Predictive modeling

Problem

As a pharmaceutical startup working on a drug discovery platform that aims to identify and optimise novel therapeutic compounds for specific targets, you have preliminary compound libraries but need assistance in analysing these libraries, integrating them with public chemical databases (e.g., ChEMBL, PubChem), and developing predictive models for compound activity to improve the quality and applicability of this library.

What can we offer

gt-omics will deliver a tailored data analysis and software solution to support the drug discovery pipeline

Such a solution can consist of 

• Data Analysis: Conducting preliminary analyses of compound libraries, including cross-referencing with public chemical databases to identify potential candidates.

• Algorithm Development: Implementing machine learning models to predict compound activity and optimise lead selection based on multiple objectives.

• Product Strategy: Collaborating with the startup to refine the product strategy for their drug discovery platform based on a thorough data analysis.

• Cloud-Based Processing: Utilising cloud services for scalable and efficient processing of large compound datasets and algorithm computations.

• Prototype Creation: Developing a prototype of the data analysis pipeline for integration in the drug discovery platform along with comprehensive documentation for further development.