Welcome to DRIP

Aside from the coding RNAs that act as the template for protein translation, more and more non-coding RNAs are being discovered to be direct participators in diverse biological processes. Naturally, their malfunctions have been linked to various diseases, which makes RNA emerges as an appealing target for drug development. Drawbacks exist in anti-sense oligonucleotides, the current strategy to hit RNA. In addition, developing small molecule drugs that act on RNAs rather than proteins has been seriously taken only recently. However, other than the laborious screening experiments, there is a paucity of computational methods for predicting the RNA-small molecule interaction. Here we introduce a computational tool DRIP (Drug-RNA Interaction Predictor) that evaluates the interaction propensity between small molecule and RNA with random forest model integrating features from small molecule and RNA sequence.

Contact us

Dr. Qinghua Cui Department of Biomedical Informatics Peking University Health Science Center 38 Xueyuan Rd, Beijing 100191 China Email: cuiqinghua(at)hsc.pku.edu.cn

DRIP is free only for academic usage. For commercial usage, please contact Dr. Qinghua Cui.