Analysis methods for comparison of multiple molecular dynamics trajectories: Applications to protein unfolding pathways and denatured ensembles

Citation
Sl. Kazmirski et al., Analysis methods for comparison of multiple molecular dynamics trajectories: Applications to protein unfolding pathways and denatured ensembles, J MOL BIOL, 290(1), 1999, pp. 283-304
Citations number
52
Categorie Soggetti
Molecular Biology & Genetics
Journal title
JOURNAL OF MOLECULAR BIOLOGY
ISSN journal
00222836 → ACNP
Volume
290
Issue
1
Year of publication
1999
Pages
283 - 304
Database
ISI
SICI code
0022-2836(19990702)290:1<283:AMFCOM>2.0.ZU;2-C
Abstract
In molecular dynamics simulations of protein unfolding, the pathway of one protein molecule is studied at a time. In contrast, experimental denaturati on studies sample from large ensembles of molecules passing from the native to unfolded state. If reasonable comparisons with experiment are to be mad e, then the generality of the simulations needs to be con firmed by perform ing multiple unfolding simulations. Given that protein unfolding trajectori es are very complicated functions of the proteins and the environment, comp aring different trajectories, even under the same conditions, is not straig htforward. Several methods are presented here that attempt to accomplish th is task at different levels of complexity. The simpler methods are geometry based and make use: of the root-mean-squared deviations between structures , while the more complicated methods are based on the time variation of the various properties of the system during the unfolding process. These metho ds are applied to multiple simulations of three different proteins, bovine pancreatic trypsin inhibitor, chymotrypsin inhibitor 2, and barnase. In gen eral, for these three proteins protein unfolding proceeded via expansion of the core and fraying of secondary structure to yield the major transition state. Once past the transition state, the trajectories for a given protein diverged as the protein lost further secondary and tertiary structure by a variety of mechanisms. Although the unfolding pathways diverged, similar c onformations were populated in the denatured state even when the unfolding occurred via different pathways. The multitude of different pathways leadin g to the denatured state agrees with the funnel description of protein fold ing. Although the pathways differed in conformational space, the physical p roperties of the conformations were often similar, highlighting the danger of assuming that similar observed properties imply similar conformations. I n fact, there may be many different "conformational pathways" of unfolding that fit within a preferred "property space pathway". (C) 1999 Academic Pre ss.