Efficient identification of near-native conformations in ab initio protein structure prediction using structural profiles
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Updated: Jun 20, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Katrin Wolff1, Michele Vendruscolo, Markus Porto
1Institut für Festkörperphysik, Technische Universität Darmstadt, 64289 Darmstadt, Germany.
Abstract:
One of the major bottlenecks in many ab initio protein structure prediction methods is currently the selection of a small number of candidate structures for high-resolution refinement from large sets of low-resolution decoys. This step often includes a scoring by low-resolution energy functions and a clustering of conformations by their pairwise root mean square deviations (RMSDs). As an efficient selection is crucial to reduce the overall computational cost of the predictions, any improvement in this direction can increase the overall performance of the predictions and the range of protein structures that can be predicted. We show here that the use of structural profiles, which can be predicted with good accuracy from the amino acid sequences of proteins, provides an efficient means to identify good candidate structures.
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