We present here an approach to protein design that combines (i) scarce functional information such as experimental data (ii) evolutionary information learned from a natural sequence variants and (iii) physics-grounded modeling. Using a Restricted Boltzmann Machine (RBM). we learn a sequence model of a protein family. We use semi-supervision to leverage available functional information... https://partsdutchbroers.shop/product-category/parts/
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment.
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