Bifunctional Anti-HIV/TB Inhibitors: Perspective from In-Silico Design and Molecular Dynamics Simulations

被引:3
|
作者
Blake, Lauren [1 ]
Soliman, Mahmoud E. S. [1 ]
机构
[1] Univ KwaZulu Natal, Sch Hlth Sci, ZA-4001 Durban, South Africa
关键词
Dual acting HIV/TB inhibitors; HIV-1 protease inhibitors; B-lactamase inhibitors; TB; computer-aided drug design; Bifunctional inhibitors; HIV-1; PROTEASE; ALGORITHM; UPDATE; PR;
D O I
10.2174/15701808113109990023
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
A Hybrid pharmacophore and structure-based drug design approach, aided by binding mode analysis, molecular dynamics simulations and per-residue energy contribution calculations, was used to design five novel structural scaffolds as potential bifunctional anti-HIV/TB inhibitors. Binding free energy calculations demonstrated that the proposed compounds exhibited better binding affinities towards HIV PR and BlaC enzymes when compared to prototype drugs, darunavir and meropenem, respectively. The lead design strategy presented in this work could serve as a useful tool for developing bifunctional inhibitors against wide range of biological targets.
引用
收藏
页码:706 / 712
页数:7
相关论文
共 50 条
  • [31] Innovative phytochemicals based In-Silico drug design and molecular dynamics simulation targeting norovirus induced gastroenteritis
    Rahman, Siddiq Ur
    Akbar, Roman
    Hu, Lianting
    Xiong, Chao
    Ali, Nouman
    Fallatah, Deema
    Alqadeeb, Hajar
    Liang, Huiying
    JOURNAL OF MOLECULAR STRUCTURE, 2025, 1332
  • [32] Homology modeling and molecular interaction field studies of α-glucosidases as a guide to structure-based design of novel proposed anti-HIV inhibitors
    Tomich, CH
    da Silva, P
    Carvalho, I
    Taft, CA
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2005, 19 (02) : 83 - 92
  • [33] 3D-QSAR Methodologies and Molecular Modeling in Bioinformatics for the Search of Novel Anti-HIV Therapies: Rational Design of Entry Inhibitors
    Speck-Planche, Alejandro
    Kleandrova, Valeria V.
    Scotti, Marcus T.
    Cordeiro, M. N. D. S.
    CURRENT BIOINFORMATICS, 2013, 8 (04) : 452 - 464
  • [34] Homology modeling and molecular interaction field studies of α-glucosidases as a guide to structure-based design of novel proposed anti-HIV inhibitors
    C.H. Tomich, P. da Silva
    Ivone Carvalho
    C.A. Taft
    Journal of Computer-Aided Molecular Design, 2005, 19 : 83 - 92
  • [35] Design of novel DABO derivatives as HIV-1 RT inhibitors using molecular docking, molecular dynamics simulations and ADMET properties
    Zhang, Yanjun
    Chen, Lu
    Wang, Zhonghua
    Zhu, Yiren
    Jiang, Huifang
    Xu, Jie
    Xiong, Fei
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 42 (08): : 4196 - 4213
  • [36] Molecular Dynamics Simulations of the HIV-1 Integrase Dimerization Interface: Guidelines for the Design of a Novel Class of Integrase Inhibitors
    Sippel, Martin
    Sotriffer, Christoph A.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2010, 50 (04) : 604 - 614
  • [37] Atomistic Characterization of the HIV Capsid from Molecular Dynamics Simulations
    Perilla, Juan R.
    Schulten, Klaus
    BIOPHYSICAL JOURNAL, 2015, 108 (02) : 209A - 209A
  • [38] Exploring Aromatic Cage Flexibility Using Cosolvent Molecular Dynamics Simulations-An In-Silico Case Study of Tudor Domains
    Vorreiter, Christopher
    Robaa, Dina
    Sippl, Wolfgang
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2024, 64 (11) : 4553 - 4569
  • [39] In-silico design novel phenylsulfonyl furoxan and phenstatin derivatives as multi-target anti-cancer inhibitors based on 2D-QSAR, molecular docking, dynamics and ADMET approaches
    Guendouzi, Abdelmadjid
    Belkhiri, Lotfi
    Djelti, Farah
    Zendaoui, Zineddine Mohamed
    Brahim, Houari
    Guendouzi, Abdelkrim
    Djekoun, Abdelhamid
    Boucekkine, Abdou
    MOLECULAR SIMULATION, 2024, 50 (06) : 470 - 492
  • [40] Multi-target QSAR modelling in the analysis and design of HIV-HCV co-inhibitors: an in-silico study
    Liu, Qi
    Zhou, Han
    Liu, Lin
    Chen, Xi
    Zhu, Ruixin
    Cao, Zhiwei
    BMC BIOINFORMATICS, 2011, 12