The energy landscape as a unifying theme in molecular science.
about
Using Markov state models to study self-assemblyEnergy landscape and global optimization for a frustrated model protein.Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory.Pathways for virus assembly around nucleic acids.Exploring the paths of (virus) assemblyMechanical disassembly of single virus particles reveals kinetic intermediates predicted by theory.Enhancing the affinity of SEB-binding peptides by repeating their sequence.Persistent topology and metastable state in conformational dynamics.Simulations show that virus assembly and budding are facilitated by membrane microdomains.Modeling Viral Capsid Assembly.Simulated self-assembly of the HIV-1 capsid: protein shape and native contacts are sufficient for two-dimensional lattice formation.Vibrational spectra and structures of bare and Xe-tagged cationic Si(n)O(m)⁺ clusters.Langevin dynamics simulation of polymer-assisted virus-like assembly.The Role of Packaging Sites in Efficient and Specific Virus AssemblyConformational equilibria and rates of localized motion within hepatitis B virus capsidsViral genome structures are optimal for capsid assemblyMany-molecule encapsulation by an icosahedral shell.Rigidity percolation and the spatial heterogeneity of soft modes in disordered materialsDesigning a Bernal spiral from patchy colloids.Exploring energy landscapes: from molecular to mesoscopic systems.Biomolecular engineering of virus-like particles aided by computational chemistry methods.Machine learning landscapes and predictions for patient outcomes.Exploring experimental fitness landscapes for chemical synthesis and property optimization.Distinguishing reversible from irreversible virus capsid assembly.Hidden symmetry of small spherical viruses and organization principles in "anomalous" and double-shelled capsid nanoassemblies.Classical nucleation theory of virus capsids.A minimal representation of the self-assembly of virus capsids.Phage P22 procapsids equilibrate with free coat protein subunits.A parameter estimation technique for stochastic self-assembly systems and its application to human papillomavirus self-assembly.Symmetrisation schemes for global optimisation of atomic clusters.Mechanical properties of viral capsids.Potential energy landscapes for the 2D XY model: minima, transition states, and pathways.Roles of dynamical symmetry breaking in driving oblate-prolate transitions of atomic clusters.Energy landscapes for machine learning.Localized soft modes and the supercooled liquid's irreversible passage through its configuration space.Energy landscape of a spin-glass model: exploration and characterization.Coarse-graining the structure of polycyclic aromatic hydrocarbons clusters.Nanothermodynamics of iron clusters: Small clusters, icosahedral and fcc-cuboctahedral structures.Defining and quantifying frustration in the energy landscape: Applications to atomic and molecular clusters, biomolecules, jammed and glassy systems.Multifunctional energy landscape for a DNA G-quadruplex: An evolved molecular switch.
P2860
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P2860
The energy landscape as a unifying theme in molecular science.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
The energy landscape as a unifying theme in molecular science.
@ast
The energy landscape as a unifying theme in molecular science.
@en
type
label
The energy landscape as a unifying theme in molecular science.
@ast
The energy landscape as a unifying theme in molecular science.
@en
prefLabel
The energy landscape as a unifying theme in molecular science.
@ast
The energy landscape as a unifying theme in molecular science.
@en
P356
P1476
The energy landscape as a unifying theme in molecular science.
@en
P2093
David J Wales
P304
357-75; discussion 375-7
P356
10.1098/RSTA.2004.1497
P407
P577
2005-02-01T00:00:00Z