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Unraveling the interaction between a glycolytic regulator protein EhPpdk and an anaphase promoting complex protein EhApc10: yeast two hybrid screening, in vitro binding assays and molecular simulation study 揭示糖酵解调节蛋白EhPpdk与无丝分裂期促进复合蛋白EhApc10之间的相互作用:酵母双杂交筛选、体外结合试验和分子模拟研究。
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-11-01 DOI: 10.1007/s10930-024-10238-5
Suchetana Pal, Pinaki Biswas, Raktim Ghosh, Somasri Dam

The anaphase promoting complex (APC or cyclosome) is a major ubiquitin ligase that coordinates mitotic and G1 progression, acting as a major regulator of chromosome segregation. While the human APC contains fourteen subunits, it is yet to be explored in the pathogen Entamoeba histolytica. Our study reveals the existence of a single functional Apc10 homolog in E. histolytica, which acts as a processivity factor of ubiquitin ligase activity in human. A cDNA library generated from HM1:IMSS strain of E. histolytica was screened for interaction partners of EhApc10 in yeast two hybrid study. The novel interactor, a glycolytic enzyme, pyruvate phosphate dikinase (Ppdk) was found to interact with EhApc10 and further validated by in vitro assay. A comprehensive in silico study has emphasized the structural and functional aspects, encompassing physicochemical traits, predictive 3D structure modelling, validation of EhApc10-EhPpdk interaction through molecular docking and simulation. The interplay between a cell cycle protein and a glycolytic enzyme highlights the connection between cellular metabolism and the cell cycle regulatory mechanism. The study serves as the groundwork for future research on the non-mitotic role of APC beyond cell cycle.

无丝分裂促进复合体(APC 或 cyclosome)是一种主要的泛素连接酶,可协调有丝分裂和 G1 进程,是染色体分离的主要调节器。人类 APC 含有 14 个亚基,但在病原体 Entamoeba histolytica 中还没有发现。我们的研究揭示了组织溶解实体中存在一个功能性 Apc10 同源物,它是人类泛素连接酶活性的一个过程性因子。在酵母双杂交研究中,从组织溶解酵母的 HM1:IMSS 菌株中产生的 cDNA 文库筛选出了 EhApc10 的相互作用伙伴。研究发现,新的相互作用因子(一种糖酵解酶,丙酮酸磷酸二激酶(Ppdk))与 EhApc10 有相互作用,并通过体外实验进一步验证了这种相互作用。一项全面的硅学研究强调了结构和功能方面,包括理化特性、预测性三维结构建模、通过分子对接和模拟验证 EhApc10-EhPpdk 的相互作用。细胞周期蛋白与糖酵解酶之间的相互作用凸显了细胞代谢与细胞周期调控机制之间的联系。这项研究为今后研究 APC 在细胞周期之外的非有丝分裂作用奠定了基础。
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引用次数: 0
Unravelling the Significance of Seed Proteomics: Insights into Seed Development, Function, and Agricultural Applications 揭示种子蛋白质组学的意义:种子发育、功能和农业应用的启示。
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-11-01 DOI: 10.1007/s10930-024-10240-x
Jameel R. Al-Obaidi, Su-Ee Lau, Yvonne Jing Mei Liew, Boon Chin Tan, Norasfaliza Rahmad

Seeds are essential for plant reproduction, ensuring species survival and dispersal while adapting to diverse environments throughout a plant’s life. Proteomics has emerged as a powerful tool for deciphering the complexities of seed growth, germination, and stress responses. Advanced proteomic technologies enable the analysis of protein changes during germination, dormancy, and ageing, enhancing our understanding of seed lifespan and vitality. Recent studies have revealed detailed insights into metabolic processes and storage protein profiles across various plant species. This knowledge is crucial for improving seed storage, conserving quality, and maintaining viability. Additionally, it contributes to sustainable agriculture by identifying stress-responsive proteins and signalling pathways that can mitigate stress and enhance farming practices. This review highlights significant advancements in seed proteomics over the past decade, discussing critical discoveries related to storage proteins, protein interactions, and proteome modifications due to stress. It illustrates how these insights transform seed biology, boosting productivity, food security, and environmentally friendly practices. The review also identifies existing knowledge gaps and provides direction for future research, underscoring the need for continued interdisciplinary collaboration in this dynamic field.

