Bioinformatics and Chemometrics for Discovering Biologically Active Peptides From Food Proteins

Kento Imai; Dawei Ji; Ifeanyi D. Nwachukwu; Dominic Agyei; Chibuike C. Udenigwe

doi:10.1016/B978-0-08-100596-5.22878-3

Bioinformatics and Chemometrics for Discovering Biologically Active Peptides From Food Proteins

Kento Imai, Dawei Ji, Ifeanyi D. Nwachukwu, Dominic Agyei, Chibuike C. Udenigwe

School of Public Health

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Comprehensive Foodomics
Publisher	Elsevier
Pages	482-494
Number of pages	13
ISBN (Electronic)	9780128163955
ISBN (Print)	9780128163962
DOIs	https://doi.org/10.1016/B978-0-08-100596-5.22878-3
State	Published - Nov 12 2020

ASJC Scopus Subject Areas

General Biochemistry,Genetics and Molecular Biology

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title = "Bioinformatics and Chemometrics for Discovering Biologically Active Peptides From Food Proteins",

author = "Kento Imai and Dawei Ji and Nwachukwu, {Ifeanyi D.} and Dominic Agyei and Udenigwe, {Chibuike C.}",

note = "Thousands of bioactive peptides have been discovered from protein hydrolysates and the information is stored in databases. To discover bioactive peptides, the classic wet approach is mainly used. In silico approach, on the other hand, uses databases and informatics, and this eliminates trial and error, and saves time and cost associated with the classic approach.",

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AU - Imai, Kento

AU - Ji, Dawei

AU - Nwachukwu, Ifeanyi D.

AU - Agyei, Dominic

AU - Udenigwe, Chibuike C.

N1 - Thousands of bioactive peptides have been discovered from protein hydrolysates and the information is stored in databases. To discover bioactive peptides, the classic wet approach is mainly used. In silico approach, on the other hand, uses databases and informatics, and this eliminates trial and error, and saves time and cost associated with the classic approach.

PY - 2020/11/12

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DO - 10.1016/B978-0-08-100596-5.22878-3

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SN - 9780128163962

SP - 482

EP - 494

BT - Comprehensive Foodomics

PB - Elsevier

ER -

Bioinformatics and Chemometrics for Discovering Biologically Active Peptides From Food Proteins

ASJC Scopus Subject Areas

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