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Absolute configuration assignment of marine natural products in Brazil 巴西海洋天然产品的绝对配置分配
Pub Date : 2023-07-28 DOI: 10.3389/fntpr.2023.1224564
A. Batista, Fernando M. dos Santos, A. Valverde
Brazil is one of the most biodiverse countries in the world, with a coastline that stretches over 7,000 km including various marine ecosystems, such as coral reefs, mangroves, and seagrass beds, among other habitats. These diverse environments provide a rich source of compounds, derived from primary or secondary metabolism, which may have countless biological activities. Research on marine natural products (MNP) in Brazil has been ongoing for several decades and led to the discovery of numerous bioactive compounds with potential applications in medicine, agriculture, and cosmetics. These MNP are structurally complex, both from an architectural and stereochemical point of view. However, even with all the well-established techniques for the absolute configuration (AC) assignment, this stage of structural characterization of natural products is still under-explored and remains a challenge. This review presents an overview of natural product chemistry in Brazil, focusing on the stereochemical assignment of marine chiral compounds. The main goals are to describe the techniques employed in the assignments as well as to highlight the importance of choosing the appropriate methods for chiral natural products AC determinations.
巴西是世界上生物多样性最丰富的国家之一,海岸线长达7000多公里,包括各种海洋生态系统,如珊瑚礁、红树林、海草床等栖息地。这些多样化的环境提供了丰富的化合物来源,来源于初级或次级代谢,这些代谢可能具有无数的生物活性。巴西对海洋天然产物(MNP)的研究已经进行了几十年,并发现了许多生物活性化合物,这些化合物在医学、农业和化妆品方面具有潜在的应用前景。从建筑和立体化学的角度来看,这些MNP结构复杂。然而,即使有了所有完善的绝对构型(AC)分配技术,天然产物结构表征的这一阶段仍未得到充分探索,仍然是一个挑战。本文综述了巴西天然产物化学的概况,重点是海洋手性化合物的立体化学配位。主要目的是描述作业中使用的技术,并强调选择合适的手性天然产物AC测定方法的重要性。
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引用次数: 0
Recent advances in the development of CB1R selective probes CB1R选择性探针的研究进展
Pub Date : 2023-07-18 DOI: 10.3389/fntpr.2023.1196321
Arianna Amenta, Diego Caprioglio, Alberto Minassi, L. Panza, D. Passarella, V. Fasano, D. Imperio
Cannabinoid subtype 1 receptors (CB1Rs) are an important class of G protein-coupled receptors (GPCRs) belonging to the endocannabinoid system. CB1Rs play a crucial modulatory role in the functioning of other neurotransmitter systems and are involved in a wide range of physiological functions and dysfunctions; thus, they are considered one of the most important targets for drug development, as well as diagnostic purposes. Despite this, only a few molecules targeting this receptor are available on the pharmaceutical market, thus emphasizing the need to gain a deeper understanding of the complex activation pathways of CB1Rs and how they regulate diseases. As part of this review, we provide an overview of pharmacological and imaging tools useful for detecting CB1Rs. Herein, we summarize the derivations of cannabinoids and terpenoids with fluorescent compounds, radiotracers, or photochromic motifs. CB1Rs’ molecular probes may be used in vitro and, in some cases, in vivo for investigating and exploring the roles of CB1Rs together with the starting point for the development of CB1R-targeted drugs.
