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Proteins with similar architecture exhibit similar large-scale dynamic behavior
O Keskin1, R L Jernigan, I Bahar
1Chemical Engineering Department and Polymer Research Center, Bogazici University, and TUBITAK Advanced Polymeric Materials Research Center, Bebek 80815, Istanbul, Turkey.
Biophysical Journal
|March 29, 2000
Summary
Protein fold families share conserved global dynamic behavior, with functional differences localized to specific regions. This study demonstrates how protein scaffolds can serve diverse functions, suggesting dynamic fluctuation analysis for structure alignment.
Area of Science:
- Computational biology
- Structural bioinformatics
- Protein dynamics
Background:
- Six proteins (CysB, LAO, PBGD, RBP, apo-OVOT, LIVBP) share Rossmann fold domains but exhibit functional diversity.
- Understanding protein dynamics is crucial for elucidating structure-function relationships.
Purpose of the Study:
- To investigate similarities and differences in computed dynamic fluctuations among related protein folds.
- To explore the relationship between protein scaffold, dynamic behavior, and functional specialization.
- To assess the potential of dynamic fluctuation analysis for protein structure alignment.
Main Methods:
- Employed a coarse-grained Gaussian network model to compute dynamic fluctuations.
- Analyzed six proteins belonging to a common fold family: CysB, lysine/arginine/ornithine-binding protein (LAO), porphobilinogen deaminase (PBGD), ribose-binding protein (RBP), N-terminal lobe of ovotransferrin (apo-OVOT), and leucine/isoleucine/valine-binding protein (LIVBP).
Main Results:
- Global dynamic behavior is largely conserved across the protein fold family.
- Functional differences correlate with localized dynamic variations in specific regions.
- Ligand binding influences the dynamic behavior of LAO, aligning it with substrate-bound CysB, PBGD, and RBP.
- Ligand-free LIVBP and apo-OVOT exhibit dynamics similar to unliganded LAO.
Conclusions:
- Protein fold scaffolds can support diverse functional roles through localized dynamic adaptations.
- Dynamic fluctuation patterns offer a basis for constructing protein structure alignments.
- Computational modeling provides insights into the interplay of structure, dynamics, and function in protein families.