Methods for estimation of model accuracy in CASP12

التفاصيل البيبلوغرافية
العنوان: Methods for estimation of model accuracy in CASP12
المؤلفون: Elofsson, Arne, Joo, Keehyoung, Keasar, Chen, Lee, Jooyoung, Maghrabi, Ali H. A., Manavalan, Balachandran, McGuffin, Liam J., Hurtado, David Menendez, Mirabello, Claudio, Pilstål, Robert, Sidi, Tomer, Uziela, Karolis, Wallner, Björn
المصدر: Proteins. 86:361-373
مصطلحات موضوعية: CASP, consensus predictions, estimates of model accuracy, machine learning, protein structure prediction, quality assessment
الوصف: Methods to reliably estimate the quality of 3D models of proteins are essential drivers for the wide adoption and serious acceptance of protein structure predictions by life scientists. In this article, the most successful groups in CASP12 describe their latest methods for estimates of model accuracy (EMA). We show that pure single model accuracy estimation methods have shown clear progress since CASP11; the 3 top methods (MESHI, ProQ3, SVMQA) all perform better than the top method of CASP11 (ProQ2). Although the pure single model accuracy estimation methods outperform quasi-single (ModFOLD6 variations) and consensus methods (Pcons, ModFOLDclust2, Pcomb-domain, and Wallner) in model selection, they are still not as good as those methods in absolute model quality estimation and predictions of local quality. Finally, we show that when using contact-based model quality measures (CAD, lDDT) the single model quality methods perform relatively better.
وصف الملف: electronic
الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-145749Test
https://liu.diva-portal.org/smash/get/diva2:1192521/FULLTEXT01.pdfTest
قاعدة البيانات: SwePub
الوصف
تدمد:08873585
10970134
DOI:10.1002/prot.25395