To kill a piroplasm: genetic technologies to advance drug discovery and target identification in Babesia

被引:16
|
作者
Keroack, Caroline D. [1 ]
Elsworth, Brendan [1 ,2 ]
Duraisingh, Manoj T. [1 ]
机构
[1] Harvard TH Chan Sch Publ Hlth, 651 Huntington Ave, Boston, MA 02115 USA
[2] Univ Melbourne, Sch Biosci, Royal Parade, Parkville, Vic 3052, Australia
基金
英国医学研究理事会;
关键词
Babesia; Apicomplexan; Drug discovery; Drug target identification; Target validation; Genetics; IN-VITRO CULTIVATION; DEPENDENT PROTEIN-KINASE; MALARIA BOX REVEALS; RED-BLOOD-CELLS; PLASMODIUM-FALCIPARUM; THEILERIA-ANNULATA; DIHYDROOROTATE DEHYDROGENASE; TRANSCRIPTIONAL ACTIVATION; IMIDOCARB DIPROPIONATE; INVITRO CULTIVATION;
D O I
10.1016/j.ijpara.2018.09.005
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
Babesia parasites infect a diverse range of vertebrate hosts, from penguins to pigs. Recently, the emergence of zoonotic Babesia infection has been increasing, and the list of species reported to infect humans continues to grow. Babesiosis represents a burgeoning veterinary and medical threat, and the need for novel therapeutic drugs to effectively target this diverse group of parasites is pressing. Here, we review the current culture systems that exist to study and manipulate Babesia parasites, and identify the scope and methods for target discovery and validation to identify novel, potent anti-babesial inhibitors. Challenges exist including difficulties in the culture systems of important zoonotic parasites, and there is a lack of integrated morphological and molecular data. While molecular approaches in several Babesia spp. has become a reality, the ability to rapidly identify and validate drug targets is hindered by a lack of sophisticated genetic tools to probe parasite biology. The minimal genome size and haploid nature of blood-stage Babesia parasites presents an opportunity to adapt techniques from related systems and characterise the druggable genomic space in a high-throughput way. The considerable diversity of parasites within the genus suggests the existence of highly divergent biology and polymorphism that could present a formidable barrier to the development of a pan-babesiacidal therapeutic strategy. (C) 2018 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:153 / 163
页数:11
相关论文
共 22 条
  • [1] Target identification and validation in drug discovery: the role of proteomics
    Kopec, KK
    Bozyczko-Coyne, D
    Williams, M
    BIOCHEMICAL PHARMACOLOGY, 2005, 69 (08) : 1133 - 1139
  • [2] Application of chemical biology in target identification and drug discovery
    Zhu, Yue
    Xiao, Ting
    Lei, Saifei
    Zhou, Fulai
    Wang, Ming-Wei
    ARCHIVES OF PHARMACAL RESEARCH, 2015, 38 (09) : 1642 - 1650
  • [3] Application of chemical biology in target identification and drug discovery
    Yue Zhu
    Ting Xiao
    Saifei Lei
    Fulai Zhou
    Ming-Wei Wang
    Archives of Pharmacal Research, 2015, 38 : 1642 - 1650
  • [4] Robust Target Identification for Drug Discovery
    Jacobsen, Elling W.
    Nordling, Torbjorn E. M.
    IFAC PAPERSONLINE, 2016, 49 (07): : 815 - 820
  • [6] Transgenesis in Drug Discovery: Enhancing Target Identification and Validation
    Mete, Rumela
    Das, Sourav
    Saha, Arindam
    Roy, Sukanta
    Mondal, Smritilekha
    Bose, Anirbandeep
    Basu, Biswajit
    Elossaily, Gehan M.
    Prajapati, Bhupendra
    MOLECULAR BIOTECHNOLOGY, 2025,
  • [7] Therapeutic Target Identification and Drug Discovery Driven by Chemical Proteomics
    Zou, Mingjie
    Zhou, Haiyuan
    Gu, Letian
    Zhang, Jingzi
    Fang, Lei
    BIOLOGY-BASEL, 2024, 13 (08):
  • [8] Target identification and mechanism of action in chemical biology and drug discovery
    Schenone, Monica
    Dancik, Vlado
    Wagner, Bridget K.
    Clemons, Paul A.
    NATURE CHEMICAL BIOLOGY, 2013, 9 (04) : 232 - 240
  • [9] Machine learning in Alzheimer's disease drug discovery and target identification
    Geng, Chaofan
    Wang, ZhiBin
    Tang, Yi
    AGEING RESEARCH REVIEWS, 2024, 93
  • [10] Using reverse docking for target identification and its applications for drug discovery
    Lee, Aeri
    Lee, Kyoungyeul
    Kim, Dongsup
    EXPERT OPINION ON DRUG DISCOVERY, 2016, 11 (07) : 707 - 715