大麻素1亚型受体(Cannabinoid subtype 1 receptor, CB1Rs)是内源性大麻素系统中一类重要的G蛋白偶联受体(gpcr)。CB1Rs在其他神经递质系统的功能中起着至关重要的调节作用,并涉及广泛的生理功能和功能障碍;因此,它们被认为是药物开发和诊断目的最重要的靶标之一。尽管如此,药物市场上只有少数靶向该受体的分子,因此强调需要更深入地了解CB1Rs的复杂激活途径及其如何调节疾病。作为本综述的一部分,我们概述了用于检测CB1Rs的药理学和成像工具。在此,我们总结了大麻素和萜类化合物的衍生与荧光化合物,放射性示踪剂,或光致变色基序。CB1Rs的分子探针可用于体外,在某些情况下也可用于体内,用于研究和探索CB1Rs的作用,并为cb1r靶向药物的开发提供起点。
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引用次数: 1
Synthesis and biological evaluation of hydroxamate isosteres of acidic cannabinoids 酸性大麻素羟酸酯异构体的合成及生物学评价
Pub Date : 2023-06-26 DOI: 10.3389/fntpr.2023.1190053
H. I. M. Amin, F. Ruíz-Pino, J. Collado, G. Appendino, M. Tena-Sempere, E. Muñoz, Diego Caprioglio
Despite their early discovery, the bioactivity of acidic cannabinoids was long overlooked. Issues of stability and a pharmacological focus on Δ9-THC and its biological profile combined to relegate the non-narcotic native form of phytocannabinoids to a sort of investigational limbo. Recent studies have disclosed an attractive bioactivity profile for specific acidic phytocannabinoids but concerns about their limited stability have remained substantially unaddressed. To solve this issue, we have developed the hydroxamate derivatives of Δ8-tetrahydrocannabinolic acid-A (Δ8-THCA-AH, 6) and cannabidiolic acid (CBDAH, 5) as novel acidic cannabinoid bioisosteres, and we report here their synthesis and bioactivity profile against specific cannabinoid targets, as well as promising in vivo activity in a murine model of polycystic ovary syndrome (PCOS) associated with obesity.
尽管它们很早就被发现,但酸性大麻素的生物活性长期被忽视。稳定性问题和对Δ9-THC及其生物学特征的药理学关注结合起来,将植物大麻素的非麻醉天然形式降至一种研究的不确定状态。最近的研究揭示了特定酸性植物大麻素具有吸引人的生物活性概况,但对其有限稳定性的担忧仍然基本上没有得到解决。为了解决这一问题,我们开发了Δ8-tetrahydrocannabinolic acid- a (Δ8-THCA-AH, 6)和大麻二酚酸(CBDAH, 5)的羟酸衍生物作为新型酸性大麻素生物异构体,我们在这里报道了它们的合成和针对特定大麻素靶点的生物活性特征,以及在肥胖相关的多囊卵巢综合征(PCOS)小鼠模型中的有希望的体内活性。
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引用次数: 0
Editorial: Insights in structural and stereochemical analysis: 2022 社论:结构和立体化学分析的见解:2022
Pub Date : 2023-06-13 DOI: 10.3389/fntpr.2023.1224424
J. Batista, Q. Cass
With four articles, including one perspective, two reviews, and one original research article, the Research Topic Insights in Structural and Stereochemical Analysis: 2022 covers the state-of-the-art research being conducted in the analysis of the structure and 3D arrangements of natural product (NP) molecules. In the perspective article by Lopes and da Silva, mass spectrometry and some advanced landmarks are highlighted in respect to the main challenges and impacts of the chemical characterization of complex molecular structures. In this respect, the complexity of data analysis is discussed as one of the main limitations for time-limited tasks. Moreover, the observed expansion in the mass spectral database is not sufficient for the necessary data interpretation. As emphasized by the authors, the estimated number of spectra for ESI-MS/ MS in the public domain is in the order of 60,000 molecules, which is far below the chemical space, and “traditionally, most spectrometry techniques rely on database matching of previously characterized signals.” Meanwhile, the importance of the recently created large public databases is acknowledged as a means of characterizing large datasets acquired in complex samples such as NP extracts. Machine learning (ML)-based methods are also examined regarding their contribution to the structural prediction of classes of molecules that are poorly represented in spectral libraries. The imaging of small molecules by MALDI-MS grants spatial mapping of in situ NPs, allowing a better understanding of their function and distribution. As technological advances in terms of equipment, images and MS/MS data can be simultaneously generated, allowing the