Editorial: Specialty grand challenge: Structure, spectroscopy, and imaging

Ana Maria da Costa Ferreira
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Abstract

In the interdisciplinary field of chemical biology, different scientists, generally chemists and biologists, undertake their best efforts to develop advanced methodologies and innovative approaches to address important scientific goals and societal demands. Furthermore, confronting the complexity of problems to be solved and sophisticated systems to be discerned, the partnership of diverse other specialists is demanded, including physicists, spectroscopists, pharmacologists, and physicians. Collectively, their complemented work brings together several areas of research, experimental as well as theoretical, to accomplish higher levels of knowledge about the structural and functional characterization of biological systems. A profound understanding of life and its wide-ranging processes are their final aims. Recently, AlphaFold, a revolutionary artificial intelligence (AI) network, predicted the structures of more than 200 million proteins in a universe of 1 million species, reaching to determine the protein structures of nearly every organism with known protein sequence data. It made it possible to understand the relationships between protein functions and its 3D structures, and the results are now available to scientists in a database (Callaway, 2022). These data can certainly encourage numerous types of studies in the future. A significant example of the structural feature’s importance in basic and applied investigations is the development of messenger RNA (mRNA)-based therapeutics (Dammes and Peer, 2020). Since its discovery in the 1960s, improvements in its engineering to express therapeutic proteins or manipulate specific genes’ expression have enabled a broad range of applications in intractable diseases, such as severe infections, varied forms of cancer, and genetic diseases, besides new vaccines, and accelerate its clinical translation (Kim, 2022; Qin, Tang, Chen et al., 2022). Because of the unfavorable characteristics of mRNA’s, such as large size, instability, immunogenicity, sensitivity to enzymatic degradation by RNases, and limited cellular uptake, many pivotal issues had to be solved during the development of mRNA-based therapeutics. Additionally, a variety of delivery strategies, including nanolipids, exosomes, or polymeric micelles as carriers, was crucial for their wide applicability (Uchida et al., 2020). Moreover, investigations in this chemico–biological field frequently lead to the conception, design, and provision of new molecules capable of interacting efficiently with selected biomolecules, and consequently causing remarkable modifications in their functional behavior. Results can establish new parameters and lead to new drugs that are more efficient, safe, and selective in facing illnesses and syndromes. Significant examples are found in the literature, illustrating important and innovative chemical–biological studies. They include small peptides and large protein effects in Alzheimer’s disease (Picone et al., 2022), emergence of bimolecular condensates as attractive targets for drug discovery (Mitrea OPEN ACCESS
编辑:专业大挑战:结构、光谱和成像
在化学生物学的跨学科领域,不同的科学家,通常是化学家和生物学家,尽最大努力开发先进的方法和创新的方法来解决重要的科学目标和社会需求。此外,面对要解决的复杂问题和要识别的复杂系统,需要不同其他专家的合作,包括物理学家、光谱学家、药理学家和医生。总的来说,他们互补的工作汇集了几个研究领域,实验和理论,以完成生物系统的结构和功能表征的更高水平的知识。对生命及其广泛过程的深刻理解是他们的最终目标。最近,革命性的人工智能(AI)网络AlphaFold预测了100万个物种中超过2亿种蛋白质的结构,从而确定了几乎所有已知蛋白质序列数据的生物的蛋白质结构。这使得了解蛋白质功能与其3D结构之间的关系成为可能,并且结果现在可以在数据库中提供给科学家(Callaway, 2022)。这些数据无疑可以鼓励未来开展多种类型的研究。结构特征在基础和应用研究中的重要性的一个重要例子是基于信使RNA (mRNA)的治疗方法的发展(Dammes和Peer, 2020)。自20世纪60年代发现以来,在表达治疗性蛋白质或操纵特定基因表达的工程方面的改进,除了新疫苗外,还使其广泛应用于棘手的疾病,如严重感染、各种形式的癌症和遗传疾病,并加速了其临床转化(Kim, 2022;秦,唐,陈等,2022)。由于mRNA的不利特性,如大尺寸、不稳定性、免疫原性、对rna酶降解的敏感性以及有限的细胞摄取,在基于mRNA的治疗方法的开发过程中必须解决许多关键问题。此外,多种递送策略,包括纳米脂、外泌体或聚合物胶束作为载体,对于其广泛的适用性至关重要(Uchida等人,2020)。此外,在这一化学生物学领域的研究经常导致新分子的概念、设计和提供,这些新分子能够与选定的生物分子有效地相互作用,从而导致其功能行为的显着改变。结果可以建立新的参数,并导致新药更有效,安全和选择性地面对疾病和综合征。在文献中发现了重要的例子,说明了重要的和创新的化学生物学研究。它们包括小肽和大蛋白在阿尔茨海默病中的作用(Picone等人,2022),双分子凝聚物作为药物发现的有吸引力的靶点的出现(Mitrea OPEN ACCESS)
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