Unraveling the physicochemical differences among Osborne protein classes via bioinformatics and AI.
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| Title: | Unraveling the physicochemical differences among Osborne protein classes via bioinformatics and AI. |
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| Authors: | Kwon H; Department of Grain Science and Industry, Kansas State University, Manhattan, KS 66506, USA., Xu Y; Healthy Processed Foods Research Unit, Western Regional Research Center, USDA-ARS, Albany, CA, USA., Xu X; Department of Statistics, Kansas State University, Manhattan, KS 66056, USA; 1DATA Consortium, www.1DATA.life, Kansas State University Olathe, Olathe, KS 66061, USA., Li Y; Department of Grain Science and Industry, Kansas State University, Manhattan, KS 66506, USA. Electronic address: yonghui@ksu.edu. |
| Source: | Food research international (Ottawa, Ont.) [Food Res Int] 2025 Dec; Vol. 221 (Pt 2), pp. 117322. Date of Electronic Publication: 2025 Aug 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7145 (Electronic) Linking ISSN: 09639969 NLM ISO Abbreviation: Food Res Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-7145 |
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| DOI: | 10.1016/j.foodres.2025.117322 |
