2019
DOI: 10.1016/bs.aiq.2018.05.002
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Parallel Cascade Selection Molecular Dynamics Simulations for Transition Pathway Sampling of Biomolecules

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Cited by 2 publications
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“…Here, we used the inter-center of mass distance (inter-COM distance, d ) between p53-DBD and DNA as a quantity for ranking the snapshots generated in each cycle. By repeating a series of cycles for the selected top-ranked snapshots, dissociation PaCS-MD (dPaCS-MD) generates structures with larger inter-COM distances than those found in the previous cycle, which significantly enhances the probability of transitions from the bound to unbound states. ,, Short MD trajectories, a series of molecular configurations, connect the initial bound and final unbound states along the dissociation pathways, and the MD trajectories from many trials of dPaCS-MD can be combined to generate different dissociation pathways, which mutually overlap in conformational space. Using these trajectories, we can construct an MSM which describes the dynamics of a biochemical process as a sequence of transitions between metastable conformational states (microstates). Our group recently established the dPaCS-MD/MSM combination to simulate protein–ligand and protein–protein fragment , dissociation and to accurately calculate ΔG° in good agreement with experimental values.…”
Section: Introductionmentioning
confidence: 99%
“…Here, we used the inter-center of mass distance (inter-COM distance, d ) between p53-DBD and DNA as a quantity for ranking the snapshots generated in each cycle. By repeating a series of cycles for the selected top-ranked snapshots, dissociation PaCS-MD (dPaCS-MD) generates structures with larger inter-COM distances than those found in the previous cycle, which significantly enhances the probability of transitions from the bound to unbound states. ,, Short MD trajectories, a series of molecular configurations, connect the initial bound and final unbound states along the dissociation pathways, and the MD trajectories from many trials of dPaCS-MD can be combined to generate different dissociation pathways, which mutually overlap in conformational space. Using these trajectories, we can construct an MSM which describes the dynamics of a biochemical process as a sequence of transitions between metastable conformational states (microstates). Our group recently established the dPaCS-MD/MSM combination to simulate protein–ligand and protein–protein fragment , dissociation and to accurately calculate ΔG° in good agreement with experimental values.…”
Section: Introductionmentioning
confidence: 99%
“…Here, we used the inter-center of mass distance between p53-DBD and DNA (Inter-COM distance, d) as a quantity for ranking the snapshots generated in each cycle. By repeating a series of cycles for the selected top ranked snapshots, dissociation PaCS-MD (dPaCS-MD) generates structures with larger Inter-COM distances than those found in the previous cycle, which significantly enhances the probability of transitions from the bound to unbound states 39,48,49 . Short MD trajectories, a series of molecular configurations, connect the initial bound and final unbound states along the dissociation pathways, and the MD trajectories from many trials of dPaCS-MD can be combined to generate different dissociation pathways, which mutually overlap in conformational space.…”
Section: Introductionmentioning
confidence: 99%