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Chemistry

D-Index
66
Citations
40351
World Ranking
7141
National Ranking
2123

Research.com Recognitions

  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Michael Feig is affiliated with Michigan State University in the United States. Their primary research areas fall within Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology.

The researcher has contributed extensively to topics including:

  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • RNA modifications and cancer
  • Bacteriophages and microbial interactions
  • Machine Learning in Materials Science

Some recent notable publications by Michael Feig include:

  • "Multi-state modeling of G-protein coupled receptors at experimental accuracy" (2022), published in Proteins Structure Function and Bioinformatics
  • "Direct generation of protein conformational ensembles via machine learning" (2023), published in Nature Communications
  • "Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement" (2020), published in bioRxiv (Cold Spring Harbor Laboratory)
  • "New parallel computing algorithm of molecular dynamics for extremely huge scale biological systems" (2020), published in Journal of Computational Chemistry
  • "CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed" (2024), published in The Journal of Physical Chemistry B

Michael Feig frequently publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biophysical Journal
  • The Journal of Physical Chemistry B
  • Journal of Chemical Theory and Computation
  • Proteins Structure Function and Bioinformatics

The scientist collaborates regularly with several co-authors across multiple studies, including:

  • Lim Heo
  • Lisa J. Lapidus
  • Giacomo Janson
  • Alexander Jussupow
  • Gilberto Valdés-García

In 2005, Michael Feig was recognized as a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • CHARMM: the biomolecular simulation program.

    B. R. Brooks;C. L. Brooks;A. D. Mackerell;L. Nilsson

  • CHARMM36m: An improved force field for folded and intrinsically disordered proteins

    Jing Huang;Sarah Rauscher;Grzegorz Nawrocki;Ting Ran

  • 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.

    Robert B. Best;Xiao Zhu;Jihyun Shim;Pedro E. M. Lopes

  • 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

  • Improved treatment of the protein backbone in empirical force fields.

    Alexander D. MacKerell;Michael Feig;Charles L. Brooks

  • MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology

    Michael Feig;John Karanicolas;Charles L. Brooks

  • Performance comparison of generalized born and Poisson methods in the calculation of electrostatic solvation energies for protein structures.

    Michael Feig;Alexey Onufriev;Michael S. Lee;Wonpil Im

  • Recent advances in the development and application of implicit solvent models in biomolecule simulations.

    Michael Feig;Charles L Brooks

  • New analytic approximation to the standard molecular volume definition and its application to generalized Born calculations.

    Michael S. Lee;Michael Feig;Freddie R. Salsbury;Charles L. Brooks

  • An Implicit Membrane Generalized Born Theory for the Study of Structure, Stability, and Interactions of Membrane Proteins

    Wonpil Im;Michael Feig;Charles L. Brooks

  • Solvation and hydration of proteins and nucleic acids: a theoretical view of simulation and experiment.

    Vladimir Makarov;B. Montgomery Pettitt;Michael Feig

  • Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm

    Isseki Yu;Takaharu Mori;Tadashi Ando;Ryuhei Harada

  • Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008

    Mayako Michino;Enrique Abola;Charles L. Brooks;J. Scott Dixon

  • Multi‐state modeling of G‐protein coupled receptors at experimental accuracy

    Unknown

  • Sodium and Chlorine Ions as Part of the DNA Solvation Shell

    Michael Feig;B. Montgomery Pettitt

  • Force field influence on the observation of π-helical protein structures in molecular dynamics simulations

    Michael Feig;Alexander D. Mackerell;Charles L. Brooks

  • Protein Crowding Affects Hydration Structure and Dynamics

    Ryuhei Harada;Yuji Sugita;Michael Feig;Michael Feig

  • GENESIS: a hybrid-parallel and multi-scale molecular dynamics simulator with enhanced sampling algorithms for biomolecular and cellular simulations

    Jaewoon Jung;Takaharu Mori;Chigusa Kobayashi;Yasuhiro Matsunaga

  • A distinct type of glycerol-3-phosphate acyltransferase with sn-2 preference and phosphatase activity producing 2-monoacylglycerol

    Weili Yang;Mike Pollard;Yonghua Li-Beisson;Fred Beisson

  • A generalized Born formalism for heterogeneous dielectric environments: application to the implicit modeling of biological membranes.

    Seiichiro Tanizaki;Michael Feig

  • Diffusion of solvent around biomolecular solutes: a molecular dynamics simulation study.

    Vladimir A. Makarov;Vladimir A. Makarov;Michael Feig;B. Kim Andrews;B. Montgomery Pettitt

  • Implicit solvation based on generalized Born theory in different dielectric environments.

    Michael Feig;Wonpil Im;Charles L. Brooks

Frequent Co-Authors

Yuji Sugita
Yuji Sugita RIKEN Center for Biosystems Dynamics Research
Charles L. Brooks
Charles L. Brooks University of Michigan–Ann Arbor
Alexander D. MacKerell
Alexander D. MacKerell University of Maryland, Baltimore
B. Montgomery Pettitt
B. Montgomery Pettitt The University of Texas Medical Branch at Galveston
Wonpil Im
Wonpil Im Lehigh University
Vladimir Makarov
Vladimir Makarov Memorial Sloan Kettering Cancer Center
Guo-Wei Wei
Guo-Wei Wei Michigan State University
Robert P. Hausinger
Robert P. Hausinger Michigan State University
Helmut Grubmüller
Helmut Grubmüller Max Planck Society
Hui Li
Hui Li Beijing University of Chemical Technology

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