Protein homology reveals new targets for bioactive small molecules

被引:10
|
作者
Gfeller, David [1 ,2 ]
Zoete, Vincent [2 ]
机构
[1] Univ Lausanne, Ludwig Ctr Canc Res, Dept Fundamental Oncol, CH-1066 Epalinges, Switzerland
[2] SIB, Quartier Sorge, CH-1015 Lausanne, Switzerland
关键词
WEB SERVER; PHYLOGENETIC TREES; DRUG DISCOVERY; IDENTIFICATION; PREDICTION; SIMILARITY; COMPOUND; SEQUENCE; DATABASE; GENOME;
D O I
10.1093/bioinformatics/btv214
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: The functional impact of small molecules is increasingly being assessed in different eukaryotic species through large-scale phenotypic screening initiatives. Identifying the targets of these molecules is crucial to mechanistically understand their function and uncover new therapeutically relevant modes of action. However, despite extensive work carried out in model organisms and human, it is still unclear to what extent one can use information obtained in one species to make predictions in other species. Results: Here, for the first time, we explore and validate at a large scale the use of protein homology relationships to predict the targets of small molecules across different species. Our results show that exploiting target homology can significantly improve the predictions, especially for molecules experimentally tested in other species. Interestingly, when considering separately orthology and paralogy relationships, we observe that mapping small molecule interactions among orthologs improves prediction accuracy, while including paralogs does not improve and even sometimes worsens the prediction accuracy. Overall, our results provide a novel approach to integrate chemical screening results across multiple species and highlight the promises and remaining challenges of using protein homology for small molecule target identification.
引用
收藏
页码:2721 / 2727
页数:7
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