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Correction: Chiral hydroxymethyl-1H,3H-pyrrolo[1,2-c]thiazoles: the search for selective p53-activating agents for colorectal cancer therapy
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2025-02-03 DOI: 10.1039/D5MD90004B
Mees M. Hendrikx, Adelino M. Pereira, Ana B. Pereira, Carla S. C. Carvalho, João L. P. Ribeiro, Maria I. L. Soares, Lucília Saraiva and Teresa M. V. D. Pinho e Melo

Correction for ‘Chiral hydroxymethyl-1H,3H-pyrrolo[1,2-c]thiazoles: the search for selective p53-activating agents for colorectal cancer therapy’ by Mees M. Hendrikx et al., RSC Med. Chem., 2024, 15, 1652–1663, https://doi.org/10.1039/D4MD00076E.

[此处更正了文章 DOI:10.1039/D4MD00076E]。
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引用次数: 0
2-(4-Bromobenzyl) tethered 4-amino aryl/alkyl-5,6,7,8-tetrahydrobenzo[4,5]thieno[2,3-d]pyrimidines: design, synthesis, anticancer assessment via dual topoisomerase-I/II inhibition, and in silico studies† 2-(4-溴苄基)系链4-氨基芳基/烷基-5,6,7,8-四氢苯并[4,5]噻吩[2,3-d]嘧啶:设计、合成、通过双拓扑异构酶i /II抑制的抗癌评价和硅研究。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-12-17 DOI: 10.1039/D4MD00817K
Sahil Arora, Bhagyshree Patra, Isha Dhamija, Santosh Kumar Guru and Raj Kumar

A series of 2-(4-bromobenzyl) tethered 4-amino aryl/alkyl-5,6,7,8-tetrahydrobenzo[4,5]thieno[2,3-d]pyrimidines (7a–7u) were designed, synthesized, characterized and screened against a panel of cancer cell lines. Compound 7a, in particular, emerged as a potent antiproliferative agent against FaDu cells (HTB-43) with an IC50 value of 1.73 μM. 7a induced morphological alterations in FaDu cells were observed via brightfield microscopy and DAPI staining, confirming cytotoxicity. Autophagy and apoptotic effects of 7a were confirmed by acridine orange staining, Rhodamine 123 staining, and western blot analysis, which revealed dose-dependent increases in LC3A/B and cleaved caspase-3 levels, respectively. Further, 7a impaired cell migration and colony formation, as demonstrated by scratch and clonogenic assays. Additionally, 7a reduced oxidative stress and induced G2/M phase cell cycle arrest in MCF-7 cells. 7a emerged as a dual topoisomerase I and II inhibitor, and results were supported by molecular docking and simulation studies. In anti-inflammatory studies, 7a exhibited selective inhibition of COX-2 over COX-1, supporting its dual anticancer and anti-inflammatory properties.

设计、合成了一系列2-(4-溴苄基)系链4-氨基芳基/烷基-5,6,7,8-四氢苯并[4,5]噻吩[2,3-d]嘧啶(7a-7u),并对其进行了表征和抗癌筛选。其中化合物7a对FaDu细胞(HTB-43)具有较强的抗增殖活性,IC50值为1.73 μM。通过明场显微镜和DAPI染色观察7a诱导的FaDu细胞形态学改变,证实细胞毒性。通过吖啶橙染色、罗丹明123染色和western blot分析证实7a的自噬和凋亡作用,结果显示LC3A/B和cleaved caspase-3水平分别呈剂量依赖性升高。此外,7a损伤细胞迁移和集落形成,正如划痕和克隆实验所证明的那样。此外,7a还能降低MCF-7细胞的氧化应激,诱导G2/M期细胞周期阻滞。7a作为拓扑异构酶I和拓扑异构酶II的双重抑制剂出现,这一结果得到了分子对接和模拟研究的支持。在抗炎研究中,7a表现出选择性抑制COX-2而不是COX-1,支持其抗癌和抗炎的双重特性。
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引用次数: 0
Recent advancements in the therapeutic approaches for Alzheimer's disease treatment: current and future perspective† 阿尔茨海默病治疗方法的最新进展:当前和未来的展望。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-12-06 DOI: 10.1039/D4MD00630E
Amit Sharma, Santosh Rudrawar, Sandip B. Bharate and Hemant R. Jadhav

