pLM4Alg: Protein Language Model-Based Predictors for Allergenic Proteins and Peptides-Reference-Cited by-同舟云学术

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pLM4Alg: Protein Language Model-Based Predictors for Allergenic Proteins and Peptides

Published:2023-12-19 Issue:1 Volume:72 Page:752-760
ISSN:0021-8561
Container-title:Journal of Agricultural and Food Chemistry
language:en
Short-container-title:J. Agric. Food Chem.

Author:

Du Zhenjiao¹^ORCID,Xu Yixiang²^ORCID,Liu Changqi³^ORCID,Li Yonghui¹^ORCID

Affiliation:

1. Department of Grain Science and Industry, Kansas State University, Manhattan, Kansas 66506, United States

2. Healthy Processed Foods Research Unit, Western Regional Research Center, USDA-ARS, Albany, California 94710, United States

3. School of Exercise and Nutritional Sciences, San Diego State University, San Diego, California 92182, United States

Funder

National Institute of Food and Agriculture

U.S. Department of Agriculture

Kansas Agricultural Experimental Station

Publisher

American Chemical Society (ACS)

Subject

General Agricultural and Biological Sciences,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.3c07143

Reference45 articles.

1. Epithelial barrier hypothesis: Effect of the external exposome on the microbiome and epithelial barriers in allergic disease

2. Advances and highlights in biomarkers of allergic diseases

3. Advances and novel developments in mechanisms of allergic inflammation

4. Future research trends in understanding the mechanisms underlying allergic diseases for improved patient care

5. AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes

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3. Comparative Seed Proteome Profile Reveals No Alternation of Major Allergens in High-Yielding Mung Bean Cultivars;Journal of Agricultural and Food Chemistry;2024-06-05

4. Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning;Journal of Chemical Information and Modeling;2024-05-13

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