The scientist’s investigation covers issues in Molecular dynamics, Statistical physics, Crystallography, Computational chemistry and Protein folding. His Molecular dynamics research is multidisciplinary, relying on both Protein structure, Dihedral angle, Chemical physics and Thermodynamics. He focuses mostly in the field of Statistical physics, narrowing it down to matters related to Solvation and, in some cases, Poisson–Boltzmann equation, Function and Poisson distribution.
His studies deal with areas such as Biophysics and Capsid as well as Crystallography. His Computational chemistry research is multidisciplinary, incorporating elements of Solvent effects and Potential energy. His studies in Protein folding integrate themes in fields like Folding, Ab initio, Molecular model and Protein topology.
Charles L. Brooks mostly deals with Molecular dynamics, Crystallography, Protein structure, Protein folding and Biophysics. Molecular dynamics is a subfield of Computational chemistry that Charles L. Brooks investigates. He has included themes like Solvation and Solvent models in his Computational chemistry study.
His Crystallography research focuses on Capsid and how it relates to Icosahedral symmetry. His Protein structure study frequently draws parallels with other fields, such as Peptide sequence. His study in Protein folding is interdisciplinary in nature, drawing from both Folding, Native state and Energy landscape.
His primary scientific interests are in Molecular dynamics, Biophysics, Crystallography, Protein structure and Biochemistry. Molecular dynamics is a subfield of Computational chemistry that Charles L. Brooks explores. Charles L. Brooks has researched Computational chemistry in several fields, including Solvent models and Solvation.
His Biophysics research incorporates themes from RNA, Chaperone, Small molecule, Side chain and Allosteric regulation. The concepts of his Protein structure study are interwoven with issues in Biological system and Protein folding. His Protein folding study combines topics from a wide range of disciplines, such as Native state and Computational biology.
Charles L. Brooks mainly investigates Molecular dynamics, Biophysics, Protein structure, Computational chemistry and Crystallography. His studies deal with areas such as Chemical physics, RNA, Protonation, Combinatorial chemistry and Peptide as well as Molecular dynamics. The study incorporates disciplines such as Endosome, Biochemistry, Small molecule, Binding site and Lipid bilayer in addition to Biophysics.
His research in Protein structure intersects with topics in Plasma protein binding, Stereochemistry, Chaperone and Enzyme. Charles L. Brooks studies Force field, a branch of Computational chemistry. The Crystallography study combines topics in areas such as Base pair, Conformational change, Ribosome and Protein folding.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CHARMM: the biomolecular simulation program.
B. R. Brooks;C. L. Brooks;A. D. Mackerell;L. Nilsson.
Journal of Computational Chemistry (2009)
Extending the treatment of backbone energetics in protein force fields: limitations of gas-phase quantum mechanics in reproducing protein conformational distributions in molecular dynamics simulations.
Alexander D. Mackerell;Michael Feig;Charles L. Brooks.
Journal of Computational Chemistry (2004)
Proteins: A Theoretical Perspective of Dynamics, Structure, and Thermodynamics
C. L. Brooks;M. Karplus;B. Montgomery Pettitt;Robert H. Austin.
Detailed analysis of grid-based molecular docking: A case study of CDOCKER-A CHARMm-based MD docking algorithm.
Guosheng Wu;Daniel H. Robertson;Charles L. Brooks;Michal Vieth.
Journal of Computational Chemistry (2003)
CHARMM-GUI Input Generator for NAMD, Gromacs, Amber, Openmm, and CHARMM/OpenMM Simulations using the CHARMM36 Additive Force Field
Jumin Lee;Xi Cheng;Jason M. Swails;Min Sun Yeom.
Journal of Chemical Theory and Computation (2016)
Improved treatment of the protein backbone in empirical force fields.
Alexander D. MacKerell;Michael Feig;Charles L. Brooks.
Journal of the American Chemical Society (2004)
MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology
Michael Feig;John Karanicolas;Charles L. Brooks.
Journal of Molecular Graphics & Modelling (2004)
A modified TIP3P water potential for simulation with Ewald summation.
Daniel J. Price;Charles L. Brooks.
Journal of Chemical Physics (2004)
CHARMM: The Energy Function and Its Parameterization
Alexander D. MacKerell;Bernard Brooks;Charles L. Brooks;Lennart Nilsson.
Encyclopedia of Computational Chemistry (2002)
Generalized born model with a simple smoothing function
Wonpil Im;Michael S. Lee;Charles L. Brooks.
Journal of Computational Chemistry (2003)
Profile was last updated on December 6th, 2021.
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