What is he best known for?
The fields of study he is best known for:
Michael Feig mainly investigates Molecular dynamics, Solvation, Chemical physics, Crystallography and Computational chemistry.
His research integrates issues of Solvent, Macromolecule, Solvation shell, Protein structure and Diffusion in his study of Molecular dynamics.
His Chemical physics research integrates issues from Membrane, Lipid bilayer, Biological membrane and Force field.
Within one scientific family, Michael Feig focuses on topics pertaining to Dihedral angle under Force field, and may sometimes address concerns connected to Thermodynamics and Protein folding.
His work carried out in the field of Crystallography brings together such families of science as Side chain and DNA.
His study focuses on the intersection of Computational chemistry and fields such as Potential energy with connections in the field of Drude particle, Ab initio, Molecular model and Computational science.
His most cited work include:
- CHARMM: the biomolecular simulation program. (4881 citations)
- 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. (2578 citations)
- Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles. (2086 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Molecular dynamics, Biophysics, Chemical physics, Protein structure and Crystallography.
His Molecular dynamics study improves the overall literature in Computational chemistry.
His Biophysics research includes elements of Macromolecule, Cytoplasm, Biochemistry, Active site and RNA polymerase II.
His research investigates the connection with Chemical physics and areas like Solvation which intersect with concerns in Statistical physics, Poisson–Boltzmann equation and Folding.
As part of one scientific family, Michael Feig deals mainly with the area of Protein structure, narrowing it down to issues related to the Algorithm, and often Sampling.
The various areas that Michael Feig examines in his Crystallography study include Base pair and Hydrogen bond.
He most often published in these fields:
- Molecular dynamics (49.77%)
- Biophysics (23.47%)
- Chemical physics (17.84%)
What were the highlights of his more recent work (between 2015-2021)?
- Molecular dynamics (49.77%)
- Biophysics (23.47%)
- Protein structure (16.90%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Molecular dynamics, Biophysics, Protein structure, Chemical physics and Macromolecule.
Michael Feig works in the field of Molecular dynamics, focusing on Force field in particular.
His Force field research is classified as research in Computational chemistry.
His research brings together the fields of Molecular model and Protein structure.
He interconnects Intrinsically disordered proteins, Nucleic acid, Polymer and Rotational diffusion in the investigation of issues within Chemical physics.
His Macromolecule research also works with subjects such as
- Cytoplasm and related Macromolecular Substances,
- Dynamics that intertwine with fields like Structural biology and Crystallography.
Between 2015 and 2021, his most popular works were:
- CHARMM36m: An improved force field for folded and intrinsically disordered proteins (1149 citations)
- Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm (143 citations)
- Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm (143 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Molecular dynamics, Protein structure, Force field, Biophysics and Macromolecule.
His Molecular dynamics study introduces a deeper knowledge of Computational chemistry.
His studies deal with areas such as Machine learning, Molecular model and Artificial intelligence as well as Protein structure.
His Force field research incorporates elements of Chemical physics and Intrinsically disordered proteins.
The study incorporates disciplines such as Solvent, Viscosity, Molecule, Intermolecular force and Protein–protein interaction in addition to Biophysics.
His Macromolecule study incorporates themes from Cytoplasm and Dynamics.
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