From sequence to function through structure: Deep learning for protein design
Noelia Ferruz, Michael Heinzinger, Mehmet Akdel, Alexander Goncearenco, Luca Naef, Christian Dallago
Abstract
-generated sequences to their predicted properties and web-powered visualization within minutes, and 3) leverage it to suggest a generated protein sequence which might be used to engineer a biosynthetic gene cluster to produce a molecular glue-like compound. Lastly, we discuss challenges and highlight opportunities for the protein design field.
Topics & Concepts
Computer scienceLeverage (statistics)Pipeline (software)Artificial intelligenceProtein designSynthetic biologyDeep learningFunction (biology)Data scienceComputational biologyProtein structureProgramming languageBiologyEvolutionary biologyBiochemistryProtein Structure and DynamicsComputational Drug Discovery MethodsMachine Learning in Bioinformatics