A Real-World Perspective on Molecular Design.

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Drug Discovery

Background:

• Computational methods are increasingly vital in modern drug discovery.
• Identifying effective computational strategies that provide tangible value to research projects remains a key challenge.

Purpose of the Study:

• To showcase the impact of prospectively applied computational methods in small molecule drug discovery projects at Roche.
• To identify and highlight computational techniques that offer significant added value in drug design and development.

Main Methods:

• Application of diverse computational techniques including molecular conformation analysis, interaction studies, scaffold hopping, and structure-activity relationship (SAR) transfer.
• Utilizing sequence-driven focused screening with preprocessed information to leverage prior knowledge.
• Focus on methods based on molecular conformations and interactions, such as filling lipophilic pockets and adding polar substituents.

Main Results:

• Demonstrated successful application of computational methods across various enzyme and receptor targets.
• Highlighted the value of specific techniques like scaffold hopping and conformation analysis in optimizing drug candidates.
• Showcased how sequence-driven screening, aided by information preprocessing, effectively exploits existing knowledge.

Conclusions:

• Qualitative insights guiding chemists to promising chemical spaces are often more impactful than purely quantitative predictions.
• Computational approaches, when judiciously applied, significantly enhance the efficiency and success rate of small molecule drug discovery.
• The presented case studies underscore the real-world value and applicability of advanced computational strategies in pharmaceutical research.