direct annotation of molecules. Additionally, the introduction of a third dimension by ionic mobility reveals the possibility of single-cell analysis by spatial resolution. This perspective article by Lopes and da Silva shines light on these significant issues and all the opportunities ahead of us in NP research. The original article of this Research Topic by Queiroz et al. is about the chemical profile of organic apolar and polar extracts from leaves and stems of Alzatea verticillata Ruiz & Pav. (Alzateaceae). By semipreparative LC, twelve compounds were isolated in a milligram scale, of which three were unknown. The structure elucidation of the isolated compounds was carried out based on NMR and HRMS analyses. The previously undescribed compounds included a dimeric lactone, dimethyl anemonin, and two unusual dimeric diphenyl cyclobutane dicarboxylic acids (β-truxinic derivatives). The X-ray crystallography of the new dimeric lactone revealed it as an (S,S), (R,R) racemate. This article provides a biogenetic proposal that is in line with the obtained racemate. Additionally, non-target LC-HRMS data OPEN ACCESS
包含四篇文章,包括一篇观点,两篇评论和一篇原创研究文章,研究主题洞察结构和立体化学分析:2022涵盖了在分析天然产物(NP)分子的结构和3D排列方面进行的最先进的研究。在Lopes和da Silva的展望文章中,质谱法和一些先进的里程碑在复杂分子结构的化学表征方面的主要挑战和影响得到了强调。在这方面,数据分析的复杂性被讨论为时间限制任务的主要限制之一。此外,在质谱数据库中观测到的扩展不足以进行必要的数据解释。正如作者所强调的那样,ESI-MS/ MS在公共领域的光谱估计数量约为60,000个分子,远远低于化学空间,并且“传统上,大多数光谱技术依赖于先前表征信号的数据库匹配”。同时,最近创建的大型公共数据库的重要性被认为是表征复杂样本(如NP提取)中获得的大型数据集的一种手段。还研究了基于机器学习(ML)的方法对光谱库中表现不佳的分子类别的结构预测的贡献。利用MALDI-MS对小分子进行成像,可以对原位NPs进行空间测绘,从而更好地了解它们的功能和分布。随着技术在设备方面的进步,可以同时生成图像和MS/MS数据,从而可以直接注释分子。此外,通过离子迁移率引入的第三维度揭示了通过空间分辨率进行单细胞分析的可能性。Lopes和da Silva的这篇观点文章阐明了这些重要问题以及NP研究中我们面临的所有机会。Queiroz等人的这篇研究主题的原始文章是关于Alzatea verticillata Ruiz & Pav叶和茎的有机极性和极性提取物的化学特征。(Alzateaceae)。半制备液相色谱法分离出12个毫克级化合物,其中3个为未知化合物。通过核磁共振和质谱分析对分离得到的化合物进行了结构鉴定。先前描述的化合物包括二聚体内酯,二甲基山葵素和两种不寻常的二聚体二苯基环丁烷二羧酸(β-truxinic衍生物)。新二聚内酯的x射线晶体学显示其为(S,S), (R,R)外消旋体。本文提供了一个与所得外消旋体一致的生物遗传学建议。此外,非目标LC-HRMS数据OPEN ACCESS
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引用次数: 0
In situ spatiotemporal mapping of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) inhibitor in pineapple (Ananas comosus) fruit tissue by MALDI mass spectrometry imaging MALDI质谱成像技术原位定位菠萝果实组织中3-羟基-3-甲基戊二酰辅酶a还原酶(HMGCR)抑制剂的时空分布
Pub Date : 2023-04-24 DOI: 10.3389/fntpr.2023.1160541
A. Suarez, Angel Ann B. Juanillo, D. C. D. Sison, J. I. Orajay, Maria Bella B. Javier, Diane Monique S. Baladjay, Yu-Liang Yang, J. Saludes, Doralyn S. Dalisay
Pineapple (Ananas comosus) fruit is a functional food that has become a part of healthy diets worldwide due to its nutrition and health benefits. Given this concept, the potential anti-hypercholesterolemic activity of pineapple fruit was assessed using in vitro HMG-CoA reductase (HMGCR) inhibition assay. Our findings show that pineapple fruit (PAF) extract showed HMGCR inhibition activity. These findings led to partial purification of PAF extract by gel filtration chromatography (GFC) whereby fraction PAF 06 exhibited 100.00% HMGCR inhibition at 10 mg/mL. Matrix assisted laser desorption ionization (MALDI) mass spectrometry profiling, HRMS, MS/MS, and dereplication identified N1, N10-diferuloylspermidine as potential HMGCR inhibitor in pineapple fruit. The MALDI mass spectrometry imaging (MSI) enabled the in situ spatiotemporal mapping of the HMGCR inhibitor, N1, N10-diferuloylspermidine, in the pineapple fruit tissue, with localization concentrated mainly in the tissue near the peel/shell and a gradual decrease towards the flesh and ovary. The MALDI MSI provided the first evidence of in situ spatial localization of N1, N10-diferuloylspermidine, a potential HMGCR inhibitor in pineapple while maintaining the cellular and structural features of the fruit tissues.
