The ability to separate correct models of protein structures from less correct models is of the
greatest importance for protein structure prediction methods. Several studies have examined …

Central issues concerning protein structure prediction have been highlighted by the recently
published summary of the fourth community-wide protein structure prediction experiment …

Rigorous assessments of protein structure prediction have demonstrated that fold
recognition methods can identify remote similarities between proteins when standard …

A major limitation of current comparative modeling methods is the accuracy with which
regions that are structurally divergent from homologues of known structure can be modeled …

Robetta is a fully automated protein structure prediction server that uses the Rosetta
fragment‐insertion method. It combines template‐based and de novo structure prediction …

Background A detailed understanding of an RNA's correct secondary and tertiary structure is
crucial to understanding its function and mechanism in the cell. Free energy minimization …

Recognizing structural similarity without significant sequence identity has proved to be a
challenging task. Sequence‐based and structure‐based methods as well as their …

An elaborate knowledge‐based energy function is designed for fold recognition. It is a
residue‐level single‐body potential so that highly efficient dynamic programming method …

This article provides an introduction to the special issue of the journal Proteins dedicated to
the fifth CASP experiment to assess the state of the art in protein structure prediction. The …

Abstract The Livermore Prediction Center conducted the target collection and prediction
submission processes for Critical Assessment of Protein Structure Prediction (CASP4) and …