ModFOLD9:独立评估三维蛋白质模型质量的网络服务器

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
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引用次数: 0

摘要

目前,许多先进的预测方法都能提供精确的蛋白质三级结构模型,但每种方法的准确性往往因特定蛋白质目标而异。此外,许多模型可能仍然包含明显的局部误差。因此,可靠、独立的模型质量评估对于识别错误和为进一步的生物学研究选择最佳模型至关重要。ModFOLD9 是一个领先的独立服务器,可用于检测任何方法生成的模型中的局部误差,并能准确区分来自多种替代方法的高质量模型。ModFOLD9 采用了基于深度学习方法的多个新分数,与早期版本的服务器相比,预测准确率大大提高。ModFOLD9 不断接受独立基准测试,结果表明它与其他公共服务器相比具有很强的竞争力。ModFOLD9 可在 https://www.reading.ac.uk/bioinf/ModFOLD/ 免费获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ModFOLD9: A Web Server for Independent Estimates of 3D Protein Model Quality

ModFOLD9: A Web Server for Independent Estimates of 3D Protein Model Quality

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/.

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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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