Alzheimer's disease (AD) is a complex, incurable neurological condition characterized by cognitive decline, cholinergic neuron reduction, and neuronal loss. Its exact pathology remains uncertain, but multiple treatment hypotheses have emerged. The current treatments, single or combined, alleviate only symptoms and struggle to manage AD due to its multifaceted pathology. The developmental drugs target pivotal disease factors involved in the envisaged hypotheses and include targets such as amyloid aggregation, hyperphosphorylated tau proteins, and receptors like cholinergic, adrenergic, etc. Present-day research focuses on multi-target directed ligands (MTDLs), which inhibit multiple factors simultaneously, helping slow the disease's progression. This review attempts to collate the recent information related to proposed hypotheses for AD etiology. It systematically organizes the advances in various therapeutic options for AD, with a particular emphasis on clinical candidates. Also, it is expected to help medicinal chemists design novel AD treatments based on available information, which could be helpful to AD patients.

阿尔茨海默病(AD)是一种复杂的、无法治愈的神经系统疾病,其特征是认知能力下降、胆碱能神经元减少和神经元丧失。其确切的病理仍不确定,但多种治疗假设已经出现。目前的治疗方法,无论是单一的还是联合的,都只能缓解症状,并且由于其多方面的病理,很难控制AD。发育药物针对的是所设想的假说中涉及的关键疾病因素,包括淀粉样蛋白聚集、过度磷酸化的tau蛋白和胆碱能、肾上腺素能等受体。目前的研究重点是多靶点定向配体(mtdl),它同时抑制多种因素,有助于减缓疾病的进展。本综述试图整理与阿尔茨海默病病原学假说相关的最新信息。它系统地组织了各种阿尔茨海默病治疗方案的进展,特别强调临床候选药物。此外,它有望帮助药物化学家根据现有信息设计新的AD治疗方法,这可能对AD患者有帮助。
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引用次数: 0
Novel rhodanine–thiazole hybrids as potential antidiabetic agents: a structure-based drug design approach† 新型罗丹宁-噻唑复合物作为潜在的抗糖尿病药物:基于结构的药物设计方法。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-21 DOI: 10.1039/D4MD00689E
Shankar Gharge, Shankar G. Alegaon, Shriram D. Ranade, Rohini S. Kavalapure and B. R. Prashantha Kumar

New rhodanine–thiazole clubbed compounds (7a–7l) were synthesised and characterised with various spectroscopy methods. The synthesised hybrids underwent in vitro HPA, HLAG inhibition, and peroxisome proliferator-activated receptor-gamma (PPAR-γ) expression assays. Through the biological study, compound 7f showed promising inhibitory activity against HPA with an IC50 value of 27.13 ± 1.02 μM and 7l exhibited better inhibition against HLAG with an IC50 value of 24.21 ± 1.12 μM. In addition, Lineweaver–Burk plot analysis suggested that 7l and 7f behaved as a mixed type of HLAG and HPA inhibitor and further, compound 7f showed significant PPAR-γ expression as compared to controls in a dose dependent manner; the expression can be attributed to its mapped pharmacophoric features with a phase screen score of 1.28 and vector score of 0.62. The proteins modulated by compounds include AMY2A, PPAR, and GAA proteins via MAPK, PPAR signalling pathways identified by cluster analysis and justified by molecular docking studies and MD trajectory analysis to evaluate the binding orientation and stability of the molecules, and the energy profiles of the molecules, both in complex with the protein, were assessed using MM/GBSA and DFT calculations, respectively. Finally, the pharmacokinetic profile was determined using ADMET analysis. Thus, from the above findings, it may demonstrate that rhodanine–thiazole hybrids constitute promising candidates in the pursuit of developing newer oral antidiabetic agents.

