Three-dimensional protein structure prediction: Methods and computational strategies
A long standing problem in structural bioinformatics is to determine the three-dimensional (3-
D) structure of a protein when only a sequence of amino acid residues is given. Many …
D) structure of a protein when only a sequence of amino acid residues is given. Many …
Exploring the extremes of sequence/structure space with ensemble fold recognition in the program Phyre
RM Bennett‐Lovsey, AD Herbert… - Proteins: Structure …, 2008 - Wiley Online Library
Structural and functional annotation of the large and growing database of genomic
sequences is a major problem in modern biology. Protein structure prediction by detecting …
sequences is a major problem in modern biology. Protein structure prediction by detecting …
QMEAN server for protein model quality estimation
Abstract Model quality estimation is an essential component of protein structure prediction,
since ultimately the accuracy of a model determines its usefulness for specific applications …
since ultimately the accuracy of a model determines its usefulness for specific applications …
LOMETS: a local meta-threading-server for protein structure prediction
We developed LOMETS, a local threading meta-server, for quick and automated predictions
of protein tertiary structures and spatial constraints. Nine state-of-the-art threading programs …
of protein tertiary structures and spatial constraints. Nine state-of-the-art threading programs …
Can correct protein models be identified?
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 …
greatest importance for protein structure prediction methods. Several studies have examined …
Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
Predicting residue‐residue distance relationships (eg, contacts) has become the key
direction to advance protein structure prediction since 2014 CASP11 experiment, while …
direction to advance protein structure prediction since 2014 CASP11 experiment, while …
GraphQA: protein model quality assessment using graph convolutional networks
Motivation Proteins are ubiquitous molecules whose function in biological processes is
determined by their 3D structure. Experimental identification of a protein's structure can be …
determined by their 3D structure. Experimental identification of a protein's structure can be …
3D-Jury: a simple approach to improve protein structure predictions
Motivation: Consensus structure prediction methods (meta-predictors) have higher accuracy
than individual structure prediction algorithms (their components). The goal for the …
than individual structure prediction algorithms (their components). The goal for the …
ProQ3D: improved model quality assessments using deep learning
Protein quality assessment is a long-standing problem in bioinformatics. For more than a
decade we have developed state-of-art predictors by carefully selecting and optimising …
decade we have developed state-of-art predictors by carefully selecting and optimising …
GeneSilico protein structure prediction meta-server
MA Kurowski, JM Bujnicki - Nucleic acids research, 2003 - academic.oup.com
Rigorous assessments of protein structure prediction have demonstrated that fold
recognition methods can identify remote similarities between proteins when standard …
recognition methods can identify remote similarities between proteins when standard …