当前位置:科学网首页 > 小柯机器人 >详情
研究揭示真核生物核心蛋白复合体的计算结构
作者:小柯机器人 发布时间:2021/11/13 22:27:48

美国华盛顿大学David Baker、德州大学西南医学中心Qian Cong等研究人员合作揭示真核生物核心蛋白复合体的计算结构。2021年11月11日,《科学》杂志在线发表了这项成果。

研究人员利用全蛋白质组氨基酸协同进化分析和基于深度学习的结构建模方面的进展,系统地识别并建立了酿酒酵母蛋白质组中核心真核生物蛋白质复合物的精确模型。研究人员使用RoseTTAFold和AlphaFold的组合来筛选830万对酵母蛋白的配对多序列比对,识别出1505个可能相互作用的蛋白,并为106个以前未知的组合和806个未被结构表征的蛋白建立结构模型。这些复合体有多达5个亚单位,在真核细胞的几乎所有关键过程中发挥作用,并提供了对生物功能的广泛见解。

据介绍,蛋白质与蛋白质的相互作用在生物学中发挥着关键作用,但许多真核生物蛋白质复合物的结构是未知的,而且可能有许多相互作用尚未被识别。

附:英文原文

Title: Computed structures of core eukaryotic protein complexes

Author: Ian R. Humphreys, Jimin Pei, Minkyung Baek, Aditya Krishnakumar, Ivan Anishchenko, Sergey Ovchinnikov, Jing Zhang, Travis J. Ness, Sudeep Banjade, Saket R. Bagde, Viktoriya G. Stancheva, Xiao-Han Li, Kaixian Liu, Zhi Zheng, Daniel J. Barrero, Upasana Roy, Jochen Kuper, Israel S. Fernández, Barnabas Szakal, Dana Branzei, Josep Rizo, Caroline Kisker, Eric C. Greene, Sue Biggins, Scott Keeney, Elizabeth A. Miller, J. Christopher Fromme, Tamara L. Hendrickson, Qian Cong, David Baker

Issue&Volume: 2021-11-11

Abstract: Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take advantage of advances in proteome-wide amino acid coevolution analysis and deep-learning-based structure modeling to systematically identify and build accurate models of core eukaryotic protein complexes within the Saccharomyces cerevisiae proteome. We use a combination of RoseTTAFold and AlphaFold to screen through paired multiple sequence alignments for 8.3 million pairs of yeast proteins, identify 1,505 likely to interact, and build structure models for 106 previously unidentified assemblies and 806 that have not been structurally characterized. These complexes, which have as many as 5 subunits, play roles in almost all key processes in eukaryotic cells and provide broad insights into biological function.

DOI: abm4805

Source: https://www.science.org/doi/10.1126/science.abm4805

 

期刊信息
Science:《科学》,创刊于1880年。隶属于美国科学促进会,最新IF:41.037