Modeling Small Proteins with I-TASSER
Author Information
Author(s): Wu Sitao, Skolnick Jeffrey, Zhang Yang
Primary Institution: Center for Bioinformatics and Department of Molecular Bioscience, University of Kansas
Hypothesis
Can the I-TASSER method effectively predict the structures of small single-domain proteins from scratch?
Conclusion
I-TASSER can consistently predict correct folds and sometimes high-resolution models for small single-domain proteins, outperforming other methods in computational efficiency.
Supporting Evidence
- I-TASSER models had an average Cα-RMSD of 3.8Å for 16 small proteins.
- I-TASSER outperformed TOUCHSTONE-II in 17 out of 20 cases.
- The average CPU time for I-TASSER was significantly lower than that for ROSETTA.
Takeaway
The I-TASSER method helps scientists figure out how small proteins fold, and it does this faster than other methods.
Methodology
The study developed I-TASSER by iteratively implementing the TASSER method and tested it on three benchmarks of small proteins.
Limitations
The frequency of high-resolution predictions is lower than that of the all-atomic ROSETTA method.
Statistical Information
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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