Molecular Docking and Molecular Dynamics Simulations of Bendamustine Functionalized Al/B-N/P Nanocages as Potential Inhibitors of Cellular Tumor Antigen

被引:0
|
作者
Mahani, Nosrat Madadi [1 ]
Yosefelahi, Roya [1 ]
Behjatmanesh-Ardekani, Reza [2 ]
机构
[1] Payame Noor Univ, Dept Chem, Tehran 193954697, Iran
[2] Ardakan Univ, Fac Engn, Dept Chem Engn, POB 184, Ardakan, Iran
来源
PHYSICAL CHEMISTRY RESEARCH | 2024年 / 12卷 / 03期
关键词
Binding energy; Drug carriers; Root mean square displacement; Radius of gyration; Anti-cancer drug; PARTICLE MESH EWALD; LYMPHOMA; OXIDE;
D O I
10.22036/pcr.2024.413249.2403
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Drug delivery based on nanocages is helpful in nanomedicine with the minimum side effects and targeting drugs in the cancer cell. Bendamustine, an anti -cancer drug, inhibits the activity of cancer cells in humans and is broadly used in the therapy of breast cancer. The interaction of single Bendamustine and Bendamustine@Al/B-N/P nanocages with P53 protein was studied. In this study, molecular docking and molecular dynamics simulations (MD) were conducted to investigate the interaction of some of the Bendamustine, Al/B-N/P nanocages with the P53 protein. The best pose of the configuration of Bendamustine and Bendamustine@Al/B-N/P nanocages in the active sites of the P53 protein results in negative binding energies. Complexes of Bendamustine@B12N12 and Bendamustine@B12N12 with P53 protein have the most binding energy. In addition, MD simulation was done on the stable complexes with high binding energy to recognize the structural changes in the complexes of Bendamustine, Bendamustine@B12N12, and bendamustine@B(12)N(12)nanocages with P53 protein. Studies illustrated that B12N12 and B12N12 could serve as drug carriers for delivering the Bendamustine drug in a targeted procedure for inhibiting the P53 protein. In-silico studies are important parts of the structure -based drug design process that displayed that nanocages are suitable sensors for the Bendamustine drug.
引用
收藏
页码:753 / 762
页数:10
相关论文
共 50 条
  • [41] Design, synthesis, biological activity, molecular docking, and molecular dynamics of novel benzimidazole derivatives as potential AChE/MAO-B dual inhibitors
    Osmaniye, Derya
    Evren, Asaf E.
    Saglik, Begum N.
    Levent, Serkan
    Ozkay, Yusuf
    Kaplancikli, Zafer A.
    ARCHIV DER PHARMAZIE, 2022, 355 (03)
  • [42] Identification of potential Staphylococcus aureus dihydrofolate reductase inhibitors using QSAR, molecular docking, dynamics simulations and free energy calculation
    Matos, Isaac de Araujo
    Goes Pinto, Ana Carolina
    Ferraz, Matheus Vitor Ferreira
    Adan, Wenny Camilla Santos
    Rodrigues, Ricardo Pereira
    dos Santos, Juliane Xavier
    Kitagawa, Rodrigo Rezende
    Lins, Roberto Dias
    Oliveira, Tiago Branquinho
    da Costa, Nivan Bezerra, Jr.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (09): : 3835 - 3846
  • [43] High-Throughput Docking and Molecular Dynamics Simulations towards the Identification of Potential Inhibitors against Human Coagulation Factor XIIa
    Xu, Dongfang
    Xue, Guangpu
    Peng, Bangya
    Feng, Zanjie
    Lu, Hongling
    Gong, Lihu
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2020, 2020
  • [44] Potential inhibitors of the enzyme acetylcholinesterase and juvenile hormone with insecticidal activity: study of the binding mode via docking and molecular dynamics simulations
    Ramos, Ryan S.
    Macedo, Williams J. C.
    Costa, Josivan S.
    da Silva, Carlos H. T. de P.
    Rosa, Joaquin M. C.
    da Cruz, Jorddy Neves
    de Oliveira, Mozaniel S.
    de Aguiar Andrade, Eloisa H.
    e Silva, Raullyan B. L.
    Souto, Raimundo N. P.
    Santos, Cleydson B. R.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 38 (16): : 4687 - 4709
  • [45] Discovery of novel anticancer flavonoids as potential HDAC2 inhibitors: virtual screening approach based on molecular docking, DFT and molecular dynamics simulations studies
    Shah, Ashish
    Choudhary, Aarti
    Jain, Manav
    Perumal, Sathiaseelan
    Patel, Vaishali
    Parmar, Ghanshyam
    Patel, Ashish
    3 BIOTECH, 2024, 14 (03)
  • [46] Potential inhibitors of SARS-cov-2 RNA dependent RNA polymerase protein: molecular docking, molecular dynamics simulations and MM-PBSA analyses
    Elkarhat, Zouhair
    Charoute, Hicham
    Elkhattabi, Lamiae
    Barakat, Abdelhamid
    Rouba, Hassan
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (01): : 361 - 374
  • [47] Virtual Screening of Adenylate Kinase 3 Inhibitors Employing Pharmacophoric Model, Molecular Docking, and Molecular Dynamics Simulations as Potential Therapeutic Target in Chronic Lymphocytic Leukemia
    Barbosa, Barbara Lima Fonseca
    Freitas, Tulio Resende
    Almeida, Michell de Oliveira
    Araujo, Sergio Schusterschitz da Silva
    Andrade, Ana Clara
    Dornelas, Geovana Gomes
    Fiorotto, Julyana Gayva
    Maltarollo, Vinicius Goncalves
    Sabino, Adriano de Paula
    FUTURE PHARMACOLOGY, 2021, 1 (01): : 60 - 79
  • [48] Computational identification of novel piperidine derivatives as potential HDM2 inhibitors designed by fragment-based QSAR, molecular docking and molecular dynamics simulations
    Singh, Aditi
    Goyal, Sukriti
    Jamal, Salma
    Subramani, Bala
    Das, Mriganko
    Admane, Nikita
    Grover, Abhinav
    STRUCTURAL CHEMISTRY, 2016, 27 (03) : 993 - 1003
  • [49] Deciphering Molecular Aspects of Potential a-Glucosidase Inhibitors within Aspergillus terreus: A Computational Odyssey of Molecular Docking-Coupled Dynamics Simulations and Pharmacokinetic Profiling
    Elhady, Sameh S.
    Alshobaki, Noha M.
    Elfaky, Mahmoud A.
    Koshak, Abdulrahman E.
    Alharbi, Majed
    Abdelhameed, Reda F. A.
    Darwish, Khaled M.
    METABOLITES, 2023, 13 (08)
  • [50] Discovery of novel anticancer flavonoids as potential HDAC2 inhibitors: virtual screening approach based on molecular docking, DFT and molecular dynamics simulations studies
    Ashish Shah
    Aarti Choudhary
    Manav Jain
    Sathiaseelan Perumal
    Vaishali Patel
    Ghanshyam Parmar
    Ashish Patel
    3 Biotech, 2024, 14