» Articles » PMID: 19245824

The Use of E-scores to Determine the Quality of Protein Alignments

Overview
Publisher Elsevier
Specialties Pharmacology
Toxicology
Date 2009 Feb 28
PMID 19245824
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

In 2001, the FAO/WHO suggested a procedure for performing FASTA or BLAST searches, and a threshold of greater than 35% identity in 80 or greater amino acids to identify potential allergenic cross-reactivity of transgene encoded proteins in genetically enhanced crops. Transgene encoded proteins meeting or exceeding this threshold would require additional in vitro evaluation for allergy safety. In work described herein, a method to calculate an E-score threshold is proposed for utilizing the full capability of bioinformatics to accurately identify potential cross-reactive allergens. The threshold E-score, 3.9E-07, was produced using a test dataset of 7695 corn protein sequences and a method that entailed FASTA searches of the FARRP 7 allergen database with each of the dataset sequences using a conventional full length and an 80 amino acid sliding window FASTA comparison followed by an evaluation of E-score distribution. The results show that this E-score threshold identifies known corn allergens and it displays a false positive rate for known allergens that is comparable to that obtained from the 2001 FAO/WHO guidance. Furthermore, the E-score threshold is of sufficient stringency that it rejects the majority of false positive, composition-based anomalies and is 100% effective at identifying Bet v 1 cross-reactive allergens.

Citing Articles

The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement.

van Ree R, Sapiter Ballerda D, Berin M, Beuf L, Chang A, Gadermaier G Front Allergy. 2022; 2:700533.

PMID: 35386979 PMC: 8974746. DOI: 10.3389/falgy.2021.700533.


Scientific Opinion on development needs for the allergenicity and protein safety assessment of food and feed products derived from biotechnology.

Mullins E, Bresson J, Dalmay T, Dewhurst I, Epstein M, Firbank L EFSA J. 2022; 20(1):e07044.

PMID: 35106091 PMC: 8787593. DOI: 10.2903/j.efsa.2022.7044.


Hypothesis-based food, feed, and environmental safety assessment of GM crops: A case study using maize event DP-202216-6.

Anderson J, Herman R, Carlson A, Mathesius C, Maxwell C, Mirsky H GM Crops Food. 2021; 12(1):282-291.

PMID: 33472515 PMC: 7833765. DOI: 10.1080/21645698.2020.1869492.


Lysine biofortification in rice by modulating feedback inhibition of aspartate kinase and dihydrodipicolinate synthase.

Yang Q, Yu W, Wu H, Zhang C, Sun S, Liu Q Plant Biotechnol J. 2020; 19(3):490-501.

PMID: 32945115 PMC: 7955878. DOI: 10.1111/pbi.13478.


Identification and in silico bioinformatics analysis of PR10 proteins in cashew nut.

Bastiaan-Net S, Pina-Perez M, Dekkers B, Westphal A, America A, Ariens R Protein Sci. 2020; 29(7):1581-1595.

PMID: 32219913 PMC: 7314402. DOI: 10.1002/pro.3856.