processes. For correct modeling and understanding of these processes, it is crucial to …
Computational analysis of missense mutations causing Snyder‐Robinson syndrome
Abstract The Snyder‐Robinson syndrome is caused by missense mutations in the spermine
sythase gene that encodes a protein (SMS) of 529 amino acids. Here we investigate, in …
sythase gene that encodes a protein (SMS) of 529 amino acids. Here we investigate, in …
Electrostatic Orientation of Optically Asymmetric Janus Particles
Janus micro-and nanoparticles, featuring unique dual-interface designs, are at the forefront
of rapidly advancing fields such as optics, medicine, and chemistry. Accessible control over …
of rapidly advancing fields such as optics, medicine, and chemistry. Accessible control over …
Structure and relaxation in solutions of monoclonal antibodies
Reversible self-association of therapeutic antibodies is a key factor in high protein solution
viscosities. In the present work, a coarse-grained computational model accounting for …
viscosities. In the present work, a coarse-grained computational model accounting for …
A fast and robust Poisson–Boltzmann solver based on adaptive Cartesian grids
AH Boschitsch, MO Fenley - Journal of chemical theory and …, 2011 - ACS Publications
An adaptive Cartesian grid (ACG) concept is presented for the fast and robust numerical
solution of the 3D Poisson–Boltzmann equation (PBE) governing the electrostatic …
solution of the 3D Poisson–Boltzmann equation (PBE) governing the electrostatic …