种子对植物的繁殖至关重要,它能确保物种的生存和传播,同时在植物的一生中适应不同的环境。蛋白质组学已成为解读种子生长、萌发和应激反应复杂性的有力工具。先进的蛋白质组学技术能够分析萌发、休眠和老化过程中蛋白质的变化,从而加深我们对种子寿命和生命力的了解。最近的研究揭示了对不同植物物种代谢过程和贮藏蛋白质特征的详细了解。这些知识对于改善种子贮藏、保护质量和保持活力至关重要。此外,这些知识还有助于可持续农业的发展,因为它们确定了可缓解压力和改进耕作方法的压力响应蛋白和信号通路。本综述重点介绍了过去十年中种子蛋白质组学的重大进展,讨论了与贮藏蛋白、蛋白质相互作用以及应激引起的蛋白质组修饰有关的重要发现。它说明了这些见解如何改变种子生物学,提高生产力、粮食安全和环保实践。综述还指出了现有的知识差距,为未来研究指明了方向,强调了在这一充满活力的领域继续开展跨学科合作的必要性。
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引用次数: 0
Influence of Cataract Causing Mutations on αA-Crystallin: A Computational Approach 导致白内障的突变对αA-结晶素的影响:计算方法
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-11-01 DOI: 10.1007/s10930-024-10239-4
Kajal Abrol, Jayarani Basumatari, Jupita Handique, Muthukumaran Rajagopalan, Amutha Ramaswamy

The αA-crystallin protein plays a vital role in maintaining the refractive index and transparency of the eye lens. Significant clinical studies have emerged as the αA-crystallin is prone to aggregation, resulting in the formation of cataracts with varied etiologies due to mutations. This work aims to comprehend the structural and functional role of cataract-causing mutations in αA-crystallin, particularly at N-Terminal and α-Crystallin Domains, using in-silico approaches including molecular dynamics simulation. About 19 mutants of αA-crystallin along with native structure were simulated for 100 ns and the post-simulations analyses reveal pronounced dynamics of αA-crystallin due to the enhanced structure flexibility as its native compactness was lost and is witnessed mainly by the mutants R12L, R21L, R21Q, R54L, R65Q, R116C and R116H. It is observed that αA-crystallin discloses the NTD motions as the dominant one and the same was endorsed by the linear variation between Rg and the center-of-mass of αA-crystallin. Interestingly, such enhanced dynamics of αA-crystallin mutants associated with the structure flexibility is internally modulated by the dynamic exchange of secondary structure elements β-sheets and coils (R2 = 0.619) during simulation. Besides, the observed pronounced dynamics of dimer interface region (β3-L6-β4 segment) of ACD along with CTD dynamics also gains importance. Particularly, the highly dynamic mutants are also characterized by enhanced non-covalent and hydrophobic interactions which renders detrimental effects towards its stability, and favours possible protein unfolding mechanisms. Overall, this study highlights the mutation-mediated structural distortions in αA-crystallin and demands the need for further potential development of inhibitors against cataract formation.

αA-晶体蛋白在维持眼睛晶状体的折射率和透明度方面发挥着重要作用。由于αA-晶体蛋白容易发生聚集,从而导致不同病因的突变形成白内障,因此出现了重要的临床研究。这项研究旨在利用分子动力学模拟等室内方法,理解导致白内障的αA-结晶素突变的结构和功能作用,特别是在N端和α-结晶素域。我们对αA-结晶素的大约 19 个突变体和原生结构进行了 100 ns 的模拟,模拟后的分析表明,由于αA-结晶素失去了原生结构的紧密性,结构灵活性增强,因此αA-结晶素具有明显的动态变化,这主要体现在突变体 R12L、R21L、R21Q、R54L、R65Q、R116C 和 R116H 上。据观察,αA-结晶素以 NTD 运动为主,Rg 与αA-结晶素质量中心之间的线性变化也证明了这一点。有趣的是,αA-结晶素突变体与结构灵活性相关的动态增强在模拟过程中受到二级结构元素β片和线圈动态交换(R2 = 0.619)的内部调节。此外,观察到的 ACD 的二聚体界面区(β3-L6-β4 段)的明显动态以及 CTD 动态也变得非常重要。特别是,高动态突变体还具有非共价和疏水相互作用增强的特点,这对其稳定性产生了不利影响,并有利于可能的蛋白质折叠机制。总之,这项研究强调了突变介导的αA-结晶蛋白结构畸变,并要求进一步开发潜在的白内障形成抑制剂。
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引用次数: 0
HaloClass: Salt-Tolerant Protein Classification with Protein Language Models HaloClass:利用蛋白质语言模型进行耐盐蛋白质分类
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-10-21 DOI: 10.1007/s10930-024-10236-7
Kush Narang, Abhigyan Nath, William Hemstrom, Simon K. S. Chu

