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Assignment validation software suite for the evaluation and presentation of protein resonance assignment data
Hunter N B Moseley1, Gurmukh Sahota, Gaetano T Montelione
1Department of Molecular Biology and Biochemistry, Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ 08854, USA.
Journal of Biomolecular NMR
|February 12, 2004
Summary
We developed new software tools to check the accuracy of protein resonance assignments. These Assignment Validation Software (AVS) utilities help ensure reliable data for protein structure analysis and database submission.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Accurate protein resonance assignments are crucial for determining protein structure.
- Existing methods for assignment validation can be time-consuming and may lack comprehensive reporting.
Purpose of the Study:
- To introduce a suite of utilities and GUI tools for evaluating protein resonance assignment quality.
- To provide researchers with reliable methods for validating assignment data before structure analysis or deposition.
Main Methods:
- Development of the Assignment Validation Software (AVS) suite.
- Integration of new GUI features into the AutoAssign software package.
- Utilizing resonance assignments and sequential connectivity data (e.g., triple resonance, NOE) as input.
Main Results:
- The AVS suite and AutoAssign GUI provide comprehensive reports and graphs for data validation.
- These tools facilitate the assessment of protein resonance assignment accuracy.
- The software supports validation for both automated and manual assignment methods.
Conclusions:
- The AVS suite and AutoAssign GUI offer valuable tools for enhancing the quality control of protein resonance assignments.
- These resources improve the reliability of data used in protein structure determination and deposition to databases like BMRB.