合成了新的罗丹宁-噻唑棒状化合物(7a-7l),并用各种光谱方法对其进行了表征。合成的杂交种进行了体外HPA、HLAG抑制和过氧化物酶体增殖物激活受体γ (PPAR-γ)表达测定。通过生物学研究,化合物7f对HPA具有良好的抑制作用,IC50值为27.13±1.02 μM,化合物7l对HLAG具有较好的抑制作用,IC50值为24.21±1.12 μM。此外,Lineweaver-Burk图分析表明,7l和7f表现为HLAG和HPA抑制剂的混合类型,此外,与对照组相比,化合物7f表现出显著的PPAR-γ表达,且呈剂量依赖性;该表达可归因于其所映射的药效特征,其相屏评分为1.28,矢量评分为0.62。化合物通过MAPK调节的蛋白包括AMY2A、PPAR和GAA蛋白,通过聚类分析确定PPAR信号通路,并通过分子对接研究和MD轨迹分析来评估分子的结合取向和稳定性,并分别使用MM/GBSA和DFT计算评估分子与蛋白质复合物的能量谱。最后,采用ADMET分析确定药代动力学特征。因此,从上述研究结果来看,罗丹宁-噻唑混合物可能是开发新型口服降糖药的有希望的候选者。
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引用次数: 0
Strategies of positron emission tomography (PET) tracer development for imaging of tau and α-synuclein in neurodegenerative disorders 用于神经退行性疾病中 tau 和 α-突触核蛋白成像的正电子发射断层扫描 (PET) 示踪剂开发战略。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-20 DOI: 10.1039/D4MD00576G
Shekar Mekala, You Wu and Yue-Ming Li

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, characterized by the presence of extracellular amyloid plaques consisting of β-amyloid peptides (Aβ) and intracellular neurofibrillary tangles (NFTs) composed of hyperphosphorylated tau (pTau) protein in the brain. Genetic and animal studies strongly indicate that Aβ, tau and neuroinflammation play important roles in the pathogenesis of AD. Several staging models showed that NFTs correlated well with the disease progression. Positron emission tomography (PET) imaging has become a widely used non-invasive technique to image NFTs for early diagnosis of AD. Despite the remarkable progress made over the past few years, tau PET imaging is still challenging due to the nature of tau pathology and the technical aspects of PET imaging. Tau pathology often coexists with other proteinopathies, such as Aβ plaques and α-synuclein aggregates. Distinguishing tau-specific signals from other overlapping pathologies is difficult, especially in the context of AD, where multiple protein aggregates are present, as well as the spectrum of different tau isoforms (3R and 4R) and conformations. Moreover, tracers should ideally have optimal pharmacokinetic properties to penetrate the blood–brain barrier (BBB) while maintaining specificity, low toxicity, low non-specific binding, rapid uptake and clearance from the brain, and formation of no radiolabeled metabolites in the brain. On the other hand, Parkinson's disease (PD) is a progressive neurodegenerative movement disorder characterized by the abnormal accumulations of α-synuclein in neurons. Heterogeneity and the unclear pathogenesis of PD hinder early and accurate diagnosis of the disease for therapeutic development in clinical use. In this review, while referring to existing reviews, we focus on the design strategies and current progress in tau (NFTs) targeting new PET tracers for AD; evolution of non-AD tau targeting PET tracers for applications including progressive supranuclear paralysis (PSP) and corticobasal degeneration (CBD); new PET tracer development for α-synuclein aggregate imaging in PD and giving an outlook for future PET tracer development.

阿尔茨海默病(AD)是一种进行性神经退行性疾病,其特征是大脑中存在由β-淀粉样肽(a β)组成的细胞外淀粉样斑块和由过度磷酸化的tau (pTau)蛋白组成的细胞内神经原纤维缠结(nft)。遗传和动物研究强烈表明,Aβ, tau和神经炎症在AD的发病机制中起重要作用。几个分期模型显示,nft与疾病进展密切相关。正电子发射断层成像(PET)已成为一种广泛应用的非侵入性技术,用于对nft进行早期诊断。尽管在过去几年中取得了显著的进展,但由于tau病理学的性质和PET成像的技术方面,tau PET成像仍然具有挑战性。Tau病理常与其他蛋白质病变共存,如Aβ斑块和α-突触核蛋白聚集。从其他重叠病理中区分tau特异性信号是困难的,特别是在AD的背景下,其中存在多种蛋白质聚集,以及不同tau亚型(3R和4R)和构象的频谱。此外,理想情况下,示踪剂应具有最佳的药代动力学特性,以穿透血脑屏障(BBB),同时保持特异性、低毒性、低非特异性结合、快速被大脑吸收和清除,并且在大脑中不形成放射性标记的代谢物。另一方面,帕金森病(PD)是一种以神经元α-突触核蛋白异常积累为特征的进行性神经退行性运动障碍。PD的异质性和不明确的发病机制阻碍了疾病的早期准确诊断和临床治疗的发展。在此综述中,在参考现有综述的同时,我们重点介绍了针对AD的新型PET示踪剂的tau (nft)的设计策略和当前进展;非ad tau靶向PET示踪剂的进化,用于包括进行性核上麻痹(PSP)和皮质基底变性(CBD)在内的应用;针对PD中α-突触核蛋白聚集成像的新型PET示踪剂的研制,并对PET示踪剂的未来发展进行了展望。
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引用次数: 0
Synthesis and biological characterization of a 17β hydroxysteroid dehydrogenase type 10 (17β-HSD10) inhibitor† 17β羟基类固醇脱氢酶10型抑制剂的合成及生物学特性研究
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-18 DOI: 10.1039/D4MD00733F
Louise F. Dow, Rasangi Pathirage, Helen E. Erickson, Edrees Amani, Donald R. Ronning and Paul C. Trippier

