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Mining tertiary structural motifs for assessment of designability
1Department of Computer Science, Dartmouth College, Hanover, New Hampshire, USA.
Methods in Enzymology
|February 21, 2013
Summary
Scientists developed MaDCaT, a new method to assess protein tertiary structural motif designability. This tool analyzes sequence preferences, aiding in protein design and structure prediction.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Limited secondary-structural alphabets and sequence preferences in proteins have guided protein design and structure prediction.
- The growth of structural genomics data enables extending these analyses to tertiary structural motifs.
Purpose of the Study:
- To introduce a method for assessing the designability of tertiary structural motifs.
- To establish structure/sequence links for encoding designable motifs.
Main Methods:
- Developed MaDCaT, a structural similarity search methodology.
- MaDCaT identifies detailed geometric matches, unlike methods focusing on global topology.
- Assessed designability landscapes of two tertiary structural motifs using MaDCaT.
Main Results:
- Demonstrated the utility of MaDCaT in evaluating tertiary motif designability.
- Established structure/sequence links by identifying necessary sequence constraints for designable motifs.
Conclusions:
- Tertiary structural preferences, analogous to secondary-structure preferences, are valuable for de novo protein design.
- The MaDCaT method facilitates understanding and predicting protein structures based on tertiary motifs.
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