Drug Discovery Platforms

Drug Discovery Platforms

Compute-Aided Drug Design

We are extensively engaged in our clients' novel drug discovery initiatives, delivering top-tier and efficient medicinal chemistry design solutions. The present technology is already being deployed in various real-world applications, including homology modeling for targets devoid of crystal structures, scaffold hopping in lead compounds, fragment-based drug design, and molecular docking. These applications are effectively improving the efficacy and success probability of our project R&D.
  • Based on conventional computer aided drug design (CADD)
    Applications in new drug discovery
    Through the adoption of strategies in computer-aided drug design, including virtual high throughput screening (VHTS), structure-based drug design (SBDD), fragment-based drug design (FBDD), and quantitative structure-activity relationships (QSAR), we're able to notably curtail the duration of project research and development. This approach amplifies our design and R&D efficiency, subsequently driving down costs.
  • Artificial intelligence-assisted computer based drug design (AIDD)
    Applications in new drug discovery
    Leveraging artificial intelligence in the design of new drugs significantly expedites the drug development process and increases the likelihood of successful outcomes. Moreover, it enables effective prediction of drug side effects such as pharmacological activity and safety profiles. The key application areas of integrating artificial intelligence into pharmaceutical research and development span from high-throughput screening for drug target prediction and drug design to forecasting crucial properties of drugs, including their absorption, distribution, metabolism, excretion, and toxicity.
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