Alzheimer's disease (AD) is estimated to affect over 55 million people across the world. Small molecule treatment options are limited to symptom management with no impact on disease progression. The need for new protein targets and small molecule hit compounds is unmet and urgent. Hydroxysteroid 17-β dehydrogenase type 10 (17β-HSD10) is a mitochondrial enzyme known to bind amyloid beta, a hallmark of AD, and potentiate its toxicity to neurons. Identification of small molecules capable of interacting with 17β-HSD10 may drive drug discovery efforts for AD. The screening compound BCC0100281 (1), was previously identified as an inhibitor of 17β-HSD10. Herein we report the first synthetic access to the hit compound following a convergent pathway starting from simple heterocyclic building blocks. The compound was found to be toxic to ‘neuron-like’ cells, specifically those of neuroblastoma origin, providing a potential hit compound for cancer drug discovery, wherein the protein is known to be overexpressed. However, assay of synthetic intermediates identified novel scaffolds with effect to rescue amyloid beta-induced cytotoxicity, showcasing the power of organic synthesis and medicinal chemistry to optimize hit compounds.

据估计,全世界有超过5500万人患有阿尔茨海默病(AD)。小分子治疗选择仅限于症状管理,对疾病进展没有影响。对新的蛋白质靶点和小分子靶向化合物的需求尚未得到满足,而且迫切需要。羟基类固醇17-β脱氢酶10型(17β- hsd10)是一种线粒体酶,已知可结合淀粉样蛋白-阿尔茨海默病的标志,并增强其对神经元的毒性。能够与17β-HSD10相互作用的小分子的鉴定可能会推动阿尔茨海默病药物的发现。筛选化合物BCC0100281(1)先前被鉴定为17β-HSD10的抑制剂。在这里,我们报告了从简单的杂环构建块开始的收敛途径后,第一次获得命中化合物的合成途径。该化合物被发现对“神经元样”细胞有毒,特别是那些起源于神经母细胞瘤的细胞,这为癌症药物的发现提供了一个潜在的打击化合物,其中蛋白质已知过度表达。然而,合成中间体的分析发现了新的支架,可以有效地挽救淀粉样蛋白β诱导的细胞毒性,显示了有机合成和药物化学在优化击中化合物方面的力量。
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引用次数: 0
Development of diarylpyrimidine derivatives (& other heterocycles) as HIV-1 and WT RT inhibitors 二芳基嘧啶衍生物(及其他杂环)作为HIV-1和WT RT抑制剂的发展。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-14 DOI: 10.1039/D4MD00697F
Atukuri Dorababu

Reverse transcriptase (RT) is an enzyme encoded by the genetic material of retroviruses. Viruses such as HIV and hepatitis B employ an enzyme reverse transcriptase (RT) to generate complementary DNA from the RNA template during reverse transcription. Thus, viruses replicate their genomes and proliferate within the host genome. In particular, researchers are concerned about the pathogenic viruses that cause numerous diseases through this mechanism. The retroviruses that cause diseases in humans include human immunodeficiency virus (HIV), which causes AIDS, and human T-cell lymphotropic virus I (HTLV-1), which causes leukemia. HIV has been the most devastating health problem for decades. The number of recorded HIV cases was found to be approximately 39 million worldwide in 2022. Acquired immune deficiency syndrome (AIDS), most devastating disease caused by HIV-1 needs potent antiretroviral therapy for treatment. Among the effective treatments for AIDS, NNRTIs are key drugs in highly active antiretroviral therapy (HAART). Heterocyclic small molecules play an important role in drug discovery for treatment of HIV-1 infection. Particularly, diarylpyrimidines class of drugs have shown promising activity. In this review, anti-HIV-1 activity and RT inhibitory activity of heterocycle small molecules focusing mostly on diarylpyrimidines was discussed. Furthermore, structure–activity relationship was discussed emphasizing most potent molecules.

