Anshul Kundaje#1675
Characterizing AI-designed proteins requires quantitative biochemistry at massive scale. Enter Amplicon/Protein Bead Display (APB-Display), a fully in vitro platform that quantifies Kd's for >100,000 variants in <3 days (preprint link below!) @Stanford_ChEMH @czbiohub (1/n)
Great collaboration with Daria, @avgupta_me @fordycelab
Characterizing AI-designed proteins requires quantitative biochemistry at massive scale. Enter Amplicon/Protein Bead Display (APB-Display), a fully in vitro platform that quantifies Kd's for >100,000 variants in <3 days (preprint link below!) @Stanford_ChEMH @czbiohub (1/n)
New paper out on APB-Display (100k protein variants in <3 days)! By combining large-scale protein interaction measurements with deep learning, we denoise large protein-protein binding datasets and find epistatic interactions that shape binding affinity.
Proud to be a part of this work with @fordycelab, @anshulkundaje, and Daria Passow.
Characterizing AI-designed proteins requires quantitative biochemistry at massive scale. Enter Amplicon/Protein Bead Display (APB-Display), a fully in vitro platform that quantifies Kd's for >100,000 variants in <3 days (preprint link below!) @Stanford_ChEMH @czbiohub (1/n)
Anshul Kundaje#1675Characterizing AI-designed proteins requires quantitative biochemistry at massive scale. Enter Amplicon/Protein Bead Display (APB-Display), a fully in vitro platform that quantifies Kd's for >100,000 variants in <3 days (preprint link below!) @Stanford_ChEMH @czbiohub (1/n)
Users praise Stanford researchers for unveiling APB-Display because it quantifies Kd values for over 100000 protein variants.