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本文引用的文献

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2
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Genome Biol. 2019 Nov 19;20(1):244. doi: 10.1186/s13059-019-1835-8.
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Function Prediction for G Protein-Coupled Receptors through Text Mining and Induction Matrix Completion.通过文本挖掘和归纳矩阵补全对G蛋白偶联受体进行功能预测
ACS Omega. 2019 Feb 12;4(2):3045-3054. doi: 10.1021/acsomega.8b02454. eCollection 2019 Feb 28.
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I-TASSER gateway: A protein structure and function prediction server powered by XSEDE.I-TASSER网关:一个由XSEDE提供支持的蛋白质结构与功能预测服务器。
Future Gener Comput Syst. 2019 Oct;99:73-85. doi: 10.1016/j.future.2019.04.011. Epub 2019 Apr 9.
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New Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods.通过评估计算功能预测方法揭示新的长时记忆基因。
G3 (Bethesda). 2019 Jan 9;9(1):251-267. doi: 10.1534/g3.118.200867.
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SIFTS: updated Structure Integration with Function, Taxonomy and Sequences resource allows 40-fold increase in coverage of structure-based annotations for proteins.SIFTS:更新后的结构整合功能、分类学和序列资源允许基于结构注释的蛋白质覆盖率增加 40 倍。
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J Proteome Res. 2018 Dec 7;17(12):4042-4050. doi: 10.1021/acs.jproteome.8b00383. Epub 2018 Nov 29.
9
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J Proteome Res. 2018 Dec 7;17(12):4186-4196. doi: 10.1021/acs.jproteome.8b00453. Epub 2018 Oct 16.
10
Exploring the Uncharacterized Human Proteome Using neXtProt.使用 neXtProt 探索人类非特征蛋白组。
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使用 2018-2019 年 neXtProt 的新增内容和 CAFA3 挑战赛,通过 I-TASSER/COFACTOR 管道对 uPE1 蛋白的功能注释进行盲测。

Blinded Testing of Function Annotation for uPE1 Proteins by I-TASSER/COFACTOR Pipeline Using the 2018-2019 Additions to neXtProt and the CAFA3 Challenge.

机构信息

CALIPHO Group , SIB Swiss Institute of Bioinformatics , Geneva , Switzerland.

Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva , Geneva , Switzerland.

出版信息

J Proteome Res. 2019 Dec 6;18(12):4154-4166. doi: 10.1021/acs.jproteome.9b00537. Epub 2019 Oct 18.

DOI:10.1021/acs.jproteome.9b00537
PMID:31581775
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6900986/
Abstract

In 2018, we reported a hybrid pipeline that predicts protein structures with I-TASSER and function with COFACTOR. I-TASSER/COFACTOR achieved Gene Ontology (GO) high prediction accuracies of Fmax = 0.69 and 0.57 for molecular function (MF) and biological process (BP), respectively, on 100 comprehensively annotated proteins. Now we report blinded analyses of newly annotated proteins in the critical assessment of function annotation (CAFA) three function prediction challenge and in neXtProt. For CAFA3 results released in May 2019, our predictions on 267 and 912 human proteins with newly annotated MF and BP terms achieved Fmax = 0.50 and 0.42, respectively, on "No Knowledge" proteins, and 0.51 and 0.74, respectively, on "Limited Knowledge" proteins. While COFACTOR consistently outperforms simple homology-based analysis, its accuracy still depends on template availability. Meanwhile, in neXtProt 2019-01, 25 proteins acquired new function annotation through literature curation at UniProt/Swiss-Prot. Before the release of these curated results, we submitted to neXtProt blinded predictions of free-text function annotation based on predicted GO terms. For 10 of the 25, a good match of free-text or GO term annotation was obtained. These blind tests represent rigorous assessments of I-TASSER/COFACTOR. neXtProt now provides links to precomputed I-TASSER/COFACTOR predictions for proteins without function annotation to facilitate experimental planning on "dark proteins".

摘要

2018 年,我们报告了一种混合管道,该管道使用 I-TASSER 预测蛋白质结构,使用 COFACTOR 预测功能。I-TASSER/COFACTOR 在 100 个全面注释的蛋白质上分别实现了基因本体论(GO)分子功能(MF)和生物过程(BP)的高预测准确率,Fmax = 0.69 和 0.57。现在,我们报告了在功能注释关键评估(CAFA)三项功能预测挑战和 neXtProt 中对新注释蛋白质的盲分析。对于 2019 年 5 月发布的 CAFA3 结果,我们对具有新注释 MF 和 BP 术语的 267 个人类蛋白质和 912 个人类蛋白质的预测,在“无知识”蛋白质上的 Fmax 分别为 0.50 和 0.42,在“有限知识”蛋白质上的 Fmax 分别为 0.51 和 0.74。虽然 COFACTOR 始终优于简单的基于同源性的分析,但它的准确性仍然取决于模板的可用性。同时,在 neXtProt 2019-01 中,通过 UniProt/Swiss-Prot 的文献整理,25 种蛋白质获得了新的功能注释。在这些经过整理的结果发布之前,我们根据预测的 GO 术语向 neXtProt 提交了对自由文本功能注释的盲预测。在这 25 种蛋白质中,有 10 种获得了自由文本或 GO 术语注释的良好匹配。这些盲测代表了对 I-TASSER/COFACTOR 的严格评估。neXtProt 现在为没有功能注释的蛋白质提供了预计算的 I-TASSER/COFACTOR 预测链接,以方便“暗蛋白质”的实验规划。