Salt-tolerant proteins, also known as halophilic proteins, have unique adaptations to function in high-salinity environments. These proteins have naturally evolved in extremophilic organisms, and more recently, are being increasingly applied as enzymes in industrial processes. Due to an abundance of salt-tolerant sequences and a simultaneous lack of experimental structures, most computational methods to predict stability are sequence-based only. These approaches, however, are hindered by a lack of structural understanding of these proteins. Here, we present HaloClass, an SVM classifier that leverages ESM-2 protein language model embeddings to accurately identify salt-tolerant proteins. On a newer and larger test dataset, HaloClass outperforms existing approaches when predicting the stability of never-before-seen proteins that are distal to its training set. Finally, on a mutation study that evaluated changes in salt tolerance based on single- and multiple-point mutants, HaloClass outperforms existing approaches, suggesting applications in the guided design of salt-tolerant enzymes.

耐盐蛋白质又称嗜卤蛋白质,具有在高盐度环境中发挥作用的独特适应性。这些蛋白质是在嗜极端生物中自然进化而来的,近来正越来越多地被用作工业流程中的酶。由于存在大量耐盐序列,同时又缺乏实验结构,因此大多数预测稳定性的计算方法都是基于序列的。然而,这些方法因缺乏对这些蛋白质结构的了解而受到阻碍。在这里,我们介绍一种 SVM 分类器 HaloClass,它利用 ESM-2 蛋白语言模型嵌入来准确识别耐盐蛋白质。在一个更新、更大的测试数据集上,HaloClass 在预测与其训练集相距甚远的从未见过的蛋白质的稳定性时,表现优于现有方法。最后,在一项评估基于单点和多点突变体的耐盐性变化的突变研究中,HaloClass 的表现优于现有方法,这表明它可应用于耐盐酶的指导设计。
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引用次数: 0
Exosomes with Engineered Brain Derived Neurotrophic Factor on Their Surfaces Can Proliferate Menstrual Blood Derived Mesenchymal Stem Cells: Targeted Delivery for a Protein Drug 表面含有脑源性神经营养因子的外泌体能使月经血衍生间充质干细胞增殖:蛋白质药物的靶向递送。
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-10-13 DOI: 10.1007/s10930-024-10234-9
Fatemeh Siamian Gorji, Seyedeh Farzaneh Mahdavian, Shabanali Khodashenas, Zeinab Rezaee Kiasari, Reza Valadan, Saeed Khalili, Mohammad Reza Mahdavi

Despite the efficacy of brain derived neurotrophic factor (BDNF) in neuro-regenerative medicine, it can’t pass the blood–brain barrier. Recently, exosomes have been harnessed for targeted delivery of therapeutics into brain. Given these facts, an engineered exosome capable of BDNF expression on the surface would be an amenable tool for drug delivery. The BDNF gene was cloned into a plex-lamp lentiviral vector and virus particles were packaged using the Torano method. HEK293T cells were transduced by the purified viruses to produce and purify recombinant exosomes displaying the fusion protein on their surfaces. Western blot, Zeta sizer, TEM, and ELISA methods were used for exosome characterization. The effect of engineered exosomes on menstrual blood-derived mesenchymal stem cells (Mens-MSCs) proliferation was evaluated by cell counting assay, MTT assay, and qPCR on the bcl2 and nestin genes. Approximately, 1.8 × 108 TdU/ml of the viral particles was purified from the transfected cells and transduced into the HEK293T. Western blot and ELISA methods confirmed the surface display of the LAMP-BDNF fusion. TEM graphs and Zeta sizer results confirmed the morphology and the size of purified exosomes. Treatment of Mens-MSCs with the targeted exosomes augmented the expression level of bcl2 and nestin genes, increased the cell proliferation, and elevated the cell number. Chimeric BDNF on the exosome surface could retain its biological activity and elevate the expression of bcl2 and nestin genes. Moreover, these exosomes are capable of elevating the Mens-MSCs proliferation.

