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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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LOOPER: a molecular mechanics-based algorithm for protein loop prediction.

Velin Z Spassov¹, Paul K Flook, Lisa Yan

¹Accelrys, 10188 Telesis Court, Suite 100, San Diego, CA 92121, USA. vss@accelrys.com

Protein Engineering, Design & Selection : PEDS

|January 16, 2008

Summary

This summary is machine-generated.

LOOPER is a new computational method for predicting protein loop structures. It efficiently samples conformations, significantly reducing computational cost while finding near-native protein loop conformations.

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Area of Science:

Computational Biology
Structural Biology
Biophysics

Background:

Predicting protein loop conformations is challenging due to the exponential increase in possible states.
Existing ab initio methods often rely on computationally expensive sampling techniques.

Purpose of the Study:

To introduce LOOPER, a novel ab initio method for predicting protein loop conformations.
To develop an efficient computational strategy that overcomes the limitations of existing methods.

Main Methods:

LOOPER employs a systematic search strategy with minimal sampling of backbone torsion angles.
It utilizes CHARMm force field parameters for energy minimization and scoring.
A novel iso-energy contour map is used for initial dihedral angle selection, serving as an alternative to Ramachandra plots.

Main Results:

LOOPER consistently identifies near-native protein loop conformations in validation studies.
The method demonstrates significantly lower computational overhead compared to exhaustive search strategies.
The approach efficiently samples conformational space by selecting representative states for residues.

Conclusions:

LOOPER offers an efficient and effective approach for ab initio protein loop modeling.
The method provides a computationally tractable alternative for predicting protein structures.
The systematic sampling and novel validation map contribute to its success.