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Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data
Code for "A complete map of specificity encoding enables reprogramming of a protein interaction" by Taraneh Zarin, Cristina Hidalgo-Carcedo and Ben Lehner
Programmed translational readthrough produces C-terminally extended protein isoforms via decoding of stop codons by near-cognate tRNAs. Here we use deep mutational scanning to quantify ~1,400 sequence variants for each of the three examples of human readthrough in the genes AQP4, MAPK10 and OPRK1.
This repository contains all code to reproduce the analyses and figures in the OpenSplice paper. OpenSplice quantifies the impact of >590,000 variants on the splicing of 608 human exons using massively parallel site-saturation mutagenesis in minigene constructs.
TF-MAPS: fast high-resolution functional and allosteric mapping of DNA-binding proteins.
Source code for analyses and to reproduce all figures in the following publication: The effects of PDZ domain extensions on energies, energetic couplings and allostery (Hidalgo-Carcedo C & Faure AJ et al., 2023)
Companion scripts for DMS data processing, dose-response curve fitting and figure reproduction ("The genetic architecture of an allosteric hormone receptor", Stammnitz & Lehner, biorXiv 2025)
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