ModFOLD8: accurate global and local quality estimates for 3D protein models.
ModFOLD8: accurate global and local quality estimates for 3D protein models.
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DOI：
10.1093/nar/gkab321
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发表时间：
2021-07-02
影响因子：
14.9
通讯作者：
Adiyaman R
中科院分区：
文献类型：
--
作者：
McGuffin LJ;Aldowsari FMF;Alharbi SMA;Adiyaman R
用于估计蛋白质3D模型质量的方法是推动更广泛的生物科学界接受和利用预测三级结构的重要工具。在这里，我们描述了ModFOLD的重大更新，在过去的十年中，ModFOLD一直保持其作为3D蛋白质模型全球和局部质量预测的领先服务器的地位（超过20，000个独立外部用户）。ModFOLD 8是服务器的最新版本，它结合了多个纯单模型和准单模型方法的优势。网络服务器界面已经得到改进，预测准确性也不断提高，这是通过整合新开发的评分方法和先进的基于深度学习的残留物接触预测实现的。ModFOLD服务器的每个版本都在两年一度的CASP实验中进行了独立的盲测，并通过CAMEO项目进行了持续评估。在CASP 13和CASP 14中，ModFOLD 7和ModFOLD 8变体根据几乎所有的官方分析都排在前10名的质量估计方法之列。在CASP 14之前，ModFOLD 8也被用于评估SARS-CoV-2蛋白模型，作为CASP Commons 2020倡议的一部分。ModFOLD 8服务器可在https://www.reading.ac.uk/bioinf/ModFOLD/上免费获得。ModFOLD 8预测的3D蛋白质模型的局部质量估计。
Methods for estimating the quality of 3D models of proteins are vital tools for driving the acceptance and utility of predicted tertiary structures by the wider bioscience community. Here we describe the significant major updates to ModFOLD, which has maintained its position as a leading server for the prediction of global and local quality of 3D protein models, over the past decade (>20 000 unique external users). ModFOLD8 is the latest version of the server, which combines the strengths of multiple pure-single and quasi-single model methods. Improvements have been made to the web server interface and there has been successive increases in prediction accuracy, which were achieved through integration of newly developed scoring methods and advanced deep learning-based residue contact predictions. Each version of the ModFOLD server has been independently blind tested in the biennial CASP experiments, as well as being continuously evaluated via the CAMEO project. In CASP13 and CASP14, the ModFOLD7 and ModFOLD8 variants ranked among the top 10 quality estimation methods according to almost every official analysis. Prior to CASP14, ModFOLD8 was also applied for the evaluation of SARS-CoV-2 protein models as part of CASP Commons 2020 initiative. The ModFOLD8 server is freely available at: https://www.reading.ac.uk/bioinf/ModFOLD/. ModFOLD8 local quality estimates for a predicted 3D protein model.
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影响因子：
2.9
作者：
Haas J;Barbato A;Behringer D;Studer G;Roth S;Bertoni M;Mostaguir K;Gumienny R;Schwede T
通讯作者：
Schwede T
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影响因子：
14.9
作者：
Maghrabi AHA;McGuffin LJ
通讯作者：
McGuffin LJ
影响因子：
2.9
作者：
Elofsson, Arne;Joo, Keehyoung;Wallner, Bjorn
通讯作者：
Wallner, Bjorn
影响因子：
14.9
作者：
McGuffin LJ;Atkins JD;Salehe BR;Shuid AN;Roche DB
通讯作者：
Roche DB
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影响因子：
5.8
作者：
Hanson, Jack;Peliwal, Kuldip;Zhou, Yaoqi
通讯作者：
Zhou, Yaoqi