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What Biology Can Learn from Physics

Codon

Predictive Models A “ sequence-to-function ” predictive model – an algorithm that determines a protein’s likely function solely by looking at the DNA sequence encoding it – is the natural successor to AlphaFold2. A predictive model for sequence-to-expression would raise the “hit” rates.

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What Biology Can Learn from Physics

Codon

Predictive Models A “ sequence-to-function ” predictive model – an algorithm that determines a protein’s likely function solely by looking at the DNA sequence encoding it – is the natural successor to AlphaFold2. A predictive model for sequence-to-expression would raise the “hit” rates.

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What to expect from PEGS Europe 2023: Day 2

Drug Discovery World

Klaus Wagenbauer, PhD, Founder & CEO, Plectonic, on: ‘Programmable DNA-origami-based T cell engagers: PTE’. They will present on expression and characterisation of novel GCN-related N-acetyltransferases by Nucleras rapid protein assess system.