尽管脑源性神经营养因子(BDNF)在神经再生医学中很有效,但它无法通过血脑屏障。最近,外泌体被用于向大脑定向输送治疗药物。鉴于这些事实,一种能在表面表达 BDNF 的工程外泌体将成为一种合适的给药工具。我们将 BDNF 基因克隆到慢病毒载体中,并采用托拉诺方法包装病毒颗粒。用纯化的病毒转导 HEK293T 细胞,产生并纯化表面显示融合蛋白的重组外泌体。外泌体的表征采用了 Western 印迹、Zeta 测定仪、TEM 和 ELISA 方法。通过细胞计数法、MTT 法和 bcl2 和 nestin 基因的 qPCR 法,评估了工程外泌体对月经血间充质干细胞(Mens-MSCs)增殖的影响。从转染细胞中纯化出约 1.8 × 108 TdU/ml 的病毒颗粒,并将其转染到 HEK293T 中。Western 印迹和 ELISA 方法证实了 LAMP-BDNF 融合体的表面显示。TEM图和Zeta测定仪结果证实了纯化外泌体的形态和大小。用靶向外泌体处理孟氏间充质干细胞可提高 bcl2 和 nestin 基因的表达水平,增加细胞增殖并提高细胞数量。外泌体表面的嵌合 BDNF 可保持其生物活性并提高 bcl2 和 nestin 基因的表达。此外,这些外泌体还能促进孟氏间充质干细胞的增殖。
{"title":"Exosomes with Engineered Brain Derived Neurotrophic Factor on Their Surfaces Can Proliferate Menstrual Blood Derived Mesenchymal Stem Cells: Targeted Delivery for a Protein Drug","authors":"Fatemeh Siamian Gorji,&nbsp;Seyedeh Farzaneh Mahdavian,&nbsp;Shabanali Khodashenas,&nbsp;Zeinab Rezaee Kiasari,&nbsp;Reza Valadan,&nbsp;Saeed Khalili,&nbsp;Mohammad Reza Mahdavi","doi":"10.1007/s10930-024-10234-9","DOIUrl":"10.1007/s10930-024-10234-9","url":null,"abstract":"<div><p>Despite the efficacy of brain derived neurotrophic factor (BDNF) in neuro-regenerative medicine, it can’t pass the blood–brain barrier. Recently, exosomes have been harnessed for targeted delivery of therapeutics into brain. Given these facts, an engineered exosome capable of BDNF expression on the surface would be an amenable tool for drug delivery. The BDNF gene was cloned into a plex-lamp lentiviral vector and virus particles were packaged using the Torano method. HEK293T cells were transduced by the purified viruses to produce and purify recombinant exosomes displaying the fusion protein on their surfaces. Western blot, Zeta sizer, TEM, and ELISA methods were used for exosome characterization. The effect of engineered exosomes on menstrual blood-derived mesenchymal stem cells (Mens-MSCs) proliferation was evaluated by cell counting assay, MTT assay, and qPCR on the <i>bcl2</i> and <i>nestin</i> genes. Approximately, 1.8 × 10<sup>8</sup> TdU/ml of the viral particles was purified from the transfected cells and transduced into the HEK293T. Western blot and ELISA methods confirmed the surface display of the LAMP-BDNF fusion. TEM graphs and Zeta sizer results confirmed the morphology and the size of purified exosomes. Treatment of Mens-MSCs with the targeted exosomes augmented the expression level of <i>bcl2</i> and <i>nestin</i> genes, increased the cell proliferation, and elevated the cell number. Chimeric BDNF on the exosome surface could retain its biological activity and elevate the expression of <i>bcl2</i> and <i>nestin</i> genes. Moreover, these exosomes are capable of elevating the Mens-MSCs proliferation.</p></div>","PeriodicalId":793,"journal":{"name":"The Protein Journal","volume":"43 6","pages":"1070 - 1082"},"PeriodicalIF":1.9,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sulfonylhydrazide Derivatives as Potential Anti-cancer Agents: Synthesis, In Vitro and In Silico Studies 作为潜在抗癌剂的磺酰肼衍生物:合成、体外和硅学研究。
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-21 DOI: 10.1007/s10930-024-10232-x
Kholoud M. Ibrahim, Doaa M. Elsisi, Yousry A. Ammar, Fivian F. M. Araki, Jehane A. A. Micky

The synthesis of new agents for cancer treatment persists due to its global lethality. A series of thirteen derivatives, namely salicylic acid-5-sulfohydrazide (SA-SH) analogs, were designed and synthesized from 5-(chlorosulfonyl)-2-hydroxybenzoic acid via nucleophilic substitution reaction with different acid hydrazides, thiocarbohydrazide & thiosemicarbazide scaffolds. Confirmation of the designed derivative’s structures employed various spectroscopic techniques (FT-IR and NMR) and elemental analysis. The newly synthesized synthons were evaluated for cytotoxic activity against HepG-2 and HCT-116 cell lines in comparison to Doxorubicin. Notably, SA-SH derivatives (5, 7, 8a, 8b and 11) exhibited significantly higher efficacy against HepG-2 and HCT-116 cell lines than other analogs. Furthermore, compound (8a) demonstrated a superior activity against HepG-2 cell lines with IC50 values of 3.99 ± 0.2 μM than the reference drug, Doxorubicin, (IC50 HepG-2 = 4.50 ± 0.2 µM). The molecular docking simulation of the most active SA-SH derivatives and the reference drug doxorubicin into the active site of FGFR4 (fibroblast growth factor receptor, the predominant isoform expressed in human hepatocytes) (PDB ID: 6V9C) proved the usefulness of hybridizing salicylic scaffold with SO2 and hydrazide moieties as a promising approach in designing new anticancer agents. Finally, ADME and drug-likeness features of the most active compounds compared to positive controls were investigated to increase the success possibilities in clinical trials and they were found to be promising candidates for further investigation and development as drugs.