菠萝(Ananas comosus)水果是一种功能性食品,由于其营养和健康益处,已成为全球健康饮食的一部分。在此基础上,采用体外抑制HMG-CoA还原酶(HMGCR)的方法,对菠萝果实的抗高胆固醇活性进行了评价。结果表明,菠萝果提取物具有抑制HMGCR的活性。这些发现导致用凝胶过滤层析(GFC)部分纯化PAF提取物,其中PAF 06在10 mg/mL时表现出100.00%的HMGCR抑制作用。基质辅助激光解吸电离(MALDI)质谱分析、HRMS、MS/MS和重复分析鉴定了菠萝果实中N1, n10 -二亚精胺是潜在的HMGCR抑制剂。MALDI质谱成像(MSI)实现了HMGCR抑制剂N1, n10 -二阿魏酰基亚精胺在菠萝果实组织中的原位时空定位,定位主要集中在果皮/壳附近的组织,向果肉和子房逐渐减少。MALDI MSI首次证明了菠萝中潜在的HMGCR抑制剂N1, n10 -二维酰基亚精胺的原位空间定位,同时保持了果实组织的细胞和结构特征。
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引用次数: 1
Phytochemical study of Alzatea verticillata, the sole species belonging to the Alzateaceae family Alzatea verticillata (Alzatea verticillata)的植物化学研究
Pub Date : 2023-03-09 DOI: 10.3389/fntpr.2023.1147195
Marcos Marçal Ferreira Queiroz, R. Huber, L. Marcourt, L. Guénée, Pierre-Marie Allard, Adriano Rutz, Louis-Félix Nothias, Concetta Carlotta De Ruvo, J. Kissling, Mahabir P. Gupta, Emerson Ferreira Queiroz, J. Wolfender
Alzatea verticillata Ruiz & Pav. (Alzateaceae) is a tropical tree from Central and South America. It is the only living species of Alzatea genus and the Alzateaceae family, all others being extinct. With the aim to investigate the possibility to find unusual natural products, the chemical content of the dichloromethane and methanolic extracts (stems and leaves) of A. verticillata have been investigated. Apolar and polar extracts were purified by semi-preparative HPLC using appropriate stationary phase columns allowing the isolation of 12 compounds: walterolactone B (2) walterolactone A/B β-D-pyranoglucoside (3), gallic acid (4), caffeic acid 4-O-β-D-glucopyranoside (6), walterolactone A/B 6-O-gallate-β-D-glucopyranoside (8), caffeic acid (9), 8-desmethylsideroxylin (11), sideroxylin (12) and 7,7′-bis(3,4-dihydroxyphenyl)-8,8′-cyclobutanedicarboxylic acid (7). Three isolated compounds are natural products described here for the first time: dimethyl-anemonin (1) and two β-truxinic acid derivatives (rel-(7S, 8R, 7′R, 8′S)-7,7′-bis(4-glucosyloxy-3-hydroxyphenyl)-8,8′-cyclobutane dicarboxylic acid (5) and rel-(7S, 8R, 7′R, 8′S)-7,7′-bis(4-glucosyloxy-3-hydroxyphenyl)-8,8′-cyclobutane-9-methyl dicarboxylic acid (10). The structures of the isolated compounds were elucidated by NMR and HRMS. The structure of compound 1 was confirmed by X-ray crystallography. A MS-based metabolite analysis of the A. verticillata extracts revealed additional truxinic acid derivatives that were putatively annotated with the help of feature-based molecular network. The presence of phenolic compounds such as truxinic acid derivatives could explain the traditional use of this plant as these compounds are known to possess anti-inflammatory and anti-nociceptive properties.
