从 De Novo 到 Xeno：推进超越蛋白质的大分子设计。

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

ACS Synthetic Biology Pub Date : 2024-08-16 DOI:10.1021/acssynbio.4c00179

Tyler Stukenbroeker

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引用次数: 0

摘要

蛋白质合成方法已得到调整，以加入越来越多的非天然成分。与此同时，重新设计蛋白质结构和功能也迅速成为一种可行的能力。然而，这两种令人兴奋的趋势还没有出现有意义的交集。利用非蛋白源成分进行从头设计的能力要求合成和计算在共同目标和应用上保持一致。本研究将探讨这些领域的技术现状，并确定具体的重要应用，以推动该领域朝着通用大分子设计的方向发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

From De Novo to Xeno: Advancing Macromolecule Design beyond Proteins.

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From De Novo to Xeno: Advancing Macromolecule Design beyond Proteins.

Protein synthesis methods have been adapted to incorporate an ever-growing level of non-natural components. Meanwhile, design of de novo protein structure and function has rapidly emerged as a viable capability. Yet, these two exciting trends have yet to intersect in a meaningful way. The ability to perform de novo design with non-proteinogenic components requires that synthesis and computation align on common targets and applications. This perspective examines the state of the art in these areas and identifies specific, consequential applications to advance the field toward generalized macromolecule design.

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来源期刊

ACS Synthetic Biology 生物-

CiteScore

8.00

自引率

10.60%

发文量

380

审稿时长

6-12 weeks

期刊介绍： The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.