Work

Uncovering the taste features: Applying machine learning and molecular docking approaches to predict umami taste intensity of peptides

Year: 2024

Type: article

Source: Food Bioscience

DOI: 10.1016/j.fbio.2024.105358

Authors: Mariia S. Ashikhmina, Artemii M. Zenkin, Igor S. Pantiukhin, Igor G. Litvak, Pavel V. Nesterov, Kunal Dutta, Sergey Shityakov, Michael Nosonovsky, Maxim A. Korablev-Dyson, Olga Y. Orlova, Sviatlana A. Ulasevich, Ekaterina V. Skorb

Institutions: ITMO University, Russian Academy of Sciences

Language: English

Topic: Biochemical Analysis and Sensing Techniques

Subfield: Nutrition and Dietetics

Field: Nursing

Domain: Health Sciences

SDG: Zero hunger

Open Access status: closed

Funders: Ministry of Education and Science of the Russian Federation, Government Council on Grants, Russian Federation

Award: G4958131933

OpenAlex ID: W4403904005

FWCI: 2.751

Cites: 60

Cited by: 12

Related to: 10