Graphical Abstract

由于癌症具有全面的致命性,因此合成治疗癌症的新药物一直是个难题。本研究以 5-(氯磺酰基)-2-羟基苯甲酸为原料,通过与不同的酸酰肼、硫代酰肼和硫代氨基甲酰肼支架进行亲核取代反应,设计并合成了一系列 13 种衍生物,即水杨酸-5-磺酰肼(SA-SH)类似物。利用各种光谱技术(傅立叶变换红外光谱和核磁共振)和元素分析确认了所设计衍生物的结构。评估了新合成的合成物与多柔比星相比对 HepG-2 和 HCT-116 细胞系的细胞毒活性。值得注意的是,SA-SH 衍生物(5、7、8a、8b 和 11)对 HepG-2 和 HCT-116 细胞株的疗效明显高于其他类似物。此外,化合物(8a)对 HepG-2 细胞株具有更强的活性,其 IC50 值为 3.99 ± 0.2 μM,高于参考药物多柔比星(IC50 HepG-2 = 4.50 ± 0.2 µM)。最有活性的 SA-SH 衍生物和参考药物多柔比星与 FGFR4(成纤维细胞生长因子受体,人肝细胞中表达的主要异构体)(PDB ID:6V9C)活性位点的分子对接模拟证明,水杨酸支架与 SO2 和酰肼分子杂交是设计新型抗癌药物的一种有效方法。最后,为了提高临床试验的成功率,研究人员对最有活性的化合物与阳性对照物相比的 ADME 和药物相似性特征进行了调查,结果发现这些化合物有望成为进一步研究和开发药物的候选化合物。
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引用次数: 0
Characterization of Cationic Amino Acid Binding Protein from Candidatus Liberibacter Asiaticus and in Silico Study to Identify Potential Inhibitor Molecules 亚洲自由杆菌阳离子氨基酸结合蛋白的特征及确定潜在抑制分子的硅学研究
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-21 DOI: 10.1007/s10930-024-10233-w
Sapna Lonare, Deena Nath Gupta, Harry Kaur, Surabhi Rode, Shalja Verma, Mrugendra Gubyad, Dilip Kumar Ghosh, Pravindra Kumar, Ashwani Kumar Sharma

Cationic amino acid binding protein (CLasArgBP), one of the two amino acid binding receptor in Candidatus Liberibacter asiaticus (CLas), is predominately expressed in citrus psyllids as a part of ATP-binding cassette transport system. The present study describes characterization of CLasArgBP by various biophysical techniques and in silico study, to identify potential inhibitor molecules against CLasArgBP through virtual screening and MD simulations. Further, in planta study was carried out to assess the effect of selected inhibitors on Huanglongbing infected Mosambi plants. The results showed that CLasArgBP exhibits pronounced specificity for arginine, histidine and lysine. Surface plasmon resonance (SPR) study reports highest binding affinity for arginine (Kd, 0.14 µM), compared to histidine and lysine (Kd, 15 µΜ and 26 µΜ, respectively). Likewise, Differential Scanning Calorimetry (DSC) study showed higher stability of CLasArgBP for arginine, compared to histidine and lysine. N(omega)-nitro-L-arginine, Gamma-hydroxy-L-arginine and Gigartinine emerged as lead compounds through in silico study displaying higher binding energy and stability compared to arginine. SPR reports elevated binding affinities for N(omega)-nitro-L-arginine and Gamma-hydroxy-L-arginine (Kd, 0.038 µΜ and 0.061 µΜ, respectively) relative to arginine. DSC studies showed enhanced thermal stability for CLasArgBP in complex with selected inhibitors. Circular dichroism and fluorescence studies showed pronounced conformational changes in CLasArgBP with selected inhibitors than with arginine. In planta study demonstrated a substantial decrease in CLas titer in treated plants as compared to control plants. Overall, the study provides the first comprehensive characterization of cationic amino acid binding protein from CLas, as a potential drug target to manage HLB disease.

