title: Tackling sampling challenges in biomolecular simulations.
abstract: Molecular dynamics (MD) simulations are a powerful tool to give an atomistic insight into the structure and dynamics of proteins. However, the time scales accessible in standard simulations, which often do not match those in which interesting biological processes occur, limit their predictive capabilities. Many advanced sampling techniques have been proposed over the years to overcome this limitation. This chapter focuses on metadynamics, a method based on the introduction of a time-dependent bias potential to accelerate sampling and recover equilibrium properties of a few descriptors that are able to capture the complexity of a process at a coarse-grained level. The theory of metadynamics and its combination with other popular sampling techniques such as the replica exchange method is briefly presented. Practical applications of these techniques to the study of the Trp-Cage miniprotein folding are also illustrated. The examples contain a guide for performing these calculations with PLUMED, a plugin to perform enhanced sampling simulations in combination with many popular MD codes.
authors.affiliation: Laboratory of Statistical Biophysics, School of Basic Sciences, Ecole Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Barducci
authors.forename: Jim
authors.initials: J
authors.lastname: Pfaendtner
authors.forename: Massimiliano
authors.initials: M
authors.lastname: Bonomi
mesh_terms: D000465:Algorithms; D030562:Databases, Protein; D056004:Molecular Dynamics Simulation; D011506:Proteins / Q000737:chemistry*; D013696:Temperature; D014364:Tryptophan / Q000737:chemistry
chemical_list: D011506:Proteins; D014364:Tryptophan