逆转录酶(RT)是由逆转录病毒遗传物质编码的一种酶。艾滋病毒和乙型肝炎等病毒在逆转录过程中使用一种酶逆转录酶(RT)从RNA模板生成互补DNA。因此,病毒复制它们的基因组并在宿主基因组内增殖。研究人员特别关注通过这种机制引起许多疾病的致病性病毒。导致人类疾病的逆转录病毒包括导致艾滋病的人类免疫缺陷病毒(HIV)和导致白血病的人类t细胞嗜淋巴病毒I (HTLV-1)。几十年来,艾滋病毒一直是最具破坏性的健康问题。2022年,全球记录在案的艾滋病毒病例约为3900万。获得性免疫缺陷综合征(艾滋病)是由艾滋病毒-1引起的最具破坏性的疾病,需要强有力的抗逆转录病毒疗法进行治疗。在治疗艾滋病的有效药物中,NNRTIs是高效抗逆转录病毒治疗(HAART)的关键药物。杂环小分子在治疗HIV-1感染的药物发现中发挥着重要作用。特别是二芳基嘧啶类药物已显示出良好的活性。本文综述了以二芳基嘧啶为主的杂环小分子的抗hiv -1活性和RT抑制活性。此外,还讨论了结构-活性关系,强调了最有效的分子。
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引用次数: 0
Advances in detecting non-steroidal anti-inflammatory drugs (NSAIDs) using molecular receptors and nanostructured assemblies 利用分子受体和纳米结构组件检测非甾体抗炎药(NSAIDs)的进展。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-13 DOI: 10.1039/D4MD00661E
Avijit Kumar Das

The detection and quantification of non-steroidal anti-inflammatory drugs (NSAIDs) are crucial due to their widespread use and potential impact on human health and the environment. This review provides a comprehensive survey of the recent advancements in sensing technologies for NSAIDs, focusing on molecular receptors and nanostructured assemblies. Molecular receptors based on different fluorescent molecules such as anthracene, naphthalimide, squaraine, quinoline, BINOL, etc. offer high selectivity and sensitivity for NSAID detection. In parallel, nanostructured assemblies including CdSe/ZnS, Cd/S quantum dots (QDs), carbon dot-containing imprinted polymers, Ag and Au nanoparticles (NPs), hydrogel-embedded chemosensors, etc. were utilized for NSAID detection. This review highlights the different binding pathways with the change of various photophysical properties combining molecular recognition elements with nanomaterials to develop innovative sensors that achieve rapid, sensitive, and selective detection of NSAIDs. The review also discusses current challenges and future prospects in the field and based on reported designed receptors and nanostructured assemblies. To the best of our knowledge, no reviews have been reported on this topic so far. Thus, this review will fruitfully guide researchers to design various new molecular receptors and nanostructured materials to detect NSAIDs.

由于非甾体抗炎药的广泛使用和对人类健康和环境的潜在影响,检测和定量是非甾体抗炎药至关重要。本文综述了非甾体抗炎药传感技术的最新进展,重点介绍了分子受体和纳米结构组件。基于蒽、萘酰亚胺、方卡因、喹啉、BINOL等不同荧光分子的分子受体对NSAID检测具有较高的选择性和灵敏度。同时,利用CdSe/ZnS、Cd/S量子点(QDs)、含碳点印迹聚合物、Ag和Au纳米粒子(NPs)、水凝胶包埋化学传感器等纳米结构组件进行NSAID检测。本文综述了不同的结合途径和各种光物理性质的变化,将分子识别元件与纳米材料相结合,开发出快速、灵敏、选择性检测非甾体抗炎药的创新传感器。综述还讨论了当前的挑战和未来的前景,并基于已报道的设计受体和纳米结构组件。据我们所知,到目前为止还没有关于这个主题的评论报告。因此,本文的综述将有效地指导研究人员设计各种新的分子受体和纳米结构材料来检测非甾体抗炎药。
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引用次数: 0
SIGMAP: an explainable artificial intelligence tool for SIGMA-1 receptor affinity prediction† SIGMAP:用于预测SIGMA-1受体亲和力的可解释的人工智能工具。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-08 DOI: 10.1039/D4MD00722K
Maria Cristina Lomuscio, Nicola Corriero, Vittoria Nanna, Antonio Piccinno, Michele Saviano, Rosa Lanzilotti, Carmen Abate, Domenico Alberga and Giuseppe Felice Mangiatordi

