Explorando el diseño de fármacos con IA, la farmacología computacional y la biología programable.
Modelos generativos, AlphaFold y aprendizaje automático acelerando el descubrimiento molecular.
FEP, dinámica molecular, computación cuántica y criomicroscopía en optimización de candidatos.
PROTAC, proteínas programables, profármacos y ADC de nueva generación.
Marcos FDA-EMA, análisis de mercado y economía del descubrimiento de fármacos con IA.
A comprehensive analysis of how generative AI models are transforming de novo molecular design, with the latest methods, tools, and clinical implications.
How DeepMind's AlphaFold 3 is revolutionizing structure-based drug design through protein-ligand complex prediction.
Exploring how AI platforms like PandaOmics identify novel drug targets and accelerate their journey to clinical trials.
A comprehensive guide to ML-based ADMET prediction methods, tools, and their role in reducing late-stage drug failures.
A detailed case study of rentosertib (INS018_055), the first AI-designed drug to reach Phase III clinical trials.
An in-depth analysis of FEP methods for predicting binding free energies and their transformative role in lead optimization.