Learning Functional Properties Of Proteins With Language Models

• DOI: 10.5281/zenodo.5795850
• Publication Date: 2022-03-21
• Authors: Serbulent, Unsal; Ata��, Heval; Albayrak, Muammer; Turhan, Kemal; Acar, Aybar C.; Do��an, Tunca
• Keywords: 0301 basic medicine; Protein representation; 03 medical and health sciences; MSA; 0206 medical engineering; Protein embedding; SKEMPI; 02 engineering and technology

This dataset includes; - Precomputed representation vectors of human proteins with various protein embedding models. - Precomputed representation vectors of SKEMPI dataset with various protein embedding models. - MSAs of human proteins calculated with HHBlits. -- Splitted tar.gz files can be opened by command; cat human_protein_msa.tar.gz.* | tar xzvf - - MSAs of protein sequences of SKEMPI dataset calculated with HHBlits.