Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
PocketGen (Nature Machine Intelligence 24): Generating Full-Atom Ligand-Binding Protein Pockets
Protein Language Model
FAPLM: A Drop-in Efficient Pytorch Implementation of Protein Language Models
ProtFlash: A lightweight protein language model
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
Making Protein Modeling Accessible to All Biologists
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
Directed evolution of proteins in sequence space with gradients
Inference code for PoET: A generative model of protein families as sequences-of-sequences
Exploring Evolution-aware & free protein language models as protein function predictors
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.
AutoML system for building trustworthy peptide bioactivity predictors
🎈 Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance (Journal of Chemical Information and Modeling 2024).
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