Ruiz & Pav。是一种产于中美洲和南美洲的热带树木。它是Alzatea属和Alzateaceae家族中唯一存活的物种,其他所有物种都已灭绝。为了探索发现不同寻常的天然产物的可能性,研究了黄花蒿的二氯甲烷和甲醇提取物(茎和叶)的化学成分。极性和极性提取物采用半制备高效液相色谱法纯化,采用合适的固定相柱,分离出12种化合物:walterolactone B (2) walterolactone A/B β- d -吡喃葡萄糖苷(3),没食子酸(4),咖啡酸4- o -β- d -葡萄糖苷(6),walterolactone A/B 6- o -没食子酸-β- d -葡萄糖苷(8),咖啡酸(9),8-去甲基sideroxylin (11), sideroxylin(12)和7,7 ' -双(3,4-二羟基苯基)-8,8 ' -环丁二羧酸(7)。三个分离的化合物是本文首次报道的天然产物:二甲基银苦苷(1)和两个β-truxinic酸衍生物(rel-(7S, 8R, 7 ' r,8 ' s)-7,7 ' -双(4-葡萄糖氧基-3-羟基苯基)-8,8 ' -环丁烷二羧酸(5)和rel-(7S, 8R, 7 ' r,8 ')-7,7 ' -双(4-葡萄糖氧基-3-羟基苯基)-8,8 ' -环丁烷-9-甲基二羧酸(10))。分离得到的化合物的结构经NMR和HRMS鉴定。化合物1的结构经x射线晶体学证实。基于质谱的黄花蒿提取物代谢物分析显示,在基于特征的分子网络的帮助下,假定注释了额外的truxinic酸衍生物。酚类化合物如曲辛酸衍生物的存在可以解释这种植物的传统用途,因为这些化合物已知具有抗炎和抗伤害性。
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引用次数: 0
From structural determination of natural products in complex mixtures to single cell resolution: Perspectives on advances and challenges for mass spectrometry 从复杂混合物中天然产物的结构测定到单细胞分辨率:质谱分析的进展和挑战
Pub Date : 2023-02-02 DOI: 10.3389/fntpr.2023.1109557
N. Lopes, Ricardo Roberto da Silva
The search for new Natural Products is one of the oldest interests for research in chemistry. The history of this discipline is very prolific, from its initial uses as medicine to advanced omics strategies to understand the mechanics of biological controls in living cells. The discoveries of morphine, penicillin, taxol and many other natural products revolutionized human health. During the last 40 years, excellent reviews published by Dr. David Newman and Dr. Gordon Crag have revealed that the pharmaceutical industry’s research into natural products has lost some of its steam. Nevertheless, new natural products for antimicrobials, antifungals, and anticancer drugs remained the main alternative. Furthermore, research institutes have seen great vigor, and several startup companies have emerged worldwide, seeking therapeutic alternatives based in natural products. Innovations on spectrometric hardware, allowing broader coverage of chemical classes and spatial mapping, and in software, enabling the interpretation of large volumes of data, afforded a renewed interest in natural products and are considered the most important enabling technology for the new companies. In this perspective article we give some historical context to exciting developments, on software and spatial resolution, that promise to pave the way for a bright future of Natural Products research.