阳离子氨基酸结合蛋白(CLasArgBP)是白色念珠菌(CLas)中两种氨基酸结合受体之一,主要在柑橘类果蝇中表达,是 ATP 结合盒转运系统的一部分。本研究介绍了利用各种生物物理技术对 CLasArgBP 进行的表征,以及通过虚拟筛选和 MD 模拟确定潜在的 CLasArgBP 抑制剂分子的硅学研究。此外,还进行了植物体内研究,以评估所选抑制剂对受黄龙病感染的莫桑比植物的影响。结果表明,CLasArgBP 对精氨酸、组氨酸和赖氨酸具有明显的特异性。表面等离子体共振(SPR)研究表明,与组氨酸和赖氨酸(Kd 分别为 15 µΜ 和 26 µΜ)相比,精氨酸的结合亲和力最高(Kd 为 0.14 µM)。同样,差示扫描量热法(DSC)研究表明,与组氨酸和赖氨酸相比,CLasArgBP 对精氨酸的稳定性更高。通过硅学研究,N(ω)-硝基-L-精氨酸、γ-羟基-L-精氨酸和巨氨酸成为先导化合物,与精氨酸相比,它们具有更高的结合能和稳定性。SPR 报告显示,相对于精氨酸,N(Ω)-硝基-L-精氨酸和γ-羟基-L-精氨酸的结合亲和力更高(Kd 分别为 0.038 µΜ 和 0.061 µΜ)。DSC 研究表明,CLasArgBP 与所选抑制剂复合物的热稳定性增强。环二色性和荧光研究表明,与精氨酸相比,CLasArgBP 与选定的抑制剂发生了明显的构象变化。植物体内研究表明,与对照植物相比,处理植物体内的 CLas 滴度大幅下降。总之,该研究首次全面描述了来自 CLas 的阳离子氨基酸结合蛋白的特性,并将其作为控制 HLB 疾病的潜在药物靶标。
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引用次数: 0
Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods 利用机器学习方法,基于功能和结构特征预测蛋白质在大肠杆菌中的溶解度
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-07 DOI: 10.1007/s10930-024-10230-z
Feiming Huang, Qian Gao, XianChao Zhou, Wei Guo, KaiYan Feng, Lin Zhu, Tao Huang, Yu-Dong Cai

Protein solubility is a critical parameter that determines the stability, activity, and functionality of proteins, with broad and far-reaching implications in biotechnology and biochemistry. Accurate prediction and control of protein solubility are essential for successful protein expression and purification in research and industrial settings. This study gathered information on soluble and insoluble proteins. In characterizing the proteins, they were mapped to STRING and characterized by functional and structural features. All functional/structural features were integrated to create a 5768-dimensional binary vector to encode proteins. Seven feature-ranking algorithms were employed to analyze the functional/structural features, yielding seven feature lists. These lists were subjected to the incremental feature selection, incorporating four classification algorithms, one by one to build effective classification models and identify functional/structural features with classification-related importance. Some essential functional/structural features used to differentiate between soluble and insoluble proteins were identified, including GO:0009987 (intercellular communication) and GO:0022613 (ribonucleoprotein complex biogenesis). The best classification model using support vector machine as the classification algorithm and 295 optimized functional/structural features generated the F1 score of 0.825, which can be a powerful tool to differentiate soluble proteins from insoluble proteins.

