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预测与疟疾药物发现相关的恶性疟原虫靶标空间。

Prediction of the P. falciparum target space relevant to malaria drug discovery.

机构信息

Chemotargets SL and Systems Pharmacology, Research Programme on Biomedical Informatics (GRIB), IMIM Hospital del Mar Research Institute and Universitat Pompeu Fabra, Parc de Recerca Biomèdica, Barcelona, Catalonia, Spain.

出版信息

PLoS Comput Biol. 2013;9(10):e1003257. doi: 10.1371/journal.pcbi.1003257. Epub 2013 Oct 17.

Abstract

Malaria is still one of the most devastating infectious diseases, affecting hundreds of millions of patients worldwide. Even though there are several established drugs in clinical use for malaria treatment, there is an urgent need for new drugs acting through novel mechanisms of action due to the rapid development of resistance. Resistance emerges when the parasite manages to mutate the sequence of the drug targets to the extent that the protein can still perform its function in the parasite but can no longer be inhibited by the drug, which then becomes almost ineffective. The design of a new generation of malaria drugs targeting multiple essential proteins would make it more difficult for the parasite to develop full resistance without lethally disrupting some of its vital functions. The challenge is then to identify which set of Plasmodium falciparum proteins, among the millions of possible combinations, can be targeted at the same time by a given chemotype. To do that, we predicted first the targets of the close to 20,000 antimalarial hits identified recently in three independent phenotypic screening campaigns. All targets predicted were then projected onto the genome of P. falciparum using orthologous relationships. A total of 226 P. falciparum proteins were predicted to be hit by at least one compound, of which 39 were found to be significantly enriched by the presence and degree of affinity of phenotypically active compounds. The analysis of the chemically compatible target combinations containing at least one of those 39 targets led to the identification of a priority set of 64 multi-target profiles that can set the ground for a new generation of more robust malaria drugs.

摘要

疟疾仍然是最具破坏性的传染病之一,影响着全球数以亿计的患者。尽管有几种已确立的药物可用于治疗疟疾,但由于耐药性的快速发展,仍迫切需要具有新作用机制的药物。当寄生虫设法使药物靶点的序列发生突变,以至于蛋白质仍能在寄生虫中发挥其功能但不能再被药物抑制时,就会出现耐药性,此时药物几乎无效。设计针对多种必需蛋白质的新一代抗疟药物将使寄生虫更难产生完全耐药性,而不会致命地破坏其一些重要功能。挑战在于确定在数百万种可能的组合中,哪一组疟原虫蛋白可以同时被给定的化学型靶向。为此,我们首先预测了最近在三项独立表型筛选实验中发现的近 20000 种抗疟药物的靶点。然后,使用同源关系将所有预测的靶点投影到疟原虫基因组上。总共预测了 226 种疟原虫蛋白至少会被一种化合物击中,其中 39 种蛋白被表型活性化合物的存在和亲和力程度显著富集。对包含至少一个这些 39 个靶点的化学兼容的靶标组合进行分析,确定了 64 个多靶标特征的优先级集,这可以为新一代更强大的抗疟药物奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ab/3798273/39db55b0e95b/pcbi.1003257.g001.jpg

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