{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T15:19:08Z","timestamp":1764688748933},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: The accurate prediction of the quality of 3D models is a key component of successful protein tertiary structure prediction methods. Currently, clustering- or consensus-based Model Quality Assessment Programs (MQAPs) are the most accurate methods for predicting 3D model quality; however, they are often CPU intensive as they carry out multiple structural alignments in order to compare numerous models. In this study, we describe ModFOLDclustQ\u2014a novel MQAP that compares 3D models of proteins without the need for CPU intensive structural alignments by utilizing the Q measure for model comparisons. The ModFOLDclustQ method is benchmarked against the top established methods in terms of both accuracy and speed. In addition, the ModFOLDclustQ scores are combined with those from our older ModFOLDclust method to form a new method, ModFOLDclust2, that aims to provide increased prediction accuracy with negligible computational overhead.<\/jats:p>\n               <jats:p>Results: The ModFOLDclustQ method is competitive with leading clustering-based MQAPs for the prediction of global model quality, yet it is up to 150 times faster than the previous version of the ModFOLDclust method at comparing models of small proteins (&amp;lt;60 residues) and over five times faster at comparing models of large proteins (&amp;gt;800 residues). Furthermore, a significant improvement in accuracy can be gained over the previous clustering-based MQAPs by combining the scores from ModFOLDclustQ and ModFOLDclust to form the new ModFOLDclust2 method, with little impact on the overall time taken for each prediction.<\/jats:p>\n               <jats:p>Availability: The ModFOLDclustQ and ModFOLDclust2 methods are available to download from http:\/\/www.reading.ac.uk\/bioinf\/downloads\/<\/jats:p>\n               <jats:p>Contact: \u00a0l.j.mcguffin@reading.ac.uk<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp629","type":"journal-article","created":{"date-parts":[[2009,11,7]],"date-time":"2009-11-07T02:18:23Z","timestamp":1257560303000},"page":"182-188","source":"Crossref","is-referenced-by-count":97,"title":["Rapid model quality assessment for protein structure predictions using the comparison of multiple models without structural alignments"],"prefix":"10.1093","volume":"26","author":[{"given":"Liam J.","family":"McGuffin","sequence":"first","affiliation":[{"name":"School of Biological Sciences, University of Reading, Whiteknights, Reading RG6 6AS, UK"}]},{"given":"Daniel B.","family":"Roche","sequence":"additional","affiliation":[{"name":"School of Biological Sciences, University of Reading, Whiteknights, Reading RG6 6AS, UK"}]}],"member":"286","published-online":{"date-parts":[[2009,11,6]]},"reference":[{"key":"2023012508170871900_B1","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1002\/prot.22288","article-title":"Applying undertaker cost functions to model quality assessment","volume":"75","author":"Archie","year":"2009","journal-title":"Proteins"},{"key":"2023012508170871900_B2","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1002\/prot.22508","article-title":"Applying undertaker to quality assessment","volume":"77","author":"Archie","year":"2009","journal-title":"Proteins"},{"key":"2023012508170871900_B3","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1002\/prot.22591","article-title":"Assessment of CASP8 structure predictions for template free targets","volume":"77","author":"Ben-David","year":"2009","journal-title":"Proteins"},{"key":"2023012508170871900_B4","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1002\/prot.22532","article-title":"Global and local model quality estimation at CASP8 using the scoring functions QMEAN and QMEANclust","volume":"77","author":"Benkert","year":"2009","journal-title":"Proteins"},{"key":"2023012508170871900_B5","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1002\/cpe.658","article-title":"Benchmarking Java against C and Fortran for scientific applications","volume":"15","author":"Bull","year":"2003","journal-title":"Concur. 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