ModFOLD9: a web server for independent estimates of 3D protein model quality

McGuffin, L. J. ORCID: https://orcid.org/0000-0003-4501-4767 and Alharbi, S. M. A. (2024) ModFOLD9: a web server for independent estimates of 3D protein model quality. Journal of Molecular Biology. 168531. ISSN 1089-8638 doi: 10.1016/j.jmb.2024.168531

Abstract/Summary

Accurate models of protein tertiary structures are now available from numerous advanced prediction methods, although the accuracy of each method often varies depending on the specific protein target. Additionally, many models may still contain significant local errors. Therefore, reliable, independent model quality estimates are essential both for identifying errors and selecting the very best models for further biological investigations. ModFOLD9 is a leading independent server for detecting the local errors in models produced by any method, and it can accurately discriminate between high-quality models from multiple alternative approaches. ModFOLD9 incorporates several new scores from deep learning-based approaches, leading to greatly improved prediction accuracy compared with earlier versions of the server. ModFOLD9 is continuously independently benchmarked, and it is shown to be highly competitive with other public servers. ModFOLD9 is freely available at https://www.reading.ac.uk/bioinf/ModFOLD/.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/115716
Identification Number/DOI	10.1016/j.jmb.2024.168531
Refereed	Yes
Divisions	Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR) Life Sciences > School of Biological Sciences > Biomedical Sciences
Publisher	Elsevier
Download/View statistics	View download statistics for this item