Christohper Housseman

The primary challenge of most early stage hit-discovery or scaffold-hopping drug discovery and development projects is to identify novel chemical matter with Freedom to Operate (FTO), while simultaneously optimizing the physico-chemical properties that are crucial for robust activity…

For early-stage drug discovery projects, having structural information on a target of interest can be crucial for project development…

While the predictive performance of supervised learning models has improved over the years, the interpretability of modern machine learning algorithms remains poorly understood, especially in computational chemistry…

Use of artificial intelligence (AI) in chemistry has the potential for a transformative impact on the field of drug design and discovery…

Use of artificial intelligence (AI) in chemistry has the potential for a transformative impact on the field of drug design and discovery…

Hit discovery is often the first and most critical step in a drug discovery campaign upon target identification and characterization…