Michael Feig

Molecular Biology · 2003–2021

A researcher in the Science corpus: 17 papers; trusts 117 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 287 citations into it; #657 of 17,773 by trust here, #1,035 by citations
• Materials Chemistry — 151 citations into it; #403 of 11,513 by trust here, #1,881 by citations
• Atomic and Molecular Physics, and Optics — 69 citations into it; #2,820 of 7,135 by trust here, #709 by citations
• Computational Biology & Bioinformatics — 62 citations into it
• Spectroscopy — 43 citations into it; #139 of 1,674 by trust here, #334 by citations
• Computational Theory and Mathematics — 35 citations into it
• Cellular and Molecular Neuroscience — 20 citations into it
• Computational Chemistry & Drug Discovery — 19 citations into it; #273 of 425 by trust here, #371 by citations

Whom Michael Feig trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yang Zhang
2. Alexander D. MacKerell
3. David Baker
4. Matthew P. Jacobson
5. Justin L. MacCallum
6. Jeffrey Skolnick
7. Andrej Sali
8. Roland L. Dunbrack
9. V. Mirjalili
10. Hahnbeom Park

Who trusts Michael Feig overall

1. Lim Heo
2. Bercem Dutagaci
3. Collin F Arbour
4. Justin A. Lemkul
5. Hahnbeom Park
6. Trilce Estrada
7. Alexander D. MacKerell
8. Freddie R. Salsbury Jr.
9. Robin Pearce
10. Sunhwan Jo

Papers from Michael Feig's perspective

Ordered by how strongly the researchers Michael Feig trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Protein Data Bank.
2. Highly accurate protein structure prediction with AlphaFold
3. Progress over the first decade of CASP experiments
4. Protein Structure Prediction and Structural Genomics
5. Basic local alignment search tool.
6. LGA: a method for finding 3D similarities in protein structures
7. TM-align: a protein structure alignment algorithm based on the TM-score
8. Assessment of template based protein structure predictions in CASP9
9. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
10. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)

Their papers

• CHARMM: The biomolecular simulation program (2009) — 8,319 citations
• Physics Based Protein Structure Refinement through Multiple Molecular Dynamics Trajectories and Structure Averaging (2013) — 100 citations
• Computational protein structure refinement: Almost there, yet still so far to go (2017) — 83 citations
• Experimental accuracy in protein structure refinement via molecular dynamics simulations (2018) — 66 citations
• Driven to Near-Experimental Accuracy by Refinement via Molecular Dynamics Simulations (2019) — 31 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 (2004) — 3,302 citations
• CHARMM36m: An Improved Force Field for Folded and Intrinsically Disordered Proteins (2016) — 6,170 citations
• New analytic approximation to the standard molecular volume definition and its application to generalized Born calculations (2003) — 466 citations
• Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ1 and χ2 dihedral angles (2012) — 4,191 citations
• MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology. (2004) — 839 citations
• Recent advances in the development and application of implicit solvent models in biomolecule simulations. (2004) — 535 citations
• Multi-State Modeling of G-protein Coupled Receptors at Experimental Accuracy (2021) — 181 citations
• Improved treatment of the protein backbone in empirical force fields. (2004) — 929 citations
• Performance comparison of generalized born and Poisson methods in the calculation of electrostatic solvation energies for protein structures (2004) — 553 citations
• High order matched interface and boundary method for elliptic equations with discontinuous coefficients and singular sources (2006) — 394 citations
• Structure Refinement of Membrane Proteins via Molecular Dynamics Simulations (2018) — 17 citations
• CHARMM36: An Improved Force Field for Folded and Intrinsically Disordered Proteins (2017) — 136 citations