Computational approaches towards the discovery and optimisation of cruzain inhibitors

被引:10
|
作者
Santos, Viviane Correa [1 ]
Ferreira, Rafaela Salgado [1 ]
机构
[1] Univ Fed Minas Gerais, Inst Ciencias Biol, Dept Bioquim & Imunol, Lab Modelagem Mol & Planejamento Farmacos, Belo Horizonte, MG, Brazil
来源
基金
俄罗斯科学基金会;
关键词
cruzain; cruzipain; Chagas disease; docking; molecular dynamics simulations;
D O I
10.1590/0074-02760210385
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
The need to develop safer and more efficacious drugs to treat Chagas disease has motivated the search for cruzain inhibitors. Cruzain is the recombinant, truncated version of cruzipain, a cysteine protease from Trypanosoma cruzi with important roles during the parasite life cycle. Several computational techniques have been applied to discover and optimise cruzain inhibitors, providing a molecular basis to guide this process. Here, we review some of the most recent computational studies that provided important information for the design of cruzain inhibitors. Moreover, we highlight the diversity of applications of in silico techniques and their impact.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Discovery of potent thiosemicarbazone inhibitors of rhodesain and cruzain
    Fujii, N
    Mallari, JP
    Hansell, EJ
    Mackey, Z
    Doyle, P
    Zhou, YM
    Gut, J
    Rosenthal, PJ
    McKerrow, JH
    Guy, RK
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2005, 15 (01) : 121 - 123
  • [2] Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview
    Guedes, Romina A.
    Serra, Patricia
    Salvador, Jorge A. R.
    Guedes, Rita C.
    MOLECULES, 2016, 21 (07)
  • [3] Computational discovery of sulfonamide derivatives as potential inhibitors of the cruzain enzyme from T. cruzi by molecular docking, molecular dynamics and MM/GBSA approaches
    Lima da Costa, Ana Paula
    Silva, Jose Rogerio A.
    de Molfetta, Fabio Alberto
    MOLECULAR SIMULATION, 2022, 48 (18) : 1678 - 1687
  • [4] Combinatorial approaches towards the discovery of new tryptase inhibitors
    del Fresno, M
    Fernández-Forner, DB
    Miralpeix, M
    Segarra, V
    Ryder, H
    Royo, M
    Albericio, F
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2005, 15 (06) : 1659 - 1664
  • [5] Discovery of Novel Inhibitors of Cruzain Cysteine Protease of Trypanosoma cruzi
    Prates, Joao Lucas Bruno
    Lopes, Juliana Romano
    Chin, Chung Man
    Ferreira, Elizabeth Igne
    dos Santos, Jean Leandro
    Scarim, Caue Benito
    CURRENT MEDICINAL CHEMISTRY, 2024, 31 (16) : 2285 - 2308
  • [6] Computational Approaches for the Discovery of Cysteine Protease Inhibitors Against Malaria and SARS
    Shah, Falgun
    Mukherjee, Prasenjit
    Desai, Prashant
    Avery, Mitchell
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2010, 6 (01) : 1 - 23
  • [7] Computational approaches for the discovery of natural pancreatic lipase inhibitors as antiobesity agents
    Almasri, Ihab M.
    FUTURE MEDICINAL CHEMISTRY, 2020, 12 (08) : 741 - 757
  • [8] Computational and synthetic approaches for the discovery of HIV-1 integrase inhibitors
    Barreca, Maria Letizia
    De Luca, Laura
    Ferro, Stefania
    Rao, Angela
    Monforte, Anna-Maria
    Chimirri, Alba
    ARKIVOC, 2006, : 224 - 244
  • [9] Virtual screening strategies for the discovery of new inhibitors of cruzain from Trypanosoma cruzi
    de Souza, Mariana Laureano
    Ferreira, Rafaela S.
    Krogh, Renata
    Oliva, Glaucius
    Dias, Luiz C.
    Andricopulo, Adriano D.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 248
  • [10] Computational approaches for identifying potential inhibitors on targeting protein interactions in drug discovery
    Kanakaveti, Vishnupriya
    Shanmugam, Anusuya
    Ramakrishnan, C.
    Anoosha, P.
    Sakthivel, R.
    Rayala, S. K.
    Gromiha, M. Michael
    ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY, VOL 121, 2020, 121 : 25 - 47