AbstractThe ability to predict the effects of mutations on protein folding rates and mechanisms would greatly facilitate folding studies. Using a realistic full atom potential coupled with a Gō-like potential biased to the native state structure, we have investigated the effects of point mutations on the folding rates of a small single domain protein. The hybrid potential provides a detailed level of description of the folding mechanism that we correlate to features of the folding energy landscapes of fast and slow mutants of an 80-residue-long fragment of the λ-repressor. Our computational reconstruction of the folding events is compared to the recent experimental results of W. Y. Yang and M. Gruebele (see companion article) and T. G. Oas ...
AbstractUnderstanding how proteins fold is one of the central problems in biochemistry. A new genera...
AbstractWe show that the five-helix bundle λ6–85 can be engineered and solvent-tuned to make the tra...
We explore the correlation between the energy landscape and topology in the folding of a model prote...
AbstractThe ability to predict the effects of mutations on protein folding rates and mechanisms woul...
One strategy for reaching the downhill folding regime, primarily exploited for the λ<sub>6–85</sub> ...
The five-helix bundle λ-repressor fragment is a fast-folding protein. A length of 80 amino acid resi...
The five-helix bundle λ-repressor fragment is a fast-folding protein. A length of 80 amino acid resi...
ABSTRACT: One strategy for reaching the downhill folding regime, primarily exploited for the λ6−85 p...
Computer simulation is a powerful approach to study protein dynamics and functions. We employed mole...
Molecular dynamics simulations of folding in an off-lattice protein model reveal a nucleation scenar...
Computer generated trajectories can, in principle, reveal the folding pathways of a protein at atomi...
Computer generated trajectories can, in principle, reveal the folding pathways of a protein at atomi...
Computer generated trajectories can, in principle, reveal the folding pathways of a protein at atomi...
Background: Energy landscape theory predicts that the folding funnel for a small fast-folding α-heli...
AbstractLong timescale (>1 μs) molecular dynamics simulations of protein folding offer a powerful to...
AbstractUnderstanding how proteins fold is one of the central problems in biochemistry. A new genera...
AbstractWe show that the five-helix bundle λ6–85 can be engineered and solvent-tuned to make the tra...
We explore the correlation between the energy landscape and topology in the folding of a model prote...
AbstractThe ability to predict the effects of mutations on protein folding rates and mechanisms woul...
One strategy for reaching the downhill folding regime, primarily exploited for the λ<sub>6–85</sub> ...
The five-helix bundle λ-repressor fragment is a fast-folding protein. A length of 80 amino acid resi...
The five-helix bundle λ-repressor fragment is a fast-folding protein. A length of 80 amino acid resi...
ABSTRACT: One strategy for reaching the downhill folding regime, primarily exploited for the λ6−85 p...
Computer simulation is a powerful approach to study protein dynamics and functions. We employed mole...
Molecular dynamics simulations of folding in an off-lattice protein model reveal a nucleation scenar...
Computer generated trajectories can, in principle, reveal the folding pathways of a protein at atomi...
Computer generated trajectories can, in principle, reveal the folding pathways of a protein at atomi...
Computer generated trajectories can, in principle, reveal the folding pathways of a protein at atomi...
Background: Energy landscape theory predicts that the folding funnel for a small fast-folding α-heli...
AbstractLong timescale (>1 μs) molecular dynamics simulations of protein folding offer a powerful to...
AbstractUnderstanding how proteins fold is one of the central problems in biochemistry. A new genera...
AbstractWe show that the five-helix bundle λ6–85 can be engineered and solvent-tuned to make the tra...
We explore the correlation between the energy landscape and topology in the folding of a model prote...