TY - JOUR
T1 - Chaos in protein dynamics
AU - Braxenthaler, Michael
AU - Unger, Ron
AU - Auerbach, Ditza
AU - Given, James A.
AU - Moult, John
PY - 1997/12
Y1 - 1997/12
N2 - MD simulations, currently the most detailed description of the dynamic evolution of proteins, are based on the repeated solution of a set of differential equations implementing Newton's second law. Many such systems are known to exhibit chaotic behavior, i.e., very small changes in initial conditions are amplified exponentially and lead to vastly different, inherently unpredictable behavior. We have investigated the response of a protein fragment in an explicit solvent environment to very small perturbations of the atomic positions (10-3-10-9 Å). Independent of the starting conformation (native-like, compact, extended), perturbed dynamics trajectories deviated rapidly, leading to conformations that differ by approximately 1 Å RMSD within 1-2 ps. Furthermore, introducing the perturbation more than 1-2 ps before a significant conformational transition leads to a loss of the transition in the perturbed trajectories. We present evidence that the observed chaotic behavior reflects physical properties of the system rather than numerical instabilities of the calculation and discuss the implications for models of protein folding and the use of MD as a tool to analyze protein folding pathways.
AB - MD simulations, currently the most detailed description of the dynamic evolution of proteins, are based on the repeated solution of a set of differential equations implementing Newton's second law. Many such systems are known to exhibit chaotic behavior, i.e., very small changes in initial conditions are amplified exponentially and lead to vastly different, inherently unpredictable behavior. We have investigated the response of a protein fragment in an explicit solvent environment to very small perturbations of the atomic positions (10-3-10-9 Å). Independent of the starting conformation (native-like, compact, extended), perturbed dynamics trajectories deviated rapidly, leading to conformations that differ by approximately 1 Å RMSD within 1-2 ps. Furthermore, introducing the perturbation more than 1-2 ps before a significant conformational transition leads to a loss of the transition in the perturbed trajectories. We present evidence that the observed chaotic behavior reflects physical properties of the system rather than numerical instabilities of the calculation and discuss the implications for models of protein folding and the use of MD as a tool to analyze protein folding pathways.
KW - Chaotic motion in complex systems
KW - Lyapunov exponent
KW - Molecular dynamics
KW - Nonlinear dynamics
KW - Protein folding pathways
UR - http://www.scopus.com/inward/record.url?scp=0030670359&partnerID=8YFLogxK
U2 - 10.1002/(SICI)1097-0134(199712)29:4<417::AID-PROT2>3.0.CO;2-5
DO - 10.1002/(SICI)1097-0134(199712)29:4<417::AID-PROT2>3.0.CO;2-5
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 9408939
AN - SCOPUS:0030670359
SN - 0887-3585
VL - 29
SP - 417
EP - 425
JO - Proteins: Structure, Function and Genetics
JF - Proteins: Structure, Function and Genetics
IS - 4
ER -