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Open AccessJournal ArticleDOI

Escaping free-energy minima

Alessandro Laio, +1 more
- 01 Oct 2002 - 
- Vol. 99, Iss: 20, pp 12562-12566
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TLDR
A powerful method for exploring the properties of the multidimensional free energy surfaces of complex many-body systems by means of coarse-grained non-Markovian dynamics in the space defined by a few collective coordinates is introduced.
Abstract
We introduce a powerful method for exploring the properties of the multidimensional free energy surfaces (FESs) of complex many-body systems by means of coarse-grained non-Markovian dynamics in the space defined by a few collective coordinates. A characteristic feature of these dynamics is the presence of a history-dependent potential term that, in time, fills the minima in the FES, allowing the efficient exploration and accurate determination of the FES as a function of the collective coordinates. We demonstrate the usefulness of this approach in the case of the dissociation of a NaCl molecule in water and in the study of the conformational changes of a dialanine in solution.

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Citations
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Molecular Docking: Shifting Paradigms in Drug Discovery.

TL;DR: This review describes how molecular docking was firstly applied to assist in drug discovery tasks, and illustrates newer and emergent uses and applications of docking, including prediction of adverse effects, polypharmacology, drug repurposing, and target fishing and profiling.
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String method in collective variables: Minimum free energy paths and isocommittor surfaces

TL;DR: A computational technique is proposed which combines the string method with a sampling technique to determine minimum free energy paths and captures the mechanism of transition in that it allows to determine the committor function for the reaction and, in particular, the transition state region.
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Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations

TL;DR: In this Perspective, the current status of NN potentials is reviewed, and their advantages and limitations are discussed.
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Combining docking and molecular dynamic simulations in drug design.

TL;DR: This review focuses on applications and protocols of recent studies where docking calculations and molecular dynamics simulations were combined to dock small molecules into protein receptors, and is structured to lead the reader from the simpler to more compute‐intensive methods.
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Constructing high-dimensional neural network potentials: A tutorial review

TL;DR: In this paper, the basic ideas of neural network potentials are presented with a special focus on developing NNPs for high-dimensional condensed systems, and a recipe for the construction of these potentials is given and remaining limitations of the method are discussed.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Journal ArticleDOI

Efficient, multiple-range random walk algorithm to calculate the density of states.

TL;DR: A new Monte Carlo algorithm is presented that permits us to directly access the free energy and entropy, is independent of temperature, and is efficient for the study of both 1st order and 2nd order phase transitions.
Journal ArticleDOI

Hyperdynamics: Accelerated Molecular Dynamics of Infrequent Events

TL;DR: In this article, a general method for accelerating the molecular-dynamics (MD) simulation of infrequent events in solids is derived, and the diffusion mechanism of a 10-atom Ag cluster on the Ag(111) surface using a $220\ensuremath{\mu}\mathrm{s}$ hyper-MD simulation.
Journal ArticleDOI

Constrained reaction coordinate dynamics for the simulation of rare events

TL;DR: In this article, a computationally efficient molecular dynamics method for estimating the rates of rare events that occur by activated processes is described, where the system is constrained at bottleneck regions on a general many-body reaction coordinate in order to generate a biased configurational distribution.
Journal ArticleDOI

Free energy from constrained molecular dynamics

TL;DR: In this article, the blue-moon ensemble method was used to compute the potential of mean force and transmission coefficient of a given reaction coordinate in the case of an arbitrary reaction coordinate.
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