M
Michael Feig
Researcher at Michigan State University
Publications - 193
Citations - 28987
Michael Feig is an academic researcher from Michigan State University. The author has contributed to research in topics: Molecular dynamics & Solvation. The author has an hindex of 54, co-authored 181 publications receiving 24201 citations. Previous affiliations of Michael Feig include Scripps Research Institute & RIKEN Quantitative Biology Center.
Papers
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Journal ArticleDOI
Aberrant activity of the DNA repair enzyme AlkB.
TL;DR: Protein structural modeling confirms that Trp 178 is reasonably positioned to react with the Fe(IV)-oxo intermediate proposed to form at the active site, and proposed to derive from Fe(III) coordinated by a hydroxytryptophan at position 178 as revealed by mass spectrometric analysis.
Journal ArticleDOI
Whole-Cell Models and Simulations in Molecular Detail.
Michael Feig,Yuji Sugita +1 more
TL;DR: Challenges in constructing and simulating physical, molecular-level models of cellular environments are outlined and near- and long-term opportunities for developing physical whole-cell models that can connect molecular structure with biological function are discussed.
Journal ArticleDOI
CHARMM36: An Improved Force Field for Folded and Intrinsically Disordered Proteins
Jing Huang,Sarah Rauscher,Grzegorz Nawrocki,Ting Ran,Michael Feig,Bert L. de Groot,Helmut Grubmüller,Alexander D. MacKerell +7 more
Journal ArticleDOI
The requirement for mechanical coupling between head and S2 domains in smooth muscle myosin ATPase regulation and its implications for dimeric motor function.
TL;DR: Physical models rationalize the empirical requirement for at least two heptads of non-coiled alpha-helix at the junction between the myosin heads and S2, and the dependence of regulation on S2 length and correlate well with biochemical data regarding altered conformational-dependent solubility and stability.
Book ChapterDOI
Recent advances in transferable coarse-grained modeling of proteins.
Parimal Kar,Michael Feig +1 more
TL;DR: This review discusses those CG protein models that are transferable and that retain chemical specificity and briefly review recent progress made in the multiscale hybrid all-atom/CG simulations of proteins.