Empirical force fields for biological macromolecules: Overview and issues
By Alexander D. MacKerell. 2004
1,206 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Molecular Biology
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In Atomic and Molecular Physics, and Optics
- Michael Feig
- Markus J. Buehler
- T. Ackbarow
- Sinan Keten
- Roland L. Dunbrack
- Maxim V. Shapovalov
- Paul Karplus
- D. Berkholz
In Molecular Biology
- Michael Feig
- Andriy Kryshtafovych
- T. Croll
- M. Sammito
- Roland L. Dunbrack
- Randy J. Read
- Maxim V. Shapovalov
- Paul Karplus
Citations in the corpus
- Evaluation of model refinement in CASP13 (2019, background): “21 Strength-ening these terms has the effect of pushing residues in marginal or disallowed conformations toward the nearest “ favored ” region of Ramachandran space.”
- Comparison of multiple Amber force fields and development of improved protein backbone parameters (2006, background): “Dihedral energy parameters in Eq. ( 3 ) corresponding to backbone u/w dihedrals (i.e., Vn and gn) are the adjustable parameters.”
- Computational protein structure refinement: Almost there, yet still so far to go (2017, methodology): “111 Back-bone torsion potentials, a key ingredient to correctly reproduce secondary structure propensities, have been fi ne-tuned to balance ab initio data with experimental data on small peptides and torsional distributions in structures from the Protein Data Bank (PDB) 97,107,109 Other…”
- Potential energy functions for protein design. (2007, methodology): “Previous reviews have described potential energy functions (PEFs) used for molecular mechanics simulations [1,2], protein design [3,4] and protein structure prediction [5].”