Directed evolution of proteins in sequence space with gradients
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Updated
Jul 11, 2024 - Python
Directed evolution of proteins in sequence space with gradients
Inference code for PoET: A generative model of protein families as sequences-of-sequences
Interpretable genotype-phenotype landscape modeling
Fusion of protein sequence and structural information, using denoising pre-training network for protein engineering (zero-shot).
PyPEF – Pythonic Protein Engineering Framework
Automancer is a software application that enables researchers to design, automate, and manage their experiments.
A curated list of awesome protein design research, software and resources.
PyPEF – Pythonic Protein Engineering Framework
Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
A curated list of awesome Molecular Modeling And Drug Discovery 🔥
How to build a large dataset of enzyme variants to evaluate enzyme design algorithms
Code, data and notebooks for engineering enzymes with ultra-high throughput microfluidics. Please read our accompanying paper for details.
Nucleotide augmentation for machine learning-guided protein engineering (https://doi.org/10.1093/bioadv/vbac094, 2022)
Phage library sequence generator with degenerate basepairs.
De novo enzyme design of oxirane:NAD(P)H reductase enzyme
Systematic Multi-Trait AAV Capsid Engineering for Efficient Gene Delivery (Eid et al., Nature Communications, 2023)
Developing classification models for DNA-Binding proteins through machine learning and large language models
Directed Evolution in Silico
Developing assembled functional classifications models via optimized machine learning algorithms
Protein engineering with large language models
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