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Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation

Harini Narayanan, Fabian Dingfelder, Alessandro Butté, Nikolai Lorenzen, Michael Sokolov, Paolo Arosio

2021Trends in Pharmacological Sciences156 citationsDOI

Topics & Concepts

Context (archaeology)Artificial intelligenceComputer scienceMachine learningChemical spaceBiochemical engineeringDrug discoveryEngineeringBioinformaticsBiologyPaleontologyViral Infectious Diseases and Gene Expression in InsectsProtein purification and stabilityvaccines and immunoinformatics approaches
Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation | Litcius