Broadening environmental research in the era of accurate protein structure determination and predictions

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外文摘要：The deep-learning protein structure prediction method AlphaFold2 has garnered enormous attention beyond the realm of structural biology,for its groundbreaking contribution to solving the"protein folding problem".In this perspective,we explore the connection between protein structure studies and environmental research,delving into the potential for addressing specific environmental challenges.Proteins are promising for environmental applications because of the functional diversity endowed by their structural complexity.However,structural studies on proteins with environmental significance remain scarce.Here,we present the opportunity to study proteins by advancing experimental determination and deep-learning prediction methods.Specifically,the latest progress in environmental research via cryogenic electron microscopy is highlighted.It allows us to determine the structure of protein complexes in their native state within cells at molecular resolution,revealing environmentally-associated structural dynamics.With the remarkable advancements in computational power and experimental resolution,the study of protein structure and dynamics has reached unprecedented depth and accuracy.These advancements will undoubtedly accelerate the establishment of comprehensive environmental protein structural and functional databases.Tremendous opportunities for protein engineering exist to enable innovative solutions for environmental applications,such as the degradation of persistent contaminants,and the recovery of valuable metals as well as rare earth elements.

外文关键词：

Environmental proteinsProtein structureCryogenic electron microscopyProtein structure predictionProtein engineeringArtificial Intelligence

作者：

Mingda Zhou、Tong Wang、Ke Xu、Han Wang、Zibin Li、Wei-xian Zhang、Yayi Wang

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作者单位：

State Key Laboratory of Pollution Control and Resources Reuse,Shanghai Institute of Pollution Control and Ecological Security,College of Environmental Science and Engineering,Tongji University,Shanghai 200092,China

Translational Research Institute of Brain and Brain-Like Intelligence,Shanghai Fourth People's Hospital,School of Medicine,Tongji University,Shanghai 200434,China

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaState Key Laboratory for Pollution Control(China)is acknowledged

项目编号：

5222500151978485

出版年：

2024

DOI：

10.1007/s11783-024-1851-0

环境科学与工程前沿

高等教育出版社

环境科学与工程前沿

影响因子：0.545

ISSN：2095-2201

年,卷(期)：2024.18(7)