寻找新的天然产物是化学研究中最古老的兴趣之一。这门学科的历史非常丰富,从最初的医学用途到先进的组学策略,以了解活细胞中生物控制的机制。吗啡、青霉素、紫杉醇和许多其他天然产物的发现彻底改变了人类的健康。在过去的40年里,大卫·纽曼博士和戈登·克雷格博士发表的优秀评论揭示了制药工业对天然产品的研究已经失去了一些动力。然而,抗菌剂、抗真菌剂和抗癌药物的新天然产物仍然是主要的替代方案。此外,研究机构也看到了巨大的活力,世界各地涌现了几家初创公司,寻求以天然产品为基础的治疗替代品。光谱测量硬件的创新,可以更广泛地覆盖化学类别和空间映射,而软件的创新,可以解释大量数据,使人们对天然产品重新产生兴趣,被认为是新公司最重要的支持技术。在这篇展望文章中,我们给出了一些令人兴奋的发展的历史背景,在软件和空间分辨率方面,这有望为天然产物研究的光明未来铺平道路。
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引用次数: 1
Machine learning in computational NMR-aided structural elucidation 计算核磁共振辅助结构解析中的机器学习
Pub Date : 2023-01-27 DOI: 10.3389/fntpr.2023.1122426
Iván Cortés, Cristina Cuadrado, A. Hernández Daranas, Ariel M. Sarotti
Structure elucidation is a stage of paramount importance in the discovery of novel compounds because molecular structure determines their physical, chemical and biological properties. Computational prediction of spectroscopic data, mainly NMR, has become a widely used tool to help in such tasks due to its increasing easiness and reliability. However, despite the continuous increment in CPU calculation power, classical quantum mechanics simulations still require a lot of effort. Accordingly, simulations of large or conformationally complex molecules are impractical. In this context, a growing number of research groups have explored the capabilities of machine learning (ML) algorithms in computational NMR prediction. In parallel, important advances have been made in the development of machine learning-inspired methods to correlate the experimental and calculated NMR data to facilitate the structural elucidation process. Here, we have selected some essential papers to review this research area and propose conclusions and future perspectives for the field.
结构解析是发现新化合物的一个至关重要的阶段,因为分子结构决定了它们的物理、化学和生物性质。光谱数据的计算预测,主要是核磁共振,由于其越来越简单和可靠,已成为一种广泛使用的工具,以帮助完成这些任务。然而,尽管CPU计算能力不断提高,经典量子力学模拟仍然需要大量的努力。因此,模拟大型或构象复杂的分子是不切实际的。在这种背景下,越来越多的研究小组已经探索了机器学习(ML)算法在计算核磁共振预测中的能力。与此同时,在机器学习启发的方法的发展方面取得了重要进展,这些方法将实验和计算的核磁共振数据联系起来,以促进结构解析过程。在这里,我们选择了一些重要的论文来回顾这一研究领域,并提出结论和未来的展望。
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引用次数: 4
An overview of the most threating diseases that affect worldwide citriculture: Main features, diagnose, and current control strategies 影响全球柑橘业的最具威胁性疾病概述:主要特征、诊断和当前控制策略
Pub Date : 2023-01-24 DOI: 10.3389/fntpr.2023.1045364
Hellen Bertoletti Barbieri, Laura Soler Fernandes, J. G. Pontes, Alan K. Pereira, T. Fill
Citriculture has been one of the most important agricultural activities worldwide. Brazil is among the five major citrus producers in the world, together with China, the European Union (EU), the United States, and Mexico. Together, these five groups are responsible for about 50% of the global citrus fruit production and this industrial segment is responsible for generating direct and indirect jobs. However, several citric diseases such as citrus canker, huanglongbing, citrus variegated chlorosis, and citrus black spot have been associated with annual losses of tons of fruits and orange trees impacting the global economy for decades. Citrus canker is caused by the Gram-negative bacteria Xanthomonas citri subsp. citri. and is associated with symptoms such as the formation of chlorotic rings in the leaves, stems, and fruits. Huanglongbing (HLB) is mainly associated with the Gram-negative bacteria Candidatus Liberibacter spp. and its main symptoms are the appearance of yellowish branches and deformed small leaves with yellowish spots. Citrus variegated chlorosis (CVC) is associated with the bacterium Xylella fastidiosa and causes chlorotic spots with irregular edges on leaves and deformation of new leaves. Citrus black spot (CBS) is caused by the fungus Phyllosticta citricarpa and generates lesions on fruits and reddish-brown leaf lesions. Since citrus is important for global agriculture, the current review addresses the main features of these important diseases including their symptoms and transmission, as well as the diagnosis and control strategies that have been studied so far for application in the field.
