The Role of 3D Pharmacophore Mapping Based Virtual Screening for Identification of Novel Anticancer Agents: An Overview

被引:10
|
作者
Halder, Amit K. [1 ]
Saha, Achintya [2 ]
Jha, Tarun [1 ]
机构
[1] Jadavpur Univ, Nat Sci Lab, Div Med & Pharmaceut Chem, Dept Pharmaceut Technol, Kolkata 700032, India
[2] Univ Calcutta, Dept Chem Technol, Kolkata 700009, India
关键词
Cancer; Cheminformatics; Pharmacophore mapping; Virtual screening; Kinase; Lead identification; HISTONE DEACETYLASE INHIBITORS; SMALL-MOLECULE INHIBITORS; IN-SILICO; P-GLYCOPROTEIN; BIOLOGICAL EVALUATION; MULTIDRUG-RESISTANCE; DRUG DISCOVERY; MODEL DEVELOPMENT; NATURAL-PRODUCTS; DESIGN;
D O I
10.2174/1568026611313090009
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
In recent years, numerous changes have been made in the field of cancer research with the progresses of molecular biology, chemoinformatics and chemogenomics. Several new biomolecular targets have been identified, and investigated for new drug discovery. In the current article, we discuss the role of pharmacophore mapping and pharmacophore-based virtual screening (PBVS) approaches for identification of novel anticancer hits. It showed that pharmacophore-based studies were performed for almost every type of anticancer agents. However, such applications are clustered on finding novel hits for a few targets like cancer-related hormones, kinase enzymes and other less investigated targets. Some reports were found with virtual hits experimentally validated against respective targets. These were thoroughly described and the novel hits were pointed out. Others with PBVS of anticancer targets were also discussed and the identified features were highlighted. Present review showed that PBVS may serve as a true lead generator if it is performed in a unified fashion that combines in silico techniques with experimental validation. With enormous progresses in computational methods as well as molecular biology, it is expected that pharmacophore-based drug discovery strategy will aid in significant upsurge in the field of cancer chemotherapy in near future.
引用
收藏
页码:1098 / 1126
页数:29
相关论文
共 50 条
  • [1] Pharmacophore mapping and virtual screening for the identification of new PPARγ agonists
    Khanna, Smriti
    Sundriyal, Sandeep
    Bharatam, Prasad, V
    JOURNAL OF THE INDIAN CHEMICAL SOCIETY, 2020, 97 (08) : 1191 - 1197
  • [2] 3D-QSAR based pharmacophore modeling and virtual screening for identification of novel pteridine reductase inhibitors
    Dube, Divya
    Periwal, Vinita
    Kumar, Mukesh
    Sharma, Sujata
    Singh, Tej P.
    Kaur, Punit
    JOURNAL OF MOLECULAR MODELING, 2012, 18 (05) : 1701 - 1711
  • [3] Molecular Docking, Pharmacophore Mapping, and Virtual Screening of Novel Glucokinase Activators as Antidiabetic Agents
    Mehra, Anuradha
    Mittal, Amit
    Thakur, Divya
    CURRENT PROTEOMICS, 2024, 21 (04) : 251 - 276
  • [4] 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
  • [5] Pharmacophore Based 3D-QSAR, Virtual Screening and Docking Studies on Novel Series of HDAC Inhibitors with Thiophen Linker as Anticancer Agents
    Patel, Preeti
    Singh, Avineesh
    Patel, Vijay K.
    Jain, Deepak K.
    Veerasamy, Ravichandran
    Rajak, Harish
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2016, 19 (09) : 735 - 751
  • [6] 3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Studies for Identification of Tubulin Inhibitors with Potential Anticancer Activity
    Mirzaei, Salimeh
    Ghodsi, Razieh
    Hadizadeh, Farzin
    Sahebkar, Amirhossein
    BIOMED RESEARCH INTERNATIONAL, 2021, 2021
  • [7] 3D QSAR Pharmacophore Based Virtual Screening for Identification of Potential Inhibitors for CDC25B
    Ma, Ying
    Li, Hong-Lian
    Chen, Xiu-Bo
    Jin, Wen-Yan
    Zhou, Hui
    Ma, Ying
    Wang, Run-Ling
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2018, 73 : 1 - 12
  • [8] Identification of Novel Human HDAC8 Inhibitors by Pharmacophore-based Virtual Screening and Density Functional Theory Approaches
    Kim, Seokmin
    Lee, Yuno
    Kim, Songmi
    Lee, Sang Jik
    Heo, Phil Kyeong
    Kim, Siu
    Kwon, Yong Jung
    Lee, Keun Woo
    BULLETIN OF THE KOREAN CHEMICAL SOCIETY, 2018, 39 (02): : 197 - 206
  • [9] Identification of novel urease inhibitors: pharmacophore modeling, virtual screening and molecular docking studies
    Arora, Richa
    Issar, Upasana
    Kakkar, Rita
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2019, 37 (16) : 4312 - 4326
  • [10] Generation of Ligand-Based Pharmacophore Model and Virtual Screening for Identification of Novel Tubulin Inhibitors with Potent Anticancer Activity
    Chiang, Yi-Kun
    Kuo, Ching-Chuan
    Wu, Yu-Shan
    Chen, Chung-Tong
    Coumar, Mohane Selvaraj
    Wu, Jian-Sung
    Hsieh, Hsing-Pang
    Chang, Chi-Yen
    Jseng, Huan-Yi
    Wu, Ming-Hsine
    Leou, Jiun-Shyang
    Song, Jen-Shin
    Chang, Jang-Yang
    Lyu, Ping-Chiang
    Chao, Yu-Sheng
    Wu, Su-Ying
    JOURNAL OF MEDICINAL CHEMISTRY, 2009, 52 (14) : 4221 - 4233