Predicting the kinetics of RNA oligonucleotides using Markov state models

Autor: Jianbo Zhao, Frank Noé, Fabian Paul, Douglas H. Turner, Giovanni Bussi, Giovanni Pinamonti, David E. Condon
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Oligonucleotides
temperature-jump
01 natural sciences
Force field (chemistry)
nmr
Molecular dynamics
molecular-dynamics simulations
Computational chemistry
time
nuclear-magnetic-resonance
amber force-fields
dinucleoside monophosphates
conformational properties
stacking
water
Quantitative Biology::Biomolecules
010304 chemical physics
Chemistry
Temperature
Computational Physics (physics.comp-ph)
Markov Chains
Computer Science Applications
Biological Physics (physics.bio-ph)
Biological system
Physics - Computational Physics
Kinetics
Stacking
FOS: Physical sciences
Molecular Dynamics Simulation
Article
Settore FIS/03 - Fisica della Materia
03 medical and health sciences
Physics - Chemical Physics
0103 physical sciences
Molecule
Physics - Biological Physics
Physical and Theoretical Chemistry
Condensed Matter - Statistical Mechanics
Chemical Physics (physics.chem-ph)
Statistical Mechanics (cond-mat.stat-mech)
Markov chain
Oligonucleotide
RNA
Biomolecules (q-bio.BM)
030104 developmental biology
Quantitative Biology - Biomolecules
FOS: Biological sciences
Nucleic Acid Conformation
Popis: Nowadays different experimental techniques, such as single molecule or relaxation experiments, can provide dynamic properties of biomolecular systems, but the amount of detail obtainable with these methods is often limited in terms of time or spatial resolution. Here we use state-of-the-art computational techniques, namely atomistic molecular dynamics and Markov state models, to provide insight into the rapid dynamics of short RNA oligonucleotides, in order to elucidate the kinetics of stacking interactions. Analysis of multiple microsecond-long simulations indicates that the main relaxation modes of such molecules can consist of transitions between alternative folded states, rather than between random coils and native structures. After properly removing structures that are artificially stabilized by known inaccuracies of the current RNA AMBER force field, the kinetic properties predicted are consistent with the timescales of previously reported relaxation experiments.
Accepted for publication on J. Chem. Theory Comput
Databáze: OpenAIRE