Discovery of Potential Inhibitors for SFRP3: Ligand-Based 3D Pharmacophore, Virtual Screening, Molecular Docking, and Dynamics Studies

被引:4
|
作者
Deepthi, S. Infant [1 ]
Sangavi, P. [1 ]
Priyanka, G. [2 ]
Kirubhanand, C. [3 ]
Nachammai, K. T. [4 ]
Kumar, S. Gowtham [5 ]
Langeswaran, K. [6 ]
机构
[1] Alagappa Univ, Dept Biotechnol, Sci Campus, Karaikkudi, Tamil Nadu, India
[2] Sree Balaji Med Coll & Hosp, Dept Physiol, Chennai, Tamil Nadu, India
[3] All India Inst Med Sci, Dept Anat, Nagpur, Maharashtra, India
[4] Alagappa Univ, Dept Biotechnol, Sci Campus, Karaikkudi, Tamil Nadu, India
[5] Chettinad Hosp & Res Inst, Chettinad Acad Res & Educ, Fac Allied Hlth Sci, Kelambakkam, Tamil Nadu, India
[6] Alagappa Univ, Dept Biomed Sci, Sci Campus, Karaikkudi 630003, Tamil Nadu, India
关键词
HOMO-LUMO; MM-GBSA; Molecular dynamic simulations; Pharmacophore hypothesis; SFRP3 (secreted frizzled-related protein-3); Virtual screening; IDENTIFICATION; CANCER;
D O I
10.1080/10406638.2023.2283626
中图分类号
O62 [有机化学];
学科分类号
070303 ; 081704 ;
摘要
Cancer is a complicated and diverse family of diseases characterized by the body's aberrant cells growing and spreading out of control. It is one of the major causes of mortality in the world and may affect almost every organ or tissue in the body. One of the most prevalent forms of malignant tumors that affect both men and women is bone cancer. The study introduces the soluble frizzled-related protein SFRP3 as a significant participant. It functions as a tumor suppressor and regulator as well as an antagonist of the Wnt signaling pathway. It interacts directly with Wnts, regulating Wnt signaling and directing cell proliferation and differentiation in certain cell types. The study focuses on SFRP3 as a possible target for bone cancer therapy. The purpose is to find prospective medication candidates. Several databases are listed as possible drug compound sources, including NCI_Natural Products, Enamine, and specifications. Potent drugs from the selected databases are scrutinized and identified using ligand-based pharmacophore modeling. The binding affinity and interactions between the selected compounds and the SFRP3-modeled protein are evaluated using virtual screening and molecular docking approaches. The selection of lead compounds is based on their scores, binding affinity, and interactions, which indicate their potential as therapeutic candidates. To ensure that the contacts stay stable throughout time, molecular dynamics modeling is used to analyze the stability of the Protein-Ligand complex. The investigation leads to the identification of the top three compounds from each of the three databases that show potential against the target protein, SFRP3. [GRAPHICS]
引用
收藏
页码:6714 / 6736
页数:23
相关论文
共 50 条
  • [41] Pharmacophore based 3D-QSAR modeling, virtual screening and docking for identification of potential inhibitors of β-secretase
    Palakurti, Ravichand
    Vadrevu, Ramakrishna
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017, 68 : 107 - 117
  • [42] 3D QSAR pharmacophore-based virtual screening for the identification of potential inhibitors of tyrosinase
    Ghayas, Sana
    Masood, M. Ali
    Parveen, Rashida
    Aquib, Md
    Farooq, Muhammad Asim
    Banerjee, Parikshit
    Sambhare, Susmit
    Bavi, Rohit
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 38 (10): : 2916 - 2927
  • [43] Pharmacophore-based 3D-QSAR modeling, virtual screening, docking, molecular dynamics and biological evaluation studies for identification of potential inhibitors of alpha-glucosidase
    Kushavah, Unnati
    Mahapatra, Pinaki Prasad
    Ahmed, Shakil
    Siddiqi, Mohammad Imran
    JOURNAL OF MOLECULAR MODELING, 2024, 30 (11)
  • [44] Ligand-Based Pharmacophore Modeling Using Novel 3D Pharmacophore Signatures
    Kutlushina, Alina
    Khakimova, Aigul
    Madzhidov, Timur
    Polishchuk, Pavel
    MOLECULES, 2018, 23 (12):
  • [45] A comprehensive comparative assessment of 3D molecular similarity tools in ligand-based virtual screening
    Jiang, Zhenla
    Xu, Jianrong
    Yan, Aixia
    Wang, Ling
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (06)
  • [46] Ligand-Based Pharmacophore Modeling and Virtual Screening for the Discovery of Novel 17β-Hydroxysteroid Dehydrogenase 2 Inhibitors
    Vuorinen, Anna
    Engeli, Roger
    Meyer, Arne
    Bachmann, Fabio
    Griesser, Ulrich J.
    Schuster, Daniela
    Odermatt, Alex
    JOURNAL OF MEDICINAL CHEMISTRY, 2014, 57 (14) : 5995 - 6007
  • [47] Ligand-based virtual screening, molecular docking, and molecular dynamics of eugenol analogs as potential acetylcholinesterase inhibitors with biological activity against Spodoptera frugiperda
    Mendez-Alvarez, Domingo
    Herrera-Mayorga, Veronica
    Juarez-Saldivar, Alfredo
    Paz-Gonzalez, Alma D.
    Ortiz-Perez, Eyra
    Bandyopadhyay, Debasish
    Perez-Sanchez, Horacio
    Rivera, Gildardo
    MOLECULAR DIVERSITY, 2022, 26 (04) : 2025 - 2037
  • [48] Ligand-Based Virtual Screening, Molecular Docking, Molecular Dynamics, and MM-PBSA Calculations towards the Identification of Potential Novel Ricin Inhibitors
    Botelho, Fernanda D.
    dos Santos, Marcelo C.
    Goncalves, Arlan da S.
    Kuca, Kamil
    Valis, Martin
    LaPlante, Steven R.
    Franca, Tanos C. C.
    de Almeida, Joyce S. F. D.
    TOXINS, 2020, 12 (12)
  • [49] Ligand-based virtual screening, molecular docking, and molecular dynamics of eugenol analogs as potential acetylcholinesterase inhibitors with biological activity against Spodoptera frugiperda
    Domingo Méndez-Álvarez
    Verónica Herrera-Mayorga
    Alfredo Juárez-Saldivar
    Alma D. Paz-González
    Eyra Ortiz-Pérez
    Debasish Bandyopadhyay
    Horacio Pérez-Sánchez
    Gildardo Rivera
    Molecular Diversity, 2022, 26 : 2025 - 2037
  • [50] 3D-QSAR-based pharmacophore modelling of quinazoline derivatives for the identification of acetylcholinesterase inhibitors through virtual screening, molecular docking, molecular dynamics and DFT studies
    Kumar, Vijay
    Jangid, Kailash
    Kumar, Naveen
    Kumar, Vinay
    Kumar, Vinod
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2025, 43 (05): : 2631 - 2645