Work

Learning Functional Properties of Proteins with Language Models

Year: 2020

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5795849

Authors: Serbulent, Unsal, Ataş, Heval, Albayrak, Muammer, Turhan, Kemal, Acar, Aybar C., Doğan, Tunca

Institutions: Middle East Technical University, Karadeniz Technical University

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4287629316

FWCI: 0.081

Cites:

Cited by: 1

Related to: 10