Matthew Segall

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drug discovery software decision analysis predictive adme in silico computational chemistry artificial intelligence medicinal chemistry cheminformatics de novo design 3d drug design metabolism prediction generative chemistry biotechnology research drug discovery compound generation compound optimisation adme properties 3d molecular design predictive modelling ai-guided discovery machine learning structure-activity relationships molecular docking data analysis sar analysis qsar models metabolism insights probabilistic scoring virtual library enumeration data visualisation high-throughput screening toxicity prediction binding affinity prediction structure-based design ligand-based design chemoinformatics chemical space exploration visualisation tools multi-parameter optimisation data-driven decision making predictive analytics experimental prioritisation automated synthesis virtual screening chemical libraries molecular modelling macrocyclic lead optimisation r-group analysis matched pair analysis activity landscape analysis conformational analysis scaffold hopping interactive charts dynamic visualisation computer-aided drug design bioinformatics target activity chemical compound analysis synthesis strategies admet visual feedback information technology & services data analytics enterprise software enterprises computer software b2b biotechnology