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Protein structure model refinement in CASP12 using short and long molecular dynamics simulations in implicit solvent.

Genki Terashi¹, Daisuke Kihara^1,2

¹Department of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907.

|August 24, 2017

Summary

Protein structure prediction refinement is crucial for detailed applications. Our method using short molecular dynamics (MD) simulations achieved top performance in CASP12, comparable to longer simulations.

Keywords:

CASP computational method molecular dynamics protein structure prediction protein structure refinement structure modeling template-based modeling

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Area of Science:

Computational Biology
Structural Biology
Biophysics

Background:

Protein structure prediction accuracy is vital for biological and medical applications.
Model refinement is essential to improve predicted protein structures for detailed analyses.
Refinement is a key category in the Critical Assessment of Techniques for Protein Structure Prediction (CASP).

Purpose of the Study:

To evaluate the performance of a novel protein structure refinement method in CASP12.
To assess the effectiveness of short molecular dynamics (MD) simulations in implicit solvent for structure refinement.
To compare the performance of the developed method against other leading techniques.

Main Methods:

Utilized inexpensive, short molecular dynamics (MD) simulations in implicit solvent for model refinement.
Participated in the refinement category of CASP12.
Analyzed the impact of the refinement method on different regions of protein structures.

Main Results:

Achieved top-tier performance in the CASP12 refinement category, consistent with CASP11 results.
Short MD simulations yielded performance comparable to methods employing longer simulations.
Improvements were observed across entire structural regions, not limited to flexible loops.

Conclusions:

Short molecular dynamics (MD) simulations in implicit solvent are an effective and efficient strategy for protein structure refinement.
The developed method demonstrates competitive performance in CASP, highlighting its practical utility.
Further research is needed to address challenges in refining large conformational changes involving significant domain or secondary structure movements.