The refinement of predicted 3D protein models is crucial in bringing them closer towards
experimental accuracy for further computational studies. Refinement approaches can be …

There have been steady improvements in protein structure prediction during the past 2
decades. However, current methods are still far from consistently predicting structural …

Motivation: Modelling the 3D structures of proteins can often be enhanced if more than one
fold template is used during the modelling process. However, in many cases, this may also …

For the template‐based modeling (TBM) of CASP11 targets, we have developed three new
protein modeling protocols (nns for server prediction and LEE and LEER for human …

Abstract The Protein Model Portal (PMP) has been developed to foster effective use of 3D
molecular models in biomedical research by providing convenient and comprehensive …

Achieving atomic level accuracy in de novo structure prediction presents a formidable
challenge even in the context of protein models with correct topologies. High‐resolution …

Protein structures have proven to be a crucial piece of information for biomedical research.
Of the millions of currently sequenced proteins only a small fraction is experimentally solved …

Functional characterization of a protein is often facilitated by its 3D structure. However, the
fraction of experimentally known 3D models is currently less than 1% due to the inherently …

Refinement is the last step in protein structure prediction pipelines to convert approximate
homology models to experimental accuracy. Protocols based on molecular dynamics (MD) …

Motivation: Consensus structure prediction methods (meta-predictors) have higher accuracy
than individual structure prediction algorithms (their components). The goal for the …