AlphaFold2 in biomedical research: facilitating the development of diagnostic strategies for disease

IF 3.9 3区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Frontiers in Molecular Biosciences Pub Date : 2024-07-30 DOI:10.3389/fmolb.2024.1414916

Hong Zhang, Jiajing Lan, Huijie Wang, Ruijie Lu, Nanqi Zhang, Xiaobai He, Jun Yang, Linjie Chen

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Abstract

Proteins, as the primary executors of physiological activity, serve as a key factor in disease diagnosis and treatment. Research into their structures, functions, and interactions is essential to better understand disease mechanisms and potential therapies. DeepMind’s AlphaFold2, a deep-learning protein structure prediction model, has proven to be remarkably accurate, and it is widely employed in various aspects of diagnostic research, such as the study of disease biomarkers, microorganism pathogenicity, antigen-antibody structures, and missense mutations. Thus, AlphaFold2 serves as an exceptional tool to bridge fundamental protein research with breakthroughs in disease diagnosis, developments in diagnostic strategies, and the design of novel therapeutic approaches and enhancements in precision medicine. This review outlines the architecture, highlights, and limitations of AlphaFold2, placing particular emphasis on its applications within diagnostic research grounded in disciplines such as immunology, biochemistry, molecular biology, and microbiology.

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生物医学研究中的 AlphaFold2：促进疾病诊断策略的开发

蛋白质是生理活动的主要执行者，是疾病诊断和治疗的关键因素。研究蛋白质的结构、功能和相互作用对于更好地了解疾病机制和潜在疗法至关重要。DeepMind 的 AlphaFold2 是一种深度学习蛋白质结构预测模型，已被证明非常准确，并被广泛应用于诊断研究的各个方面，如疾病生物标志物、微生物致病性、抗原抗体结构和错义突变的研究。因此，AlphaFold2 是连接蛋白质基础研究与疾病诊断突破、诊断策略开发、新型治疗方法设计和精准医学强化的绝佳工具。本综述概述了 AlphaFold2 的结构、亮点和局限性，特别强调了它在免疫学、生物化学、分子生物学和微生物学等学科的诊断研究中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Molecular Biosciences Biochemistry, Genetics and Molecular Biology-Biochemistry

CiteScore

7.20

自引率

4.00%

发文量

1361

审稿时长

14 weeks

期刊介绍： Much of contemporary investigation in the life sciences is devoted to the molecular-scale understanding of the relationships between genes and the environment — in particular, dynamic alterations in the levels, modifications, and interactions of cellular effectors, including proteins. Frontiers in Molecular Biosciences offers an international publication platform for basic as well as applied research; we encourage contributions spanning both established and emerging areas of biology. To this end, the journal draws from empirical disciplines such as structural biology, enzymology, biochemistry, and biophysics, capitalizing as well on the technological advancements that have enabled metabolomics and proteomics measurements in massively parallel throughput, and the development of robust and innovative computational biology strategies. We also recognize influences from medicine and technology, welcoming studies in molecular genetics, molecular diagnostics and therapeutics, and nanotechnology. Our ultimate objective is the comprehensive illustration of the molecular mechanisms regulating proteins, nucleic acids, carbohydrates, lipids, and small metabolites in organisms across all branches of life. In addition to interesting new findings, techniques, and applications, Frontiers in Molecular Biosciences will consider new testable hypotheses to inspire different perspectives and stimulate scientific dialogue. The integration of in silico, in vitro, and in vivo approaches will benefit endeavors across all domains of the life sciences.