Title: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
Volume: 21
Issue: 3
Author(s): Meichen Pan, Lingxue Cheng, Yiguo Wang, Chunyi Lyu, Chao Hou*Qiming Zhang*
Affiliation:
- Department of
Gastroenterology, People's Liberation Army Joint Logistics Support Force No. 960 Hospital, China
- Jinan Military Region General Hospital, Jinan, China
- Medical Laboratory Center, Chinese Academy of Traditional Chinese Medicine, Beijing, China
Keywords:
Glioblastoma, drug design, ethan-1-ol analogues, QSAR, glutaminase 1, molecule docking.
Abstract:
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.