Unlock the power of data
Our data scientists are committed to improving your efficiencies and simplifying your analysis process. We provide data science services that accelerate the identification of promising compounds and targets helping reduce your R&D expenditure and increase your accuracy.
Our data scientists analyze, visualize, and model large amounts of data to meet your research goals. We incorporate five phases to maximize data harnessing:
HIT calling algorithm on DEL selection data
The client’s objective was to identify unique binders to the pool of target proteins via a functional HIT-calling algorithm on DNA-encoded library (DEL) selection data. Due to the compounds’ library size (in millions), the client required a pragmatic statistical method to reliably detect target-specific enrichment.
We started with a detailed analysis of the low read count data generated from the Next-generation sequencing (NGS) processing pipeline. We chose an appropriate normalization algorithm to mitigate the risk of selecting false positives or dropping false negatives, and we applied differentially expressed genes (DEG) concepts based on the contrast sheet. The pipeline was built to be scalable and could be used for identifying binders or non (weak) binders. For additional accuracy, we even implemented notions stemming from the chemical structure space.
Our work with the client produced a fully functional automated pipeline that identified true hits from DNA-encoded library (DEL) selection output data, even in cases where the raw number count is low.
Led by science, driven by data
We’re a young, agile, cross-functional team of computational biologists, biologists, pharmacologists, and medicinal chemists. We’re tech natives and understand the power of data in the discovery to drug development value chain.
We leverage the power of artificial intelligence (AI) and machine learning (ML) to develop customized data solutions for R&D challenges.
A partner that can scale to your needs
We’re the partner of choice for leading global pharmaceutical and biotechnology companies, delivering over 125+ data science projects.