Work

TopScore: Using Deep Neural Networks and Large Diverse Data Sets for Accurate Protein Model Quality Assessment

Year: 2018

Type: article

Source: Journal of Chemical Theory and Computation

DOI: 10.1021/acs.jctc.8b00690

Authors: Daniel Mulnaes, Holger Gohlke

Institutions: Heinrich Heine University Düsseldorf, Forschungszentrum Jülich, John von Neumann Institute for Computing, Jülich Supercomputing Centre

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft

Award: G1234483526

OpenAlex ID: W2894445194

FWCI: 1.413

Cites: 49

Cited by: 29

Related to: 10