A combination of large-scale distributed computing efforts and Markov State Model (MSM) approaches have recently been used to simulate the folding of proteins on the millisecond timescale. These models predict new views of the folding reaction--a complex set of metastable intermediates, multiple pathways, a hub-like network structure, and compact unfolded states with residual structuring--yet, experimental observables often report simple two-state kinetics. To study the events that precede folding, we used MSM approaches to model the folding reaction of ACBP (acyl-CoA binding protein), an 86-residue helix-bundle protein that folds on the ∼10 ms timescale, with an ∼80 µs collapse phase that can be probed both by simulation and experiment. Ou...
Abstract: We describe the master equation method for computing the kinetics of protein folding. We i...
In the recently proposed distributed computing approach to protein folding a very large number of sh...
Molecular dynamics (MD) simulations can now predict ms-timescale folding processes of small proteins...
Protein folding is a fundamental process in biology, key to understanding many human diseases. Exper...
Protein folding has been a challenging puzzle for decades but it is still not fully understood. One ...
A rigorous formalism for the extraction of state-to-state transition functions from a Boltzmann-weig...
10 pages, 7 figures.-- PMID: 16834320 [PubMed].-- PMCID: PMC2546509.-- Author manuscript available i...
AbstractThe B1 domain of protein G has been a classic model system of folding for decades, the subje...
For many decades, protein folding experimentalists have worked with no information about the timesca...
AbstractUnderstanding how proteins fold is one of the central problems in biochemistry. A new genera...
The fastest simple, kinetically two-state protein folds a million times more rapidly than the slowes...
For the past two decades, protein folding experiments have been speeding up from the second or milli...
Optical spectroscopic tools are used to monitor protein folding/unfolding dynamics after a fast trig...
Experimental techniques have now reached the sub-microsecond timescale necessary to study fast event...
Proteins do not fold by randomly searching a large number of nearly degenerate configurations; inst...
Abstract: We describe the master equation method for computing the kinetics of protein folding. We i...
In the recently proposed distributed computing approach to protein folding a very large number of sh...
Molecular dynamics (MD) simulations can now predict ms-timescale folding processes of small proteins...
Protein folding is a fundamental process in biology, key to understanding many human diseases. Exper...
Protein folding has been a challenging puzzle for decades but it is still not fully understood. One ...
A rigorous formalism for the extraction of state-to-state transition functions from a Boltzmann-weig...
10 pages, 7 figures.-- PMID: 16834320 [PubMed].-- PMCID: PMC2546509.-- Author manuscript available i...
AbstractThe B1 domain of protein G has been a classic model system of folding for decades, the subje...
For many decades, protein folding experimentalists have worked with no information about the timesca...
AbstractUnderstanding how proteins fold is one of the central problems in biochemistry. A new genera...
The fastest simple, kinetically two-state protein folds a million times more rapidly than the slowes...
For the past two decades, protein folding experiments have been speeding up from the second or milli...
Optical spectroscopic tools are used to monitor protein folding/unfolding dynamics after a fast trig...
Experimental techniques have now reached the sub-microsecond timescale necessary to study fast event...
Proteins do not fold by randomly searching a large number of nearly degenerate configurations; inst...
Abstract: We describe the master equation method for computing the kinetics of protein folding. We i...
In the recently proposed distributed computing approach to protein folding a very large number of sh...
Molecular dynamics (MD) simulations can now predict ms-timescale folding processes of small proteins...