ArticleArchives of biochemistry and biophysics2011
Normal mode analysis with molecular geometry restraints: bridging molecular mechanics and elastic models.
Article in Archives of biochemistry and biophysics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Exploration of Cryptic Pockets Using Enhanced Sampling Along Normal Modes: A Case Study of KRASJournal of chemical information and modeling · 2024Article
- Elastic network models capture the motions apparent within ensembles of RNA structures.RNA (New York, N.Y.) · 2014Article
- PIM: phase integrated method for normal mode analysis of biomolecules in a crystalline environment.Journal of molecular biology · 2013Article
- Coarse grained normal mode analysis vs. refined Gaussian Network Model for protein residue-level structural fluctuations.Bulletin of mathematical biology · 2013Article
- fSUB: normal mode analysis with flexible substructures.The journal of physical chemistry. B · 2012Article
- Vinculin motion modes analysis with elastic network model.International journal of molecular sciences · 2012Article
- Free energies for coarse-grained proteins by integrating multibody statistical contact potentials with entropies from elastic network models.Journal of structural and functional genomics · 2011Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
A new method for normal mode analysis is reported for all-atom structures using molecular geometry restraints (MGR). Similar to common molecular mechanics force fields, the MGR potential contains short- and long-range terms. The short-range terms are defined by molecular geometry, i.e., bond lengths, angles and dihedrals; the long-range term is similar to that in elastic network models. Each interaction term uses a single force constant parameter, and is determined by fitting against a set of known structures. Tests on proteins/non-proteins show that MGR can produce low frequency eigenvectors closer to all-atom force-field-based methods than conventional elastic network models. Moreover, the "tip effect", found in low frequency eigenvectors in elastic network models, is reduced in MGR to the same level of the modes produced by force-field-based methods. The results suggest that molecular geometry plays an important role, in addition to molecular shape, in determining low frequency deformational motions. MGR does not require initial energy minimization, and is applicable to almost any structure, including the one with missing atoms, bad contacts, or bad geometries, frequently observed in low-resolution structure determination and refinement. The method bridges the two major representations in normal mode analyses, i.e., the molecular mechanics models and elastic network models.
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