A reproducibility analysis-based statistical framework for residue-residue evolutionary coupling detection
Yunda Si1, Yi Zhang1, Chengfei Yan1
1School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Briefings in Bioinformatics
|January 17, 2022
Summary
We developed irreproducible discovery rate (IDR)-DCA, a new framework to reliably detect significant evolutionary couplings from direct coupling analysis (DCA). This method improves residue pair selection for predicting protein and RNA structures.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- Direct Coupling Analysis (DCA) infers evolutionary coupled residue pairs from Multiple Sequence Alignments (MSAs).
- Selecting significant residue pairs from DCA results is challenging.
- Existing methods often require careful tuning of coupling score cutoffs.
Purpose of the Study:
- To develop a robust statistical framework for detecting significant evolutionary couplings.
- To improve the selection of residue pairs for contact prediction in proteins and RNAs.
- To enhance the reliability and performance of DCA-based predictions.
Main Methods:
- Developed irreproducible discovery rate (IDR)-DCA, a framework based on reproducibility analysis of DCA coupling scores.
- Applied IDR-DCA to manually created MSA replicates.
- Tested IDR-DCA with three DCA versions for contact prediction in monomeric proteins, protein-protein interactions, and monomeric RNAs.
- Performed MSA downsampling analysis to assess robustness.
Main Results:
- IDR-DCA enabled stable contact prediction performance using a universal threshold across different DCA methods.
- IDR-DCA consistently outperformed carefully tuned coupling score cutoffs.
- The framework demonstrated robustness through MSA downsampling.
- Constraints from IDR-DCA selected pairs effectively assisted RNA secondary structure prediction.
Conclusions:
- IDR-DCA provides a general and reliable statistical framework for evolutionary coupling detection.
- This method enhances the accuracy and stability of contact prediction for various biological molecules.
- IDR-DCA offers a significant improvement over traditional DCA result interpretation.
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