Suppr超能文献

蛋白质结构预测的当前技术水平。

The current state of the art in protein structure prediction.

作者信息

Moult J

机构信息

Center for Advanced Research in Biotechnology, University of Maryland Biotechnology Institute, Rockville 20850, USA.

出版信息

Curr Opin Biotechnol. 1996 Aug;7(4):422-7. doi: 10.1016/s0958-1669(96)80118-2.

Abstract

The capabilities of current protein structure prediction methods have been assessed from the outcome of a set of blind tests. In comparative modeling, many of the numerical methods did not perform as well as expected, although the resulting structures are still of great practical use. The new methods of fold identification ('threading') were partially successful, and show considerable promise for the future. Except for secondary structure data, results from traditional ab initio methods were poor. A second blind prediction experiment is underway, and progress in all areas is expected.

摘要

通过一组盲测的结果对当前蛋白质结构预测方法的能力进行了评估。在比较建模中,许多数值方法的表现不如预期,尽管所得结构仍具有很大的实际用途。新的折叠识别方法(“穿线法”)取得了部分成功,并显示出了可观的未来前景。除二级结构数据外,传统从头预测方法的结果较差。第二项盲测实验正在进行中,预计在所有领域都会取得进展。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验