MaxOcc
MaxOcc quantifies maximum occurrence (MO) by integrating SAXS and NMR data to compute the fraction of time flexible proteins spend in specific solution conformations.
Key Features:
- Conformational Space Sampling: Performs extensive sampling of protein conformational space to enable detailed analysis of conformational populations.
- MO Map Construction: Constructs maximum occurrence (MO) maps from experimental data to identify the most probable solution conformations.
- Data Integration: Integrates Small-Angle X-ray Scattering (SAXS) and Nuclear Magnetic Resonance (NMR) data, specifically pseudocontact shifts and self-orientation residual dipolar couplings derived from paramagnetic lanthanide ions.
- Case Study Validation: Validated on the flexible two-domain protein calmodulin (CaM), where SAXS and NMR showed crystalline "closed" and "fully extended" conformations with MOs of 5% and 15%, respectively, and other extended conformations with MOs up to 35%.
- Universal Applicability: Applicable to diverse proteins using standard SAXS data and specific NMR data on lanthanide derivatives obtained via native metal sites or lanthanide tagging.
Scientific Applications:
- Quantification of Solution Populations: Determines the fraction of time flexible proteins occupy specific conformations in solution using MO values.
- Structural and Functional Interpretation: Informs understanding of protein function and interactions by identifying prevalent conformations under native-like conditions.
- Support for Structural Biology, Biochemistry, and Drug Design: Provides population-weighted conformational information relevant to mechanistic studies and ligand design.
Methodology:
Performs extensive conformational space sampling, constructs MO maps from experimental data, and integrates SAXS with NMR pseudocontact shifts and self-orientation residual dipolar couplings derived from paramagnetic lanthanide ions.
Topics
Collections
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 2/16/2015
- Last Updated:
- 11/25/2024
Operations
Publications
Bertini I, Giachetti A, Luchinat C, Parigi G, Petoukhov MV, Pierattelli R, Ravera E, Svergun DI. Conformational Space of Flexible Biological Macromolecules from Average Data. Journal of the American Chemical Society. 2010;132(38):13553-13558. doi:10.1021/ja1063923. PMID:20822180.
DOI: 10.1021/ja1063923
PMID: 20822180