Literature DB >> 34063946

Network Pharmacological Analysis through a Bioinformatics Approach of Novel NSC765600 and NSC765691 Compounds as Potential Inhibitors of CCND1/CDK4/PLK1/CD44 in Cancer Types.

Ntlotlang Mokgautsi1,2, Yu-Chi Wang3, Bashir Lawal1,2, Harshita Khedkar1,2, Maryam Rachmawati Sumitra1,2, Alexander T H Wu4,5,6,7, Hsu-Shan Huang1,2,7,8,9.   

Abstract

Cyclin D1 (CCND1) and cyclin-dependent kinase 4 (CDK4) both play significant roles in regulating cell cycle progression, while polo-like kinase 1 (PLK1) regulates cell differentiation and tumor progression, and activates cancer stem cells (CSCs), with the cluster of differentiation 44 (CD44) surface marker mostly being expressed. These oncogenes have emerged as promoters of metastasis in a variety of cancer types. In this study, we employed comprehensive computational and bioinformatics analyses to predict drug targets of our novel small molecules, NSC765600 and NSC765691, respectively derived from diflunisal and fostamatinib. The target prediction tools identified CCND1/CDK4/PLK1/CD44 as target genes for NSC765600 and NSC765691 compounds. Additionally, the results of our in silico molecular docking analysis showed unique ligand-protein interactions with putative binding affinities of NSC765600 and NSC765691 with CCND1/CDK4/PLK1/CD44 oncogenic signaling pathways. Moreover, we used drug-likeness precepts as our guidelines for drug design and development, and found that both compounds passed the drug-likeness criteria of molecular weight, polarity, solubility, saturation, flexibility, and lipophilicity, and also exhibited acceptable pharmacokinetic properties. Furthermore, we used development therapeutics program (DTP) algorithms and identified similar fingerprints and mechanisms of NSC765600 and NSC765691 with synthetic compounds and standard anticancer agents in the NCI database. We found that NSC765600 and NSC765691 displayed antiproliferative and cytotoxic effects against a panel of NCI-60 cancer cell lines. Based on these finding, NSC765600 and NSC765691 exhibited satisfactory levels of safety with regard to toxicity, and met all of the required criteria for drug-likeness precepts. Currently, further in vitro and in vivo investigations in tumor-bearing mice are in progress to study the potential treatment efficacies of the novel NSC765600 and NSC765691 small molecules.

Entities:  

Keywords:  bioinformatics; cancer stem cells (CSCs); drug resistance; drug-likeness; pharmacokinetics

Year:  2021        PMID: 34063946     DOI: 10.3390/cancers13112523

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  5 in total

1.  Anticancer Activities of 9-chloro-6-(piperazin-1-yl)-11H-indeno[1,2-c] quinolin-11-one (SJ10) in Glioblastoma Multiforme (GBM) Chemoradioresistant Cell Cycle-Related Oncogenic Signatures.

Authors:  Ntlotlang Mokgautsi; Yu-Cheng Kuo; Sung-Ling Tang; Feng-Cheng Liu; Shiang-Jiun Chen; Alexander T H Wu; Hsu-Shan Huang
Journal:  Cancers (Basel)       Date:  2022-01-05       Impact factor: 6.639

Review 2.  The LncRNA DUXAP10 Could Function as a Promising Oncogene in Human Cancer.

Authors:  Junjie Zhao; Lixia Xu; Zihui Dong; Yize Zhang; Junhua Cao; Jie Yao; Jiyuan Xing
Journal:  Front Cell Dev Biol       Date:  2022-02-03

3.  Sea Cucumber Compounds Targeting NF-κB in Cancer Treatment.

Authors:  Teresa Liliana Wargasetia; Hana Ratnawati; Nashi Widodo
Journal:  Bioinform Biol Insights       Date:  2022-04-17

Review 4.  Target-Based Small Molecule Drug Discovery for Colorectal Cancer: A Review of Molecular Pathways and In Silico Studies.

Authors:  Said Moshawih; Ai Fern Lim; Chrismawan Ardianto; Khang Wen Goh; Nurolaini Kifli; Hui Poh Goh; Qais Jarrar; Long Chiau Ming
Journal:  Biomolecules       Date:  2022-06-23

5.  In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.

Authors:  Harshita Nivrutti Khedkar; Yu-Chi Wang; Vijesh Kumar Yadav; Prateeti Srivastava; Bashir Lawal; Ntlotlang Mokgautsi; Maryam Rachmawati Sumitra; Alexander T H Wu; Hsu-Shan Huang
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

  5 in total

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