Key features

Unique descriptors and mathematical algorithms

High speed of predictions

Easy-to-use interface

Selection of the most predictive models

Estimation which parts of a molecule provide positive and negative impact to the activity

Saving GUSAR output predictions in SDF and CSV formats for subsequent analyses

Uploading of SD files for batch predictionsNGS data analysis is supported by the platform. ChIP-seq data sets containing in vivo transcription factor binding sites or methylation results can be analyzed with the help of ready-made workflows. Galaxy tools are integrated, supporting RNA-seq data analysis, and many functions more.