Developing sigma-1 receptor (S1R) modulators is considered a valuable therapeutic strategy to counteract neurodegeneration, cancer progression, and viral infections, including COVID-19. In this context, in silico tools capable of accurately predicting S1R affinity are highly desirable. Herein, we present a panel of 25 classifiers trained on a curated dataset of high-quality bioactivity data of small molecules, experimentally tested as potential S1R modulators. All data were extracted from ChEMBL v33, and the models were built using five different fingerprints and machine-learning algorithms. Remarkably, most of the developed classifiers demonstrated good predictive performance. The best-performing model, which achieved an AUC of 0.90, was developed using the support vector machine algorithm with Morgan fingerprints. To provide additional, user-friendly information for medicinal chemists in the rational design of S1R modulators, two independent explainable artificial intelligence (XAI) approaches were employed, namely Shapley Additive exPlanations (SHAP) and Contrastive Explanation. The top-performing model is accessible through a user-friendly web platform, SIGMAP (https://www.ba.ic.cnr.it/softwareic/sigmap/), specifically developed for this purpose. With its intuitive interface, robust predictive power, and implemented XAI approaches, SIGMAP serves as a valuable tool for the rational design of new and more effective S1R modulators.

开发sigma-1受体(S1R)调节剂被认为是对抗神经退行性疾病、癌症进展和病毒感染(包括COVID-19)的有价值的治疗策略。在这种情况下,能够准确预测S1R亲和力的计算机工具是非常可取的。在此,我们提出了一个由25个分类器组成的小组,这些分类器是在高质量的小分子生物活性数据集上训练的,实验测试了这些小分子作为潜在的S1R调节剂。所有数据均从ChEMBL v33中提取,并使用五种不同的指纹和机器学习算法建立模型。值得注意的是,大多数开发的分类器显示出良好的预测性能。采用摩根指纹支持向量机算法建立了性能最好的模型,AUC为0.90。为了给药物化学家合理设计S1R调节剂提供额外的、用户友好的信息,我们采用了两种独立的可解释人工智能(XAI)方法,即Shapley加性解释(SHAP)和对比解释(comparative Explanation)。性能最好的模型可以通过用户友好的web平台SIGMAP (https://www.ba.ic.cnr.it/softwareic/sigmap/)访问,该平台是专门为此目的开发的。凭借其直观的界面、强大的预测能力和实现的XAI方法,SIGMAP可作为合理设计新型和更有效的S1R调制器的宝贵工具。
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引用次数: 0
Property-based optimisation of PROTACs 基于属性的 PROTACs 优化。
IF 3.597 Q2 Pharmacology, Toxicology and Pharmaceutics Pub Date : 2024-11-07 DOI: 10.1039/D4MD00769G
James S. Scott, Iacovos N. Michaelides and Markus Schade

PROTACs are an emerging therapeutic approach towards targeted protein degradation. This article examines the leading examples of this modality that are in clinical development through the prism of their physicochemical properties. In particular, the optimisation of the various components of PROTACs together with the difficulties faced by medicinal chemists seeking to achieve oral bioavailability in this challenging space are outlined. Guidance, opinion and advice based on the authors' own experiences in this area are offered in the hope this may be useful to others working in this fascinating frontier of drug discovery.

PROTACs 是一种新兴的靶向蛋白质降解治疗方法。本文从理化特性的角度探讨了这种临床开发模式的主要实例。特别是,文章概述了 PROTACs 各种成分的优化,以及药物化学家在这一具有挑战性的领域寻求实现口服生物利用度所面临的困难。作者根据自己在这一领域的经验提供了指导、意见和建议,希望对其他从事这一令人神往的药物发现前沿领域工作的人有所帮助。
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引用次数: 0
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