柑橘种植一直是世界范围内最重要的农业活动之一。巴西与中国、欧盟、美国和墨西哥是世界五大柑橘生产国之一。这五个集团共同负责全球约50%的柑橘类水果产量,这一工业部门负责创造直接和间接的就业机会。然而,几十年来,一些柑橘类疾病,如柑橘溃疡病、黄龙病、柑橘斑绿病和柑橘黑斑病,每年损失数吨水果和柑橘树,影响着全球经济。柑橘溃疡病是由革兰氏阴性菌柑橘黄单胞菌亚种引起的。citri。它与叶子、茎和果实中形成褪绿环等症状有关。黄龙冰(HLB)主要与革兰氏阴性菌libericandidatus spp.相关,其主要症状为枝条呈淡黄色,叶片变形小,带有淡黄色斑点。柑橘斑绿病(CVC)与苛养木杆菌(Xylella fastidiosa)有关,引起叶片上边缘不规则的绿斑和新叶变形。柑橘黑斑病(Citrus black spot, CBS)是一种由真菌Phyllosticta citricarpa引起的病害,在果实上产生病害,叶片呈红褐色。由于柑橘对全球农业具有重要意义,因此本文综述了这些重要病害的主要特征,包括它们的症状和传播,以及迄今为止研究的诊断和控制策略,以便在田间应用。
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引用次数: 0
Computational methods and points for attention in absolute configuration determination 确定绝对构型的计算方法及注意事项
Pub Date : 2023-01-12 DOI: 10.3389/fntpr.2022.1086897
Huajie Zhu, Yufang Wang, L. Nafie
With the rapid development of high performance computers and computational methods, including software, an increasing number of experimental chemists have tried to use computational methods such as optical rotation (OR, including the matrix model), optical rotatory dispersion (ORD), electronic circular dichroism (ECD or CD), vibrational circular dichroism (VCD), and magnetic shielding constants—nuclear magnetic resonance (NMR)—to explain and/or assign absolute configuration (AC) for various compounds. Such reports in the field of natural products have increased dramatically. However, every method has its range of application. This leads, in some cases, to incorrect conclusions by researchers who are not familiar with these methods. In this review, we provide experimental chemists and researchers with more computational details and suitable suggestions, and especially hope that this experience may help readers avoid computational pitfalls. Finally, we discuss the use of simplified models to replace original complex structures with a long side chain. The fundamental basis for using models to represent complex chiral compounds, such as in OR calculations, is the existence of conformation pairs with near canceling conformer contributions that justify the use of models rather than the original compounds. Using examples, we here introduce the transition state (TS) calculation, which may benefit readers in this area for use and mastery for their AC study. This review will summarize the general concepts involved in the study of AC determinations.
随着高性能计算机和包括软件在内的计算方法的快速发展,越来越多的实验化学家尝试使用光学旋转(OR,包括矩阵模型)、光学旋转色散(ORD)、电子圆二色性(ECD或CD)、振动圆二色性(VCD)、和磁屏蔽常数——核磁共振(NMR)——来解释和/或分配各种化合物的绝对构型(AC)。在天然产品领域,这样的报道急剧增加。然而,每种方法都有其适用范围。在某些情况下,这导致不熟悉这些方法的研究人员得出不正确的结论。在这篇综述中,我们为实验化学家和研究人员提供了更多的计算细节和合适的建议,特别希望这些经验可以帮助读者避免计算陷阱。最后,我们讨论了使用简化模型用长侧链代替原来的复杂结构。使用模型来表示复杂手性化合物的基本基础,例如在OR计算中,是存在具有几乎抵消的构象对的构象对,这证明使用模型而不是原始化合物是合理的。本文通过实例介绍了过渡态(TS)的计算方法,有助于本领域的读者在交流研究中使用和掌握。这篇综述将概述在AC测定研究中涉及的一般概念。
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引用次数: 4
期刊
Frontiers in Natural Products
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