蛋白质溶解度是决定蛋白质稳定性、活性和功能的关键参数,对生物技术和生物化学具有广泛而深远的影响。准确预测和控制蛋白质的溶解度对于在研究和工业环境中成功表达和纯化蛋白质至关重要。本研究收集了有关可溶性和不可溶性蛋白质的信息。在表征蛋白质时,它们被映射到 STRING 中,并根据功能和结构特征进行表征。整合所有功能/结构特征后,创建了一个 5768 维的二进制向量来编码蛋白质。在分析功能/结构特征时,采用了七种特征排序算法,得出了七个特征列表。这些列表经过增量特征选择,结合四种分类算法,逐一建立有效的分类模型,并识别出与分类相关的重要功能/结构特征。结果发现了一些用于区分可溶性和非可溶性蛋白质的基本功能/结构特征,包括 GO:0009987(细胞间通讯)和 GO:0022613(核糖核蛋白复合物生物生成)。使用支持向量机作为分类算法和 295 个优化的功能/结构特征的最佳分类模型产生了 0.825 的 F1 分数,这可以作为区分可溶性蛋白质和不溶性蛋白质的有力工具。
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引用次数: 0
Exploring Acyl Thiotriazinoindole Based Pharmacophores: Design, Synthesis, and SAR Studies with Molecular Docking and Biological Activity Profiling against Urease, α-amylase, α-glucosidase, Antimicrobial, and Antioxidant Targets 探索酰基硫代三嗪吲哚类药物:针对脲酶、α-淀粉酶、α-葡萄糖苷酶、抗菌剂和抗氧化剂靶点的设计、合成和 SAR 研究,以及分子对接和生物活性分析。
IF 1.9 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-02 DOI: 10.1007/s10930-024-10229-6
Mian Bilal Haider, Aamer Saeed, Atteeque Ahmed, Muhammad Azeem, Hammad Ismail, Sabba Mehmood, Parham Taslimi, Syed Adnan Ali Shah, Madiha Irfan, Hesham R. El-Seedi
<div><p>A diminutive chemical library of acyl thiotriazinoindole (ATTI) based bioactive scaffolds was synthesized, instigated by taking the economical starting material Isatin, through a series of five steps. Isatin was first nitrated followed by the attachment of pentyl moiety via nucleophilic substitution reaction. The obtained compound was reacted with thiosemicarbazide to obtain thiosemicarbazone derivative, which was eventually cyclized using basic conditions in water as solvent. Finally, the reported series was obtained through reaction of nitrated thiotriazinoindole moiety with differently substituted phenacyl bromides. The synthesized compounds were characterized using NMR spectroscopy and elemental analysis. Finally, the synthesized motifs were scrutinized for their potential to impede urease, <i>α</i>-glucosidase, DPPH, and <i>α</i>-amylase. Compound <b>5 h</b> with <i>para</i> cyano group manifested the most pivotal biological activity among all, displaying IC<sub>50</sub> values of 29.7 ± 0.8, 20.5 ± 0.5 and 36.8 ± 3.9 µM against urease, <i>α</i>-glucosidase, and DPPH assay, respectively. Simultaneously, for <i>α-</i>amylase compound <b>5 g</b> possessing a <i>p</i>-CH<sub>3</sub> at phenyl ring unfolded as most active, with calculated IC<sub>50</sub> values 90.3 ± 1.1 µM. The scaffolds were additionally gauged for their antifungal and antibacterial activity. Among the tested strains, <b>5d</b> having bromo as substituent exhibited the most potent antibacterial activity, while it also demonstrated the highest potency against <i>Aspergillus fumigatus</i>. Other derivatives <b>5b</b>, <b>5e, 5i,</b> and <b>5j</b> also exhibited dual inhibition against both antibacterial and antifungal strains. The interaction pattern of derivatives clearly displayed their SAR, and their docking scores were correlated with their IC<sub>50</sub> values. In molecular docking studies, the importance of interactions like hydrogen bonding was further asserted. The electronic factors of various substituents engendered variety of interactions between the ligands and targets implying their importance in the structures of the synthesized heterocyclic scaffolds. To conclude, the synthesized compounds had satisfactory biological activity against various important targets. Further studies are therefore encouraged by attachment of different substitutions in the structure at various positions to enhance the activity of these compounds.</p><h3>Graphical Abstract</h3><p>Exploring Acyl Thiotriazinoindole based Pharmacophores: Design, Synthesis, and SAR studies with Molecular Docking and Biological Activity Profiling against Urease, <i>α</i>-amylase, <i>α</i>-glucosidase, Antimicrobial, and Antioxidant Targets</p><p>An updated synthetic pathway to furnish acyl thiotriazinoindole based scaffolds was developed starting from Isatin and the novel compounds were assessed for various biological applications.</p><div><figure><div><div><picture><source><img></source></picture></
通过一系列五个步骤,以经济的起始材料伊沙替丁(Isatin)为原料,合成了一个基于酰基硫代三嗪吲哚(ATTI)的生物活性支架的小型化学库。首先对伊沙替丁进行硝化,然后通过亲核取代反应连接戊基。得到的化合物与硫代氨基脲反应得到硫代氨基脲衍生物,最后在水作为溶剂的碱性条件下进行环化反应。最后,通过硝化的噻三嗪吲哚分子与不同取代的苯酰溴反应,得到了所报告的系列化合物。利用核磁共振光谱和元素分析对合成的化合物进行了表征。最后,仔细研究了合成图案对脲酶、α-葡萄糖苷酶、DPPH 和 α-淀粉酶的潜在阻碍作用。对脲酶、α-葡萄糖苷酶和 DPPH 的 IC50 值分别为 29.7 ± 0.8、20.5 ± 0.5 和 36.8 ± 3.9 µM。同时,对于α-淀粉酶,在苯环上具有对-CH3的化合物 5 g 的活性最高,计算得出的 IC50 值为 90.3 ± 1.1 µM。此外,还测定了这些支架的抗真菌和抗细菌活性。在测试的菌株中,以溴为取代基的 5d 表现出了最强的抗菌活性,同时它对烟曲霉的效力也最高。其他衍生物 5b、5e、5i 和 5j 也表现出对抗菌和抗真菌菌株的双重抑制作用。这些衍生物的相互作用模式清楚地表明了它们的 SAR 特性,它们的对接得分与其 IC50 值相关。分子对接研究进一步证实了氢键等相互作用的重要性。各种取代基的电子因子在配体和目标物之间产生了各种相互作用,这意味着它们在合成的杂环支架结构中的重要性。总之,合成的化合物对各种重要靶标具有令人满意的生物活性。因此,我们鼓励通过在结构的不同位置添加不同的取代基来提高这些化合物的活性,从而开展进一步的研究。
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引用次数: 0
Neuropsychological test using machine learning for cognitive impairment screening. 使用机器学习进行认知障碍筛查的神经心理测试。
IF 1.4 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-01 Epub Date: 2022-06-02 DOI: 10.1080/23279095.2022.2078210
Chanda Simfukwe, SangYun Kim, Seong Soo An, Young Chul Youn

