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James Gumbart

Publications and source records attributed to James Gumbart.

3 recordsLinked to original sources

Molecular dynamics studies of the archaeal translocon.

The translocon is a protein-conducting channel conserved over all domains of life that serves to translocate proteins across or into membranes. Although this channel has been well studied for many years, the recent discovery of a high-resolution crystal structure opens up new avenues of exploration. Taking advantage of this, we performed molecular dynamics simulations of the translocon in a fully solvated lipid bilayer, examining the translocation abilities of monomeric SecYEbeta by forcing two helices comprised of different amino acid sequences to cross the channel. The simulations revealed that the so-called plug of SecYEbeta swings open during translocation, closing thereafter. Likewise, it was established that the so-called pore ring region of SecYEbeta forms an elastic, yet tight, seal around the translocating oligopeptides. The closed state of the channel was found to block permeation of all ions and water molecules; in the open state, ions were blocked. Our results suggest that the SecYEbeta monomer is capable of forming an active channel.

Alanine↗

Scalable molecular dynamics with NAMD.

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on low-cost commodity clusters, and also runs on individual desktop and laptop computers. NAMD works with AMBER and CHARMM potential functions, parameters, and file formats. This article, directed to novices as well as experts, first introduces concepts and methods used in the NAMD program, describing the classical molecular dynamics force field, equations of motion, and integration methods along with the efficient electrostatics evaluation algorithms employed and temperature and pressure controls used. Features for steering the simulation across barriers and for calculating both alchemical and conformational free energy differences are presented. The motivations for and a roadmap to the internal design of NAMD, implemented in C++ and based on Charm++ parallel objects, are outlined. The factors affecting the serial and parallel performance of a simulation are discussed. Finally, typical NAMD use is illustrated with representative applications to a small, a medium, and a large biomolecular system, highlighting particular features of NAMD, for example, the Tcl scripting language. The article also provides a list of the key features of NAMD and discusses the benefits of combining NAMD with the molecular graphics/sequence analysis software VMD and the grid computing/collaboratory software BioCoRE. NAMD is distributed free of charge with source code at www.ks.uiuc.edu.

Algorithms↗

Molecular dynamics simulations of proteins in lipid bilayers.

With recent advances in X-ray crystallography of membrane proteins promising many new high-resolution structures, molecular dynamics simulations will become increasingly valuable for understanding membrane protein function, as they can reveal the dynamic behavior concealed in the static structures. Dramatic increases in computational power, in synergy with more efficient computational methodologies, now allow us to carry out molecular dynamics simulations of any structurally known membrane protein in its native environment, covering timescales of up to 0.1 micros. At the frontiers of membrane protein simulations are ion channels, aquaporins, passive and active transporters, and bioenergetic proteins.

Computer Simulation↗