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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Kalaivani, Raju Srinivasan, Narayanaswamy |
| Description | Country affiliation: India Author Affiliation: Kalaivani R ( Molecular Biophysics Unit, Indian Institute of Science, Lab no. 103, Bangalore 560012, Karnataka, India. ns@mbu.iisc.ernet.in.) |
| Abstract | We performed Gaussian network model based normal mode analysis of 3-dimensional structures of multiple active and inactive forms of protein kinases. In 14 different kinases, a more number of residues (1095) show higher structural fluctuations in inactive states than those in active states (525), suggesting that, in general, mobility of inactive states is higher than active states. This statistically significant difference is consistent with higher crystallographic B-factors and conformational energies for inactive than active states, suggesting lower stability of inactive forms. Only a small number of inactive conformations with the DFG motif in the 'in' state were found to have fluctuation magnitudes comparable to the active conformation. Therefore our study reports for the first time, intrinsic higher structural fluctuation for almost all inactive conformations compared to the active forms. Regions with higher fluctuations in the inactive states are often localized to the C-helix, G-helix and activation loop which are involved in the regulation and/or in structural transitions between active and inactive states. Further analysis of 476 kinase structures involved in interactions with another domain/protein showed that many of the regions with higher inactive-state fluctuation correspond to contact interfaces. We also performed extensive GNM analysis of (i) insulin receptor kinase bound to another protein and (ii) holo and apo forms of active and inactive conformations followed by multi-factor analysis of variance. We conclude that binding of small molecules or other domains/proteins reduce the extent of fluctuation irrespective of active or inactive forms. Finally, we show that the perceived fluctuations serve as a useful input to predict the functional state of a kinase. |
| File Format | HTM / HTML |
| ISSN | 1742206X |
| Issue Number | 4 |
| Volume Number | 11 |
| e-ISSN | 17422051 |
| Journal | Molecular BioSystems |
| Language | English |
| Publisher | Royal Society of Chemistry |
| Publisher Date | 2015-04-01 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | Subscribed |
| Subject Keyword | Discipline Molecular Biology Discipline Biochemistry Models, Chemical Models, Molecular Protein Kinases Chemistry Metabolism Humans Normal Distribution Protein Conformation Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Molecular Biology Biotechnology |
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