protein-language-model

Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

PocketGen (Nature Machine Intelligence 24): Generating Full-Atom Ligand-Binding Protein Pockets

ProTrek: illuminating the Protein Universe through Trimodal Protein Language Model (Connecting text and protein)

FAPLM: A Drop-in Efficient Pytorch Implementation of Protein Language Models

Protein Language Model

Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval

Inference code for PoET: A generative model of protein families as sequences-of-sequences

ProtFlash: A lightweight protein language model

Easy, fast, and memory-efficient structure prediction inference

Detection of remote homology by comparison of protein language model representations

Exploring Evolution-aware & free protein language models as protein function predictors

Protein language model trained on coding DNA

PaccMann models for protein language modeling

AutoML system for building trustworthy peptide bioactivity predictors

MSAGPT

LatentDE: Latent-based Directed Evolution for Protein Sequence Design

Code and model weights for PoET-2, a retrieval-augmented multimodel protein language model for protein sequence generation and representation learning

pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction

🎈 Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance (Journal of Chemical Information and Modeling 2024).

🧬 Large-scale protein functional residue or fragment prediction benchmark. (ICLR 2026)