Work

Efficient design of peptide-binding polymers using active learning approaches

Year: 2022

Type: article

Source: Journal of Controlled Release

DOI: 10.1016/j.jconrel.2022.11.023

Authors: Assima Rakhimbekova, Anton Lopukhov, Natalia Klyachko, Alexander Kabanov, Timur I. Madzhidov, Alexander Tropsha

Institutions: Kazan Federal University, Lomonosov Moscow State University, University of North Carolina at Chapel Hill

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funder: Russian Science Foundation

Award: G847967368

OpenAlex ID: W4309438657

FWCI: 0.872

Cites: 53

Cited by: 13

Related to: 10