Loading...
2 results
Search Results
Now showing 1 - 2 of 2
- Present drug-likeness filters in medicinal chemistry during the hit and lead optimization process: how far can they be simplified?Publication . Mignani, Serge; Rodrigues, João; Tomás, Helena; Jalal, Rachid; Singh, Parvinder Pal; Majoral, Jean-Pierre; Vishwakarma, Ram A.During the past decade, decreasing the attrition rate of drug development candidates reaching the market has become one of the major challenges in pharmaceutical research and drug development (R&D). To facilitate the decision-making process, and to increase the probability of rapidly finding and developing high-quality compounds, a variety of multiparametric guidelines, also known as rules and ligand efficiency (LE) metrics, have been developed. However, what are the 'best' descriptors and how far can we simplify these drug-likeness prediction tools in terms of the numerous, complex properties that they relate to?
- Compound high-quality criteria: a new vision to guide the development of drugs, current situationPublication . Mignani, Serge; Huber, Scot; Tomás, Helena; Rodrigues, João; Majoral, Jean-PierreFor several decades, the pharmaceutical industry has suffered due to major issues such as reductions of the number of FDA approved drugs and biologics. Several analyses have been highlighted that the 'druglikeness' is one of the strategies to improve succeed rates of screening such as, for instance, high-throughput screening (HTS), and then hits (as starting point), leads and clinical candidates. It is clear that the improvement of compound quality accelerates the drug discovery projects. The monitoring of several indices to avoid 'molecular obesity' (ADMET problems) of final drugs from good-quality 'low-fat' starting points represents today a powerful strategy of optimization process. The development of the new guides to find drugs highlighting attempts at improving the attrition rate from hits to final medicines by focusing on how to improve the druggability of hits, leads and drugs during the drug discovery process represents a key approach to design next better generation of medicines.