Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
PocketGen (Nature Machine Intelligence 24): Generating Full-Atom Ligand-Binding Protein Pockets
Protein Language Model
ProtFlash: A lightweight protein language model
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
FAPLM: A Drop-in Efficient Pytorch Implementation of Protein Language Models
SaprotHub: Making Protein Modeling Accessible to All Biologists
Directed evolution of proteins in sequence space with gradients
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
Exploring Evolution-aware & free protein language models as protein function predictors
Inference code for PoET: A generative model of protein families as sequences-of-sequences
Detection of remote homology by comparison of protein language model representations
Protein language model trained on coding DNA
PaccMann models for protein language modeling
SPECTRA: Spectral framework for evaluation of biomedical AI models
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction
AutoML system for building trustworthy peptide bioactivity predictors
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