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Independent, Previous Senior Vice President and Head of Translational Sciences at Bayer Pharmaceuticals
Preclinical Strategies to Reduce Attrition Rates in Drug Discovery Improving attrition rates in drug discovery is critical to making the process more efficient, cost-effective, and successful. There are several strategies and approaches that can help reduce attrition rates: 1. Enhanced Target Validation - Genomic and Proteomic Research: Utilize advanced genomic and proteomic techniques to better understand the biology of disease targets. - CRISPR and RNA Interference: Use gene-editing tools to validate target involvement in disease pathways. - Bioinformatics: Leverage computational models to predict target-drug interactions and off-target effects. 2. Optimized Lead Selection - High-Throughput Screening (HTS): Implement HTS to rapidly identify promising lead compounds. - Structure-Based Drug Design: Use structural biology techniques, such as X-ray crystallography and NMR, to design drugs that precisely interact with targets. - Computational Chemistry: Employ in silico methods to predict pharmacokinetic and pharmacodynamic properties. 3. Improved Predictive Modeling - Machine Learning and AI: Utilize machine learning algorithms to predict drug efficacy and safety profiles. - Big Data Analytics: Analyze large datasets to identify patterns and correlations that can inform drug development. - In Silico Toxicology: Predict potential toxic effects using computational models. 4. Better Preclinical Models - Humanized Preclinical Models: Develop and implement preclinical models that better mimic human physiology and disease. - Organoids and Tissue Chips: Use 3D cultures and organ-on-a-chip technology to study drug effects in more human-like environments. - Advanced Imaging Techniques: Implement sophisticated imaging methods to monitor drug effects in real time. By integrating these strategies early on, pharmaceutical companies may be able to improve the success rates of their drug candidates, ultimately leading to more effective and safer therapies reaching the market. Small companies with their power to innovate may pave the way for new technologies and AI / machine learning approaches and may thus play a critical role in the efforts to come to innovative medicines which are urgently needed for many patients. #pharma #drugdiscovery Kantify Lena Biosciences PhenoVista Elsevier