Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
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Updated
Jun 6, 2024 - Jupyter Notebook
Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
Repo for "Evolution on rugged adaptive landscapes"
A tool for multiscale forward-time simulation of protein evolution.
SAPIENZ^div @ SSBSE 2019: Does Diversity Improve the Test Suite Generation for Mobile Applications?
The W-Model, a tunable Black-Box Discrete Optimization Benchmarking (BB-DOB) problem, implemented for the BB-DOB@GECCO Workshop.
Fitness estimates of SARS-CoV-2 variants
Blender/Bullet automatic parameter tuning/learning.
Software for inferring the intrinsic fitness landscape of poliovirus capsid protein (vp1) and comparing it with that of analogous proteins in HIV
Software library providing fitness landscape functionality in R.
Bridging Elementary Landscapes and a Geometric Theory of Evolutionary Algorithms: First Steps (PPSN 2018)
Exploring evolutionary protein fitness landscapes
NKCS model for exploring aspects of (surrogate-assisted) coevolution.
A from-scratch replication of David Prosser's (2022) Correlated Behaviours and Environment Selection models of the Baldwin effect
Exact neighborhood closure and neutral-plateau certification for discrete local search.
The graph-based fitness landscape analysis framework
Code and reproducibility artifacts for PRISM: A Predictive Protocol for Permutation Optimization via Landscape Diagnostics (arXiv:2608.08344)
Physics-constrained trajectory planning on measured antibody fitness landscapes
GFlowNets for in-silico directed evolution: sampling diverse, feasible, high-fitness sequence variants rather than hill-climbing to one. Exact-ground-truth benchmarks (Ehrlich functions, GB1), multi-objective rewards, and a design-build-test-learn campaign loop under an evaluation budget.
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