Protein Language Models
Predicts protein, DNA, RNA, and ligand complexes
Candido et al. 2026
Design de novo protein binders against a target
ESM-C 6B protein language model
Design linear peptide binders
Chen et al.
Protein language model
Jain et al.
Language models to recommend mutations for increased antibody binding affinity
Hie et al.
Conditionally generate artificial enzymes
Illanes-Vicioso et al.
Mutate nanobody sequences
Xiong et al.
Generate antibody sequences
Kuan et al.
ESM-2 based kcat, Km, and Ki prediction
Boorla et al.
Language models for protein property prediction
Su et al.
Codon language model
Heuschkel et al.
Solubility and usability based on protein language models
Thumuluri V et al.
Nanobody melting temperature prediction
Alvarez et al.
Absolute protein stability (ΔG) prediction from structure
Cho et al.
Protein aggregation propensity prediction
Eschbach et al.
Amyloid nucleation propensity prediction
Thompson et al.
Antibody polyreactivity prediction
Protein thermostability prediction
Pudžiuvelytė et al.
Generate mutations with directed evolution
Emami et al.
Mutate protein complexes with structure-informed language model
Varun R. Shanker et al. et al.
Predict protein structure given a sequence
Lin et al.
SaProt finetuning
Protein sequence property prediction finetuning
Schmirler et al.
Sequence-based crystallization predictor. Mean-ensemble of LightGBM classifiers trained on ESM2 T30-150M and ESM2 T36-3B embeddings.
Mall et al.
Predict protein function
Gligorijevic et al.
Antibody language model
Olsen et al.
Singh et al.
Optimize antibody/nanobody sequence affinity
Ruffolo et al.
Predict protein melting temperature
Jung et al.
Generate ESM2 Embeddings
Generate Prot T5 Embeddings
Elnaggar et al.
Score point mutations or mask residues using ESM-2 language model
Score using AMPLIFY language model
Fournier et al.
Score point mutations using BALM-paired language model
Burbach et al.
Score point mutations using ESM1b language model
Finetune generative protein language model
H. Hrbáň and D. Hoksza et al.
De novo antibody generation from antigen sequence using language models
Wasdin P.T. et al.
Generate light chain sequences conditioned on heavy chain using machine learning
Capel H.W. et al.
Finetune a dynamics-aware protein language model on your data
Kalifa et al.
Protein family language model
Wells et al.