protein-engineering
There are 21 repositories under protein-engineering topic.
NREL/EvoProtGrad
Directed evolution of proteins in sequence space with gradients
OpenProteinAI/PoET
Inference code for PoET: A generative model of protein families as sequences-of-sequences
tyang816/ProtSSN
Fusion of protein sequence and structural information, using denoising pre-training network for zero-shot protein engineering (eLife 2024).
usnistgov/lantern
Interpretable genotype-phenotype landscape modeling
Protein-Engineering-Framework/PyPEF
PyPEF – Pythonic Protein Engineering Framework
adaptyvbio/automancer
Automancer is a software application that enables researchers to design, automate, and manage their experiments.
niklases/PyPEF
PyPEF – Pythonic Protein Engineering Framework
westlake-repl/ProteinLM-TDG2-Mutation
Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
johnnytam100/awesome-protein-design
A curated list of awesome protein design research, software and resources.
wudangt/awesome-molecular-modeling-and-drug-discovery
A curated list of awesome Molecular Modeling And Drug Discovery 🔥
dacarlin/bagel-project
How to build a large dataset of enzyme variants to evaluate enzyme design algorithms
vector-engineering/fit4function
Systematic Multi-Trait AAV Capsid Engineering for Efficient Gene Delivery (Eid et al., Nature Communications, 2024)
Hollfelder-Lab/lrDMS-IRED
Code, data and notebooks for engineering enzymes with ultra-high throughput microfluidics. Please read our accompanying paper for details.
minotm/NTA
Nucleotide augmentation for machine learning-guided protein engineering (https://doi.org/10.1093/bioadv/vbac094, 2022)
dacarlin/boxi
De novo enzyme design of oxirane:NAD(P)H reductase enzyme
ProteinEngineering-PESB2/RUDEUS
Developing classification models for DNA-Binding proteins through machine learning and large language models
retospect/phagetrix
Phage library sequence generator with degenerate basepairs.
soldatmat/DESilico.jl
Directed Evolution in Silico
ProteinEngineering-PESB2/hfbs-class-models
Developing assembled functional classifications models via optimized machine learning algorithms
ProteinEngineering-PESB2/numerical_representations_protein_seqs
Exploring digital signal processing combined with physicochemical properties support by NLP techniques
soldatmat/PELLM
Protein engineering with large language models