🧬 Augmenting zero-shot mutant prediction by retrieval-based logits fusion. (ISMB/ECCB 2025)
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Updated
Apr 25, 2026 - Python
🧬 Augmenting zero-shot mutant prediction by retrieval-based logits fusion. (ISMB/ECCB 2025)
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
Inference code for PoET: A generative model of protein families as sequences-of-sequences
🧬 Fusion of protein sequence and structural information, using denoising pre-training network for zero-shot protein engineering (eLife 2025).
Interpretable genotype-phenotype landscape modeling
Automancer is a software application that enables researchers to design, automate, and manage their experiments.
PyPEF – Pythonic Protein Engineering Framework
PLMFit platform for TL on PLMs
PyPEF – Pythonic Protein Engineering Framework
JAX/Equinox implementation of ProteinMPNN and LigandMPNN for protein sequence design
Structural biology superpowers for AI coding agents: PyMOL, ChimeraX, AlphaFold DB, RCSB PDB, UniProt, and Rosetta workflows.
Analysing Sequence Activity Relationships (SARs) of protein sequences 🔬 and their mutants using Machine Learning. 💻
Protein Diversification and Generation through Yielded mutations (Prodigy) Protein is an end-to-end platform for plug and play protein engineering
Infrastructure for facilitating variant effect prediction using machine learning. Data class to combine assay, sequence, MSA and structure data to a coherent data package. Model cards for supervised and zeroshot ML models.
Nucleotide augmentation for machine learning-guided protein engineering (https://doi.org/10.1093/bioadv/vbac094, 2022)
Protein Language model for AAV capsid generation.
Interpretable ranking and layered screening for generated protein backbone candidates.
AI-agent toolkit for structural biology: design binders, map structures, screen candidates, rank results, and prepare cloud-scale runs.
QC and tag-site scoring for designed protein binders from predicted complexes.
equimol: a library for E(n)-equivariant neural networks for molecular and protein models
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