Molecular dynamics and QM/MM-based 3D interaction analyses of cyclin-E inhibitors

被引:6
|
作者
Pasha, Farhan Ahmad [1 ,2 ]
Neaz, Mohammad Morshed [2 ]
机构
[1] IFP Energies nouvelles, Appl Chem & Phys Chem Div, F-92582 Rueil Malmaison, France
[2] Korea Inst Sci & Technol, Seoul 130650, South Korea
关键词
Drug design; CDK2; Kinase; QM/MM; MD; DEPENDENT KINASE INHIBITORS; STRUCTURE-BASED DESIGN; CELL-CYCLE; RETINOBLASTOMA PROTEIN; ACTIVATING KINASE; DRUG DESIGN; PHOSPHORYLATION; SOFTNESS; HARDNESS; DOCKING;
D O I
10.1007/s00894-012-1620-z
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Abnormal expression of cyclin-dependent kinase 2 (CDK2)/cyclin-E is detected in colorectal, ovarian, breast and prostate cancers. The study of CDK2 with a bound inhibitor revealed CDK2 as a potential therapeutic target for several proliferative diseases. Several highly selective inhibitors of CDK2 are currently undergoing clinical trials, but possibilities remain for the identification and development of novel and improved inhibitors. For example, in silico targeting of ATP-competitive inhibitors of CDKs is of special interest. A series of 3,5-diaminoindazoles was studied using molecular docking and comparative field analyses. We used post-docking short time molecular dynamics (MD) simulation to account for receptor flexibility. The three types of structures, i.e., the highest energy, lowest energy and the structure most resembling the X-ray structure (three complexes) were identified for all ligands. QM/MM energy calculations were performed using a DFT b3lyp/6-31 g* and MM OPLS-2005 force field. Conceptual DFT properties such as the interaction energy of ligand to protein, global hardness (eta), HOMO density, electrostatic potential, and electron density were calculated and related to inhibitory activity. CoMFA and CoMSIA were used to account for steric and electrostatic interactions. The results of this study provide insight into the bioactive conformation, interactions involved, and the effect of different drug fragments over different biological activities.
引用
收藏
页码:879 / 891
页数:13
相关论文
共 50 条
  • [41] Modeling and Molecular Dynamics of the 3D Structure of the HPV16 E7 Protein and Its Variants
    Bello-Rios, Ciresthel
    Montano, Sarita
    Garibay-Cerdenares, Olga Lilia
    Araujo-Arcos, Lilian Esmeralda
    Leyva-Vazquez, Marco Antonio
    Illades-Aguiar, Berenice
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (03) : 1 - 14
  • [42] Integrative computational approach for hyperuricemia treatment: 3D QSAR, molecular docking and dynamics of flavonoid analogues as xanthine oxidase inhibitors
    Navarro-Acosta, Daniela
    Coba-Jimenez, Ludis
    Leon-Sotomayor, Waldo
    Vivas-Reyes, Ricardo
    Cubillan, Nestor
    JOURNAL OF MOLECULAR STRUCTURE, 2025, 1322
  • [43] In silico identification and screening of CYP24A1 inhibitors: 3D QSAR pharmacophore mapping and molecular dynamics analysis
    Jayaraj, John Marshal
    Krishnasamy, Gopinath
    Lee, Jung-Kul
    Muthusamy, Karthikeyan
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2019, 37 (07): : 1700 - 1714
  • [44] Insight into the structural requirements of thiophene-3-carbonitriles-based MurF inhibitors by 3D-QSAR, molecular docking and molecular dynamics study
    Azam, Mohammed Afzal
    Jupudi, Srikanth
    JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION, 2017, 37 (05) : 522 - 534
  • [45] Combined 3D-QSAR, molecular docking, and molecular dynamics study on potent cyclohexene-based influenza neuraminidase inhibitors
    Cheng, Li Ping
    Huang, Xin Ying
    Wang, Zhi
    Kai, Zhen Peng
    Wu, Fan Hong
    MONATSHEFTE FUR CHEMIE, 2014, 145 (07): : 1213 - 1225
  • [46] Atom-based 3D-QSAR, molecular docking and molecular dynamics simulation assessment of inhibitors for thyroid hormone receptor α and β
    Manish Kumar Gupta
    Krishna Misra
    Journal of Molecular Modeling, 2014, 20
  • [47] Atom-based 3D-QSAR, molecular docking and molecular dynamics simulation assessment of inhibitors for thyroid hormone receptor α and β
    Gupta, Manish Kumar
    Misra, Krishna
    JOURNAL OF MOLECULAR MODELING, 2014, 20 (06)
  • [48] Pharmacophore modeling, atom based 3D-QSAR, molecular docking and molecular dynamics studies on Escherichia coli ParE inhibitors
    Azam, Mohammed Afzal
    Thathan, Janarthanan
    Jupudi, Srikanth
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2020, 84
  • [49] Combined 3D-QSAR, molecular docking, and molecular dynamics study on potent cyclohexene-based influenza neuraminidase inhibitors
    Li Ping Cheng
    Xin Ying Huang
    Zhi Wang
    Zhen Peng Kai
    Fan Hong Wu
    Monatshefte für Chemie - Chemical Monthly, 2014, 145 : 1213 - 1225
  • [50] Exploring the selectivity of PI3Kα and mTOR inhibitors by 3D-QSAR, molecular dynamics simulations and MM/GBSA binding free energy decomposition
    Wu, Feng
    Hou, Xueyan
    Luo, Hao
    Zhou, Meng
    Zhang, Wenjuan
    Ding, Zhenyu
    Li, Rui
    MEDCHEMCOMM, 2013, 4 (11) : 1482 - 1496