CoReGMC: Computational Resources for Genetically Modified Crops
Genetically Modified Crops

Nutritional Protein Tools

This page provides a comprehensive list of computational tools for the analysis and prediction of nutritional and antioxidant properties of proteins and peptides. These tools leverage advanced machine learning models and bioinformatics techniques to facilitate research in nutrition, food science, and bioinformatics.

Name Year Description PubMed ID
AnOxPP 2023 Predicts antioxidant peptides using QSAR with bidirectional LSTM neural network and interpretable amino acid descriptors. 36701965
StackedEnC-AOP 2024 Predicts antioxidant proteins using evolutionary and sequential features with stacked ensemble learning. 39098908
AnOxPePred 2020 Deep learning tool for predicting antioxidative properties of peptides. 33293615
A. Deka et al. 2023 In silico tool to predict ACE-inhibitory and antioxidant peptides from storage proteins of edible seeds and nuts. Link
DeepGenAntiOxidantPeptide 2024 Designs antioxidant peptides using machine learning and DFT studies. 38499731
AODB 2023 A comprehensive database of antioxidants, including small molecules, peptides, and proteins. 37001349
iAnOxPep 2024 Machine learning model for identifying anti-oxidative peptides using ensemble learning. 39527436
L. Zhang et al. 2016 Predicts antioxidant proteins based on sequence data using a classifier selection strategy. 27662651
AOPs-XGBoost 2022 Machine learning model using XGBoost for predicting antioxidant protein properties of peptides. Link
C. Tachie et al. 2023 Machine learning models to predict the quality of plant-based foods. 38115895
ANPS 2024 Server for identifying anti-nutritional proteins in plants using machine learning. 39453508
IDAod 2018 Identifies antioxidant proteins using deep learning based on sequence information. 30294271
StackPAP 2024 Uses stacked ensemble learning to predict the allergenic potential of plant proteins. 38385478
CDPred 2023 Identifies celiac disease-associated epitopes and motifs in proteins. 36742312
DeepDigest 2021 Deep learning tool for predicting protein proteolytic digestion. 33826301