Deep learning models for organic compound solubility and interactions prediction

Tasks

• Provide expert services in pharmaceutical R&D for developing deep learning models for drug discovery, including predictions of organic compound solubility and interactions with proteins and DNA.

Challenges

Solutions

• Specialized service combining ML expertise with chemistry and drug discovery.
• Development and deployment of deep learning models to predict organic compound solubility and interactions with proteins/DNA.
• Utilization of extensive datasets and advanced algorithms for accurate insights.
• Seamless integration with existing R&D workflows to ensure minimal disruption.
• Continuous support and model updates for adapting to new data and research needs.

Outcomes

• Achieve a 15-20% reduction in research time and costs, accelerating the drug discovery process and improving the success rate of potential drug candidates.

Technologies Used