Objectives: Neuropsychological tests (NPTs) are widely used tools to evaluate cognitive functioning. The interpretation of these tests can be time-consuming and requires a specialized clinician. For this reason, we trained machine learning models that detect normal controls (NC), cognitive impairment (CI), and dementia among subjects.

Patients and methods: A total number of 14,927 subject datasets were collected from the formal neuropsychological assessments Seoul Neuropsychological Screening Battery (SNSB) by well-qualified neuropsychologists. The dataset included 44 NPTs of SNSB, age, education level, and diagnosis of each participant. The dataset was preprocessed and classified according to three different classes NC, CI, and dementia. We trained machine-learning with a supervised machine learning classifier algorithm support vector machine (SVM) 30 times with classification from scikit-learn (https://scikit-learn.org/stable/) to distinguish the prediction accuracy, sensitivity, and specificity of the models; NC vs. CI, NC vs. dementia, and NC vs. CI vs. dementia. Confusion matrixes were plotted using the testing dataset for each model.

Results: The trained model's 30 times mean accuracies for predicting cognitive states were as follows; NC vs. CI model was 88.61 ± 1.44%, NC vs. dementia model was 97.74 ± 5.78%, and NC vs. CI vs. dementia model was 83.85 ± 4.33%. NC vs. dementia showed the highest accuracy, sensitivity, and specificity of 97.74 ± 5.78, 97.99 ± 5.78, and 96.08 ± 4.33% in predicting dementia among subjects, respectively.

Conclusion: Based on the results, the SVM algorithm is more appropriate in training models on an imbalanced dataset for a good prediction accuracy compared to natural network and logistic regression algorithms. The NC vs. dementia machine-learning trained model with SVM based on NPTs SNSB dataset could assist neuropsychologists in classifying the cognitive function of subjects.

目的神经心理测试(npt)是广泛应用于认知功能评估的工具。这些测试的解释可能是耗时的,需要一个专业的临床医生。出于这个原因,我们训练了机器学习模型来检测受试者中的正常对照(NC)、认知障碍(CI)和痴呆。患者和方法由专业的神经心理学家从正式的神经心理学评估首尔神经心理学筛查组(SNSB)中收集了14927个受试者数据集。数据集包括44个SNSB的NPTs,每个参与者的年龄、教育程度和诊断。对数据集进行预处理,并根据NC、CI和痴呆三种不同的类别进行分类。通过scikit-learn (https://scikit-learn.org/stable/)的分类,我们使用有监督的机器学习分类器算法支持向量机(SVM)对机器学习进行了30次训练,以区分模型的预测准确性、灵敏度和特异性;NC与CI, NC与痴呆,NC与CI与痴呆。使用每个模型的测试数据集绘制混淆矩阵。结果训练后的模型预测认知状态的30倍平均准确率为:NC与CI模型比较为88.61±1.44%,NC与痴呆模型比较为97.74±5.78%,NC与CI与痴呆模型比较为83.85±4.33%。NC与痴呆预测的准确率、灵敏度和特异性最高,分别为97.74±5.78、97.99±5.78和96.08±4.33%。结论与自然网络和逻辑回归算法相比,SVM算法更适合在不平衡数据集上训练模型,具有较好的预测精度。基于NPTs SNSB数据集的SVM机器学习训练模型可以帮助神经心理学家对被试的认知功能进行分类。
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引用次数: 0
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