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• W2891489380 abstract "Over the past two decades, one of the standard models of protein folding has been the “two-state” model, in which a protein only resides in the folded or fully unfolded states with a single pathway between them. Recent advances in spatial and temporal resolution of biophysical measurements have revealed “beyond-two-state” complexity in protein folding, even for small, single-domain proteins. In this work, we used high-resolution optical tweezers to investigate the folding/unfolding kinetics of the B1 domain of immunoglobulin-binding protein G (GB1), a well-studied model system. Experiments were performed for GB1 both in and out of equilibrium using force spectroscopy. When the force was gradually ramped, simple single-peak folding force distributions were observed, while multiple rupture peaks were seen in the unfolding force distributions, consistent with multiple force-dependent parallel unfolding pathways. Force-dependent folding and unfolding rate constants were directly determined by both force-jump and fixed-trap measurements. Monte Carlo modeling using these rate constants was in good agreement with the force ramp data. The unfolding rate constants exhibited two different behaviors at low vs high force. At high force, the unfolding rate constant increased with increasing force, as previously reported by high force, high pulling speed force ramp measurements. However, at low force, the situation reversed and the unfolding rate constant decreased with increasing force. Taken together, these data indicate that this small protein has multiple distinct pathways to the native state on the free energy landscape." @default.
• W2891489380 created "2018-09-27" @default.
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• W2891489380 date "2018-09-14" @default.
• W2891489380 modified "2023-10-08" @default.
• W2891489380 title "Combined Force Ramp and Equilibrium High-Resolution Investigations Reveal Multipath Heterogeneous Unfolding of Protein G" @default.
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• W2891489380 doi "https://doi.org/10.1021/acs.jpcb.8b06199" @default.
• W2891489380 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30215523" @default.
• W2891489380 hasPublicationYear "2018" @default.
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