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氟康唑分子印迹聚合物的理论洞察与分子识别:计算与实验相结合的分析

Theoretical insight and molecular recognition of fluconazole molecularly imprinted polymers: a combined computational and experimental analysis.

作者信息

Gunawan Untung, Ibrahim Slamet, Ivansyah Atthar Luqman, Damayanti Sophi

机构信息

Department of Pharmacy, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia 14440 Indonesia

Faculty of Pharmacy, Universitas Jenderal Achmad Yani Cimahi 40531 Indonesia.

出版信息

RSC Adv. 2025 Jun 5;15(24):19158-19175. doi: 10.1039/d5ra03211c. eCollection 2025 Jun 4.

Abstract

Insufficient surveillance and diagnosis result in a minimum of 150 million cases of serious fungal infections reported annually. The WHO has compiled a list of priority pathogens to encourage research and investment in fungal infections and antifungal resistance in late 2022. Among these, is classified as a critical pathogen. Fluconazole is widely recognized as an effective medication for the treatment and prevention of both mucosal and invasive candidiasis. Molecularly imprinted polymer (MIP) could enhance separation selectivity in fluconazole bioanalysis. The objective of this research is to develop an MIP for fluconazole by analyzing interactions identified in prior research and incorporating established improvements for MIP synthesis that cannot be observed through laboratory experimentation. Based on binding affinity, intermolecular hydrogen bonds, complexation energy, and thermodynamic characteristics, 2-acrylamido-1-ethanesulfonic acid was chosen as the optimal monomer. The HOMO-LUMO investigation revealed the localization of the orbitals from the guest to the host. The FMO study indicated that chloroform was the most suitable solvent for complex formation. The QTAIM, NBO, and NCI-RDG analyses identified the hydrogen bond formed between the H51 atom of the monomer and the N33 atom of fluconazole, determined to be the most significant hydrogen bond in the host-guest interaction. The interaction energy from multi-monomer interaction showed that a 1 : 6 ratio is the best ratio in forming a pre-polymerization complex between the template and monomer. Based on the findings of this study, it is anticipated that the computational analysis may be utilized for rational design for the enhancement of prior studies and future laboratory investigations.

摘要

监测和诊断不足导致每年至少有1.5亿例严重真菌感染病例报告。世界卫生组织在2022年末编制了一份优先病原体清单,以鼓励对真菌感染和抗真菌耐药性的研究与投资。其中,[病原体名称未给出]被列为关键病原体。氟康唑被广泛认为是治疗和预防黏膜及侵袭性念珠菌病的有效药物。分子印迹聚合物(MIP)可提高氟康唑生物分析中的分离选择性。本研究的目的是通过分析先前研究中确定的相互作用,并纳入通过实验室实验无法观察到的MIP合成的既定改进方法,来开发一种针对氟康唑的MIP。基于结合亲和力、分子间氢键、络合能和热力学特性,选择2-丙烯酰胺基-1-乙磺酸作为最佳单体。HOMO-LUMO研究揭示了轨道从客体到主体的定位。前线分子轨道(FMO)研究表明氯仿是形成络合物最合适的溶剂。量子拓扑原子分子理论(QTAIM)、自然键轨道(NBO)和非共价相互作用区域密度梯度(NCI-RDG)分析确定了单体的H51原子与氟康唑的N33原子之间形成的氢键,该氢键被确定为主客体相互作用中最重要的氢键。多单体相互作用的相互作用能表明,1∶6的比例是模板与单体形成预聚合络合物的最佳比例。基于本研究的结果,预计计算分析可用于合理设计,以加强先前的研究和未来的实验室研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd3/12139473/0374c14d0326/d5ra03211c-f1.jpg

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