Allergen Protein or Peptide Prediction Tools

This section showcases advanced computational tools designed to predict allergenic proteins and peptides, aiding in allergenicity research and analysis.

Name	Year	Description	PubMed ID
AlgPred 2.0	2021	A method for predicting allergenic proteins and mapping of IgE epitopes.	33201237
Hassan G Ashok Kumar et al	2014	Comparative analysis of allergenic features of sapodilla acidic thaumatin-like protein with other allergenic plant TLPs.	24091295
SPADE	2019	A web service for prediction of allergen IgE epitopes.	31066444
AllerCatPro 2.0	2022	A web server for predicting protein allergenicity potential.	35640594
DeepAlgPro	2023	An interpretable deep neural network model for predicting allergenic proteins.	37385595
pLM4Alg	2024	Protein language model-based predictors for allergenic proteins and peptides.	38113537
CDpred	2023	Tool for identifying celiac disease-related epitopes and motifs within protein sequences.	36742312
ALLERDET	2022	A novel web app for predicting protein allergenicity.	36244612
ProAll-D	2022	Protein allergen detection using a long short-term memory deep learning approach.	36131892
SEP-AlgPro	2024	An efficient allergen prediction tool utilizing traditional and deep learning techniques with protein language model features.	38871100
iAller	2023	A prediction tool combining multiple features to identify allergenic proteins.	37928245
Kento Goto et al.	2023	Machine learning method identifying statistically significant allergen-specific patterns in protein sequences.	37086787
PreAlgPro	2024	Prediction of allergenic proteins using a pre-trained protein language model and efficient neural network.	39322150
AllergenAI	2024	A deep learning model for predicting allergenicity based on protein sequence.	38979176
AllerTool	2007	A web server for predicting allergenicity and allergic cross-reactivity in proteins.	17150996
AllerHunter	2009	SVM-Pairwise system for assessing allergenicity and allergic cross-reactivity in proteins.	19516900
PREAL	2013	Prediction of allergenic proteins using maximum Relevance Minimum Redundancy (mRMR) feature selection.	24565053
AllerTOP v.2	2014	A server for in silico prediction of allergens.	24878803
AllergenFP	2014	Allergenicity prediction using descriptor fingerprints.	24167156
Allermatch	2004	A web tool for predicting potential allergenicity following FAO/WHO Codex Alimentarius guidelines.	15373946
Michael B. Stadler et al.	2003	Tool for predicting allergenicity based on protein sequence.	12709401
Anna Zorzet et al.	2002	Tool for predicting allergenic potential of food proteins using bioinformatics approaches.	12611632
AllerTrans	2024	An improved protein allergenicity prediction model using deep learning.	Link
Joost Westerhout et al.	2019	Development of a Random Forest model for predicting allergenicity of novel and modified proteins.	31310847
Allerdictor	2014	Fast allergen prediction using text classification techniques.	24403538
Arun Kumar et al.	2023	A deep learning-based ensemble approach for protein allergen classification.	37869456
SORTALLER	2012	Predicts allergens using an optimized algorithm based on allergen family peptides.	22692221
Joo Chuan Tong et al.	2008	Prediction of protein allergenicity using local descriptions of amino acid sequences.	18508644
StackPAP	2024	Accelerates identification of allergenic potential using stacked ensemble-learning frameworks.	38385478
EVALLER	2007	A web server for in silico assessment of protein allergenicity potential.	17537818
Ivan Dimitrov et al.	2014	Predicts allergenicity using artificial neural networks.	Link
Waiming Kong et al.	2007	Improved allergenicity prediction by combining multiple sequence motifs.	17688432
Hassan Mohabatkar et al.	2013	Uses Chou's pseudo amino acid composition and machine learning for allergen prediction.	22931491
AllerHybrid	2021	A hybrid system predicting allergens using k-mer and physicochemical properties.	Link
Sumbal Nawaz et al.	2021	Predicts allergenic and non-allergenic proteins via Chou's 5-step rule.	Link
Sher Signh et al.	2019	Improves allergenic protein prediction using physicochemical features of non-redundant sequences.	Link
AllerScreener	2020	A server for predicting allergenicity and cross-reactivity in proteins.	Link
Miroslava Nedyalkova et al.	2023	Sequence-based prediction of plant allergenic proteins using machine learning.	36743013 \| Link
Liyang Wang et al.	2021	Comparative analysis of deep learning and ensemble learning models for predicting food protein allergenicity.	33918556
Charalambos Chrysostomou et al.	2014	Predicts allergenicity of proteins using signal-processing bioinformatics techniques.	25570082
Charalambos Chrysostomou	2023	Uses deep learning to classify allergenic proteins with amino acid indices.	Link
Juan Cui et al.	2007	Computer prediction of allergen proteins from sequence-derived protein structural and physicochemical properties.	16563508
WebAllergen	2005	A web server for predicting allergenic proteins based on protein sequences.	15746289
Kandaswamy Krishna Kumar et al.	2008	Identifies allergenic proteins using SVM methods with evolutionary information.	18317576