Protein Language Models
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
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
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
Su 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 point mutations using ESM1b language model
Mallet et. al
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
Protein family language model
Wells et. al