Prospects for develo** allergen‐depleted food crops
In addition to the challenge of meeting global demand for food production, there are
increasing concerns about food safety and the need to protect consumer health from the …
increasing concerns about food safety and the need to protect consumer health from the …
DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins
C He, X Ye, Y Yang, L Hu, Y Si, X Zhao… - Briefings in …, 2023 - academic.oup.com
Allergies have become an emerging public health problem worldwide. The most effective
way to prevent allergies is to find the causative allergen at the source and avoid re …
way to prevent allergies is to find the causative allergen at the source and avoid re …
pLM4Alg: Protein Language Model-Based Predictors for Allergenic Proteins and Peptides
The rising prevalence of allergy demands efficient and accurate bioinformatic tools to
expedite allergen identification and risk assessment while also reducing wet experiment …
expedite allergen identification and risk assessment while also reducing wet experiment …
SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features
Allergy is a hypersensitive condition in which individuals develop objective symptoms when
exposed to harmless substances at a dose that would cause no harm to a “normal” person …
exposed to harmless substances at a dose that would cause no harm to a “normal” person …
A deep learning based ensemble approach for protein allergen classification
In recent years, the increased population has led to an increase in the demand for various
industrially processed edibles and other consumable products. These industries regularly …
industrially processed edibles and other consumable products. These industries regularly …
Comparative Analysis of pKa Predictions for Arsonic Acids Using Density Functional Theory-Based and Machine Learning Approaches
Arsonic acids (RAsO (OH) 2), prevalent in contaminated food, water, air, and soil, pose
significant environmental and health risks due to their variable ionization states, which …
significant environmental and health risks due to their variable ionization states, which …
MD-LAIs Software: Computing Whole-Sequence and Amino Acid-Level “Embeddings” for Peptides and Proteins
E Contreras-Torres… - Journal of Chemical …, 2024 - ACS Publications
Several computational tools have been developed to calculate sequence-based molecular
descriptors (MDs) for peptides and proteins. However, these tools have certain limitations: 1) …
descriptors (MDs) for peptides and proteins. However, these tools have certain limitations: 1) …
Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework
Plant-allergenic proteins (PAPs) have the potential to induce allergic reactions in certain
individuals. While these proteins are generally innocuous for the majority of people, they can …
individuals. While these proteins are generally innocuous for the majority of people, they can …
Seed storage allergens tackled via next-generation research assistant
The expanding consumption of plant proteins in the diet to overcome the environmental
issues associated with animal proteins is increasing the incidence of food-induced allergic …
issues associated with animal proteins is increasing the incidence of food-induced allergic …
Potential honey bee (Apis mellifera) allergens associated with IgE-mediated allergy-An In-silico study
Allergies due to honeybee venom (HBV) are reported to be the second most common form
of allergy to Hymenoptera venom that occurs after being stung. Indeed, 15–20% of people …
of allergy to Hymenoptera venom that occurs after being stung. Indeed, 15–20% of people …