ArticlePLoS computational biology2009
Probing the flexibility of large conformational changes in protein structures through local perturbations.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Review
- Characterizing biomolecular structure features through an innovative elliptical dichroism spectrometry for cancer detection.Heliyon · 2024Article
- Structure and dynamics of pteridine reductase 1: the key phenomena relevant to enzyme function and drug design.European biophysics journal : EBJ · 2023Review
- Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis.The journal of physical chemistry. B · 2023Article
- Unsupervised recognition of components from the interaction of BSA with Fe cluster in different conditions utilizing 2D fluorescence spectroscopy.Scientific reports · 2022Article
- Article
- Structural compliance: A new metric for protein flexibility.Proteins · 2020Article
- Spectral analysis of molecular dynamics simulations on PDZ: MD sectors.Journal of biomolecular structure & dynamics · 2020Article
- Structural Dynamics of Agonist and Antagonist Binding to the Androgen Receptor.The journal of physical chemistry. B · 2019Article
- How Hsp90 and Cdc37 Lubricate Kinase Molecular Switches.Trends in biochemical sciences · 2017Review
- Variability of the Cyclin-Dependent Kinase 2 Flexibility Without Significant Change in the Initial Conformation of the Protein or Its Environment; a Computational Study.Iranian journal of biotechnology · 2016Article
- Correlated rigid modes in protein families.Physical biology · 2016Article
- Real-time monitoring of protein conformational changes using a nano-mechanical sensor.PloS one · 2014Article
- Insights into the regulation of the human COP9 signalosome catalytic subunit, CSN5/Jab1.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- The underappreciated role of allostery in the cellular network.Annual review of biophysics · 2013Review
- Frequency response of a protein to local conformational perturbations.PLoS computational biology · 2013Article
- Equilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- Computational modeling of allosteric communication reveals organizing principles of mutation-induced signaling in ABL and EGFR kinases.PLoS computational biology · 2011Article
- Change in allosteric network affects binding affinities of PDZ domains: analysis through perturbation response scanning.PLoS computational biology · 2011Review
- Thermal motions of the E. coli glucose-galactose binding protein studied using well-sampled, semi-atomistic simulations.Current topics in medicinal chemistry · 2011Article
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Authors and funding
2 authors.
Funding
Abstract
Protein conformational changes and dynamic behavior are fundamental for such processes as catalysis, regulation, and substrate recognition. Although protein dynamics have been successfully explored in computer simulation, there is an intermediate-scale of motions that has proven difficult to simulate - the motion of individual segments or domains that move independently of the body the protein. Here, we introduce a molecular-dynamics perturbation method, the Rotamerically Induced Perturbation (RIP), which can generate large, coherent motions of structural elements in picoseconds by applying large torsional perturbations to individual sidechains. Despite the large-scale motions, secondary structure elements remain intact without the need for applying backbone positional restraints. Owing to its computational efficiency, RIP can be applied to every residue in a protein, producing a global map of deformability. This map is remarkably sparse, with the dominant sites of deformation generally found on the protein surface. The global map can be used to identify loops and helices that are less tightly bound to the protein and thus are likely sites of dynamic modulation that may have important functional consequences. Additionally, they identify individual residues that have the potential to drive large-scale coherent conformational change. Applying RIP to two well-studied proteins, Dihdydrofolate Reductase and Triosephosphate Isomerase, which possess functionally-relevant mobile loops that fluctuate on the microsecond/millisecond timescale, the RIP deformation map identifies and recapitulates the flexibility of these elements. In contrast, the RIP deformation map of alpha-lytic protease, a kinetically stable protein, results in a map with no significant deformations. In the N-terminal domain of HSP90, the RIP deformation map clearly identifies the ligand-binding lid as a highly flexible region capable of large conformational changes. In the Estrogen Receptor ligand-binding domain, the RIP deformation map is quite sparse except for one large conformational change involving Helix-12, which is the structural element that allosterically links ligand binding to receptor activation. RIP analysis has the potential to discover sites of functional conformational changes and the linchpin residues critical in determining these conformational states.
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