Conducting 2D and 3D QSAR Analyses and Molecular Docking Studies of Analogues of 2-(1-(1,3,4-thiadiazol-2-yl)piperidin-4-yl)ethan-1-ol with the Aim of Identifying Promising Drug Candidates for Targeting Glioblastoma

被引:0
|
作者
Pan, Meichen [1 ]
Cheng, Lingxue [2 ,4 ,5 ]
Wang, Yiguo [3 ]
Lyu, Chunyi [1 ]
Hou, Chao [2 ,4 ]
Zhang, Qiming [2 ,3 ]
机构
[1] Shandong Univ Tradit Chinese Med, Clin Med Coll 1, Jinan, Peoples R China
[2] Peoples Liberat Army Joint Logist Support Force 96, Dept Gastroenterol, Jinan, Peoples R China
[3] Chinese Acad Tradit Chinese Med, Med Lab Ctr, Beijing, Peoples R China
[4] Jinan Mil Reg Gen Hosp, Inst Cardiovasc Dis, Jinan, Peoples R China
[5] 971 Naval Hosp Peoples Liberat Army, Dept Gastroenterol, Qingdao, Peoples R China
关键词
Glioblastoma; drug design; ethan-1-ol analogues; QSAR; glutaminase; 1; molecule docking; GLUTAMINE-METABOLISM; PANCREATIC-CANCER; MECHANISM; 3D-QSAR; PERMEABILITY; GENERATION; INHIBITORS; STATE;
D O I
10.2174/1570180820666230901162718
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background: 2-(1-(1,3,4-thiadiazol-2-yl)piperidin-4-yl) ethan-1-ol analogues represent novel glutaminase 1 inhibitors. Their exemplary antineoplastic efficacy underscores their prospective utility in glioblastoma chemotherapy.Objective: This study aimed to elucidate 2D and 3D-QSAR models that authenticate the antineoplastic efficacy of ethan-1-ol analogues and delineate optimal structural configurations conducive to new pharmaceutical design.Methods: The Heuristic Method (HM) was employed for the development of a 2D-linear QSAR paradigm, whilst the Gene Expression Programming (GEP) algorithm was employed for a 2D-nonlinear QSAR paradigm. Concurrently, the CoMSIA methodology was deployed to scrutinize the nexus between pharmaceutical structure and potency. An ensemble of 200 nascent anti-glioma ethan-1-ol compounds was conceptualized, and their potency levels were prognosticated via chemical descriptors and molecular field delineations. Pharmaceuticals epitomizing peak potency were earmarked for molecular docking validation.Results: The empirical modeling exhibited pronounced superiority with the 3D paradigm, succeeded by the GEP nonlinear paradigm and culminated with the HM linear model. The 3D paradigm was characterized by a robust Q2 (0.533), R2 (0.921), and F-values (132.338) complemented by a minimal SEE (0.110). The molecular descriptor MNO coupled with the hydrogen bond donor field facilitated novel pharmaceutical conceptualizations, leading to the identification of the quintessential active molecule, 24J.138, lauded for its superlative antineoplastic attributes and docking proficiency.Conclusion: The orchestration of bidimensional and tridimensional paradigms, synergized by innovative amalgamation of contour maps and molecular descriptors, provides novel insights and methodologies for the synthesis of glioblastoma chemotherapeutic agents.
引用
收藏
页码:602 / 658
页数:57
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