Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations.
In the current report, we provide a quantitative analysis of the convergence of the sampling of conformational space accomplished in molecular dynamics simulations of membrane proteins of duration in the order of 10 nanoseconds. A set of proteins of diverse size and topology is considered, ranging f...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
2004
|
| _version_ | 1826266824847654912 |
|---|---|
| author | Faraldo-Gómez, J Forrest, L Baaden, M Bond, P Domene, C Patargias, G Cuthbertson, J Sansom, MS |
| author_facet | Faraldo-Gómez, J Forrest, L Baaden, M Bond, P Domene, C Patargias, G Cuthbertson, J Sansom, MS |
| author_sort | Faraldo-Gómez, J |
| collection | OXFORD |
| description | In the current report, we provide a quantitative analysis of the convergence of the sampling of conformational space accomplished in molecular dynamics simulations of membrane proteins of duration in the order of 10 nanoseconds. A set of proteins of diverse size and topology is considered, ranging from helical pores such as gramicidin and small beta-barrels such as OmpT, to larger and more complex structures such as rhodopsin and FepA. Principal component analysis of the C(alpha)-atom trajectories was employed to assess the convergence of the conformational sampling in both the transmembrane domains and the whole proteins, while the time-dependence of the average structure was analyzed to obtain single-domain information. The membrane-embedded regions, particularly those of small or structurally simple proteins, were found to achieve reasonable convergence. By contrast, extra-membranous domains lacking secondary structure are often markedly under-sampled, exhibiting a continuous structural drift. This drift results in a significant imprecision in the calculated B-factors, which detracts from any quantitative comparison to experimental data. In view of such limitations, we suggest that similar analyses may be valuable in simulation studies of membrane protein dynamics, in order to attach a level of confidence to any biologically relevant observations. |
| first_indexed | 2024-03-06T20:44:49Z |
| format | Journal article |
| id | oxford-uuid:35860ca1-f57d-4bd5-9b06-a8e402963818 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:44:49Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | oxford-uuid:35860ca1-f57d-4bd5-9b06-a8e4029638182022-03-26T13:32:31ZConformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:35860ca1-f57d-4bd5-9b06-a8e402963818EnglishSymplectic Elements at Oxford2004Faraldo-Gómez, JForrest, LBaaden, MBond, PDomene, CPatargias, GCuthbertson, JSansom, MSIn the current report, we provide a quantitative analysis of the convergence of the sampling of conformational space accomplished in molecular dynamics simulations of membrane proteins of duration in the order of 10 nanoseconds. A set of proteins of diverse size and topology is considered, ranging from helical pores such as gramicidin and small beta-barrels such as OmpT, to larger and more complex structures such as rhodopsin and FepA. Principal component analysis of the C(alpha)-atom trajectories was employed to assess the convergence of the conformational sampling in both the transmembrane domains and the whole proteins, while the time-dependence of the average structure was analyzed to obtain single-domain information. The membrane-embedded regions, particularly those of small or structurally simple proteins, were found to achieve reasonable convergence. By contrast, extra-membranous domains lacking secondary structure are often markedly under-sampled, exhibiting a continuous structural drift. This drift results in a significant imprecision in the calculated B-factors, which detracts from any quantitative comparison to experimental data. In view of such limitations, we suggest that similar analyses may be valuable in simulation studies of membrane protein dynamics, in order to attach a level of confidence to any biologically relevant observations. |
| spellingShingle | Faraldo-Gómez, J Forrest, L Baaden, M Bond, P Domene, C Patargias, G Cuthbertson, J Sansom, MS Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations. |
| title | Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations. |
| title_full | Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations. |
| title_fullStr | Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations. |
| title_full_unstemmed | Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations. |
| title_short | Conformational sampling and dynamics of membrane proteins from 10-nanosecond computer simulations. |
| title_sort | conformational sampling and dynamics of membrane proteins from 10 nanosecond computer simulations |
| work_keys_str_mv | AT faraldogomezj conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT forrestl conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT baadenm conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT bondp conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT domenec conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT patargiasg conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT cuthbertsonj conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations AT sansomms conformationalsamplinganddynamicsofmembraneproteinsfrom10nanosecondcomputersimulations |