Computational drug discovery and design integrates advanced computer‐aided methodologies with chemical and biological insights to accelerate the identification and optimisation of therapeutic agents.

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established ...

About 30% of all respiratory tract infections are caused by coronaviruses, leading to widespread illnesses and, in some cases, to epidemic and even pandemic outbreaks, as we experienced with the COVID ...

Southwest Research Institute scientists and engineers have developed a custom large language model (LLM) to accelerate drug design and discovery. Subscribe to our newsletter for the latest sci-tech ...

Drug discovery research is undergoing a rapid transformation driven by technological advances, including artificial intelligence (AI) and automation. Traditionally time-consuming and complex processes ...

Powered by PandaOmics, Insilico’s proprietary generative biology AI platform, the joint R&D team comprising Insilico Medicine and Sanofi colleagues focused on highly novel targets known to be ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

Even though AI-designed drugs aren’t yet a household term for FDA-approved, commercially available therapies, they are a reality in clinical development pipelines. In spring 2024, CBER reported more ...

Computational drug discovery and design embodies the integration of advanced computational methods, machine learning, and cheminformatics to streamline the identification and optimisation of ...