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连续自动化模型评估(CAMEO)——对完全自动化评估结构预测方法的未来展望。

Continuous Automated Model EvaluatiOn (CAMEO)-Perspectives on the future of fully automated evaluation of structure prediction methods.

机构信息

Biozentrum, University of Basel, Basel, Switzerland.

Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.

出版信息

Proteins. 2021 Dec;89(12):1977-1986. doi: 10.1002/prot.26213. Epub 2021 Aug 19.

Abstract

The Continuous Automated Model EvaluatiOn (CAMEO) platform complements the biennial CASP experiment by conducting fully automated blind evaluations of three-dimensional protein prediction servers based on the weekly prerelease of sequences of those structures, which are going to be published in the upcoming release of the Protein Data Bank. While in CASP14, significant success was observed in predicting the structures of individual protein chains with high accuracy, significant challenges remain in correctly predicting the structures of complexes. By implementing fully automated evaluation of predictions for protein-protein complexes, as well as for proteins in complex with ligands, peptides, nucleic acids, or proteins containing noncanonical amino acid residues, CAMEO will assist new developments in those challenging areas of active research.

摘要

连续自动模型评估 (CAMEO) 平台通过对基于这些结构的每周预发布序列的三维蛋白质预测服务器进行全自动盲评估,补充了两年一度的 CASP 实验,这些结构将在下一个蛋白质数据库发布版中公布。虽然在 CASP14 中,成功地以高精度预测单个蛋白质链的结构,但在正确预测复合物的结构方面仍存在重大挑战。通过对蛋白质-蛋白质复合物以及与配体、肽、核酸或含有非典型氨基酸残基的蛋白质的预测进行全自动评估,CAMEO 将协助这些具有挑战性的研究领域的新发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee1/9540646/8c0ff7dd8d43/PROT-89-1977-g003.jpg

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