Directed evolution of proteins in sequence space with gradients
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Updated
Oct 18, 2025 - Jupyter Notebook
Directed evolution of proteins in sequence space with gradients
🧬 Fusion of protein sequence and structural information, using denoising pre-training network for zero-shot protein engineering (eLife 2025).
Protein Design by Machine Learning guided Directed Evolution
LatentDE: Latent-based Directed Evolution for Protein Sequence Design
TeBaAb: Text-Based Antigen-Conditioned Antibody Redesign via Directed Evolution
Computational model of laboratory directed evolution + experiments.
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
Directed Evolution of Proteins via Bayesian Optimization in Embedding Space
Directed Evolution in Silico
GenLoop — a closed generative drug-design loop on dtSFM; directed evolution of small molecules (Reddy 2026). Generate → encoder-rerank → AlphaFold-3 verify → LoRA-refine.
Unified Python library and CLI for protein structure prediction and inverse folding.
ProtEvolveLab — Interactive Protein Language Model & In-Silico Directed Evolution Laboratory. 6 modules: amino acid embeddings, NK fitness landscapes, directed evolution simulator, epistasis mapper, MCTS protein designer, strategy arena. Zero dependencies.
Generates randomly generated fastQ files from a template and upstream sequence.
Calculates the probability of finding the top variant in a library of sequences.
A protocol for directed code evolution orchestration, with a reference implementation and conformance suite
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