Work

Predictive models of protease specificity based on quantitative protease-activity profiling data

Year: 2019

Type: article

Source: Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics

DOI: 10.1016/j.bbapap.2019.07.006

Authors: Gennady G. Fedonin, Alexey Eroshkin, Piotr Cieplak, Evgenii V. Matveev, Gennady V. Ponomarev, Mikhail S. Gelfand, Boris I. Ratnikov, Marat D. Kazanov

Institutions: Moscow Institute of Physics and Technology, Institute for Information Transmission Problems, Central Research Institute of Epidemiology, Sanford Burnham Prebys Medical Discovery Institute, Volgograd State University, National Research University Higher School of Economics, Skolkovo Institute of Science and Technology, Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: Russian Foundation for Fundamental Investigations, Russian Foundation for Basic Research, National Institutes of Health, Russian Academy of Sciences, National Institute of General Medical Sciences

Awards: G2106504710, De-orphanizing MMPs in intercelluar interactions

OpenAlex ID: W2963536765

FWCI: 0.073

Cites: 29

Cited by: 2

Related to: 10