Allerdictor
Web“…Allerdictor [98] is web server that specializes in large-scale allergen discovery. It models protein sequences as text documents and employs SVM in text classification for carrying out allergen prediction [99] .…” Section: Machine Learning-based Approaches mentioning confidence: 99% Databases and Algorithms in Allergen Informatics Kadam 1, WebMay 5, 2014 · Researchers have developed a new artificial intelligence software system designed to predict potential allergens from broad genomic data, according to a recent study. “As more biotechnology ...
Allerdictor
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WebMar 28, 2024 · Recommended name. BAH and coiled-coil domain-containing protein 1. Curated. Alternative names. Bromo adjacent homology domain-containing protein 2 ( BAH domain-containing protein 2) WebMar 20, 2024 · These allergens are also known to be involved in several diseases to humans such as eczema, asthma, cancer, etc. Several experimental and computational studies have been conducted to gain knowledge of food allergens, its molecular mechanism and to devise the ways to avoid or minimise these allergies.
WebAllerdictor: Fast allergen prediction using text classification techniques Dang H.X. Lawrence C.B. Bioinformatics, 2014 Motivation: Accurately identifying and eliminating … WebDive into the research topics of 'Allerdictor: Fast allergen prediction using text classification techniques'. Together they form a unique fingerprint. Sort by Weight Alphabetically Mathematics. Text Classification 100%. Prediction 46%. Protein Sequence 32%. Genome 25%. Web Server 20%. Feature Vector 17%. Biotechnology 17% ...
WebNational Center for Biotechnology Information WebJan 1, 2024 · The critical and essential step for computational vaccinology is to design vaccine construct/s by randomly placing the epitopes and joined them with proper linkers. The vaccine construct must be safe and effective. To achieve this, the newly designed construct/s need to be checked for its antigenicity, allergenicity, toxicity, solubility and ...
WebDang_HX_D_2014.pdf (18.14Mb) Downloads: 457. Supporting documents (356.7Kb)
WebJan 7, 2014 · Results: We developed Allerdictor, a fast and accurate sequence-based allergen prediction tool that models protein sequences as text documents and uses … synching data from prominence pokerWebAdditional Predictors (not retrained since their original publication):. BEpro: Discontinuous B-cell Epitope Predictor (formerly known as PEPITO) (2008) SELECTpro: Protein Model Selection Using a Structure-Based Energy Function (2008); FOLDpro: Protein Fold Recognition and Template-Based 3D Structure Predictor (2006); TMBpro: … sync pending in onedrivesynchronized wait notifyWebSep 13, 2024 · Allerdictor is a pattern-based allergy prediction software that interprets sequence data as a textual information and detects allergens through text classification using support vector machines [ 11 ]. Cross-React was a computational framework approach for predicting allergenic protein’s cross-reactivity. synchronous integrationWebJun 25, 2024 · For example, Allerdictor only took ∼6 minutes on a single core PC to scan a whole Swiss-Prot database of ∼540 thousand sequences and identified <1% of them as allergens. Allerdictor is ... sync directory to onedriveWebBesides, Allerdictor tool was employed to find out whether these proposed epitopes showed any kind of allergenicity (Dang and Lawrence, 2014). It is a fast and accurate sequence-based allergen prediction tool that models protein sequences as text documents and employs support vector machine for allergen prediction. Selection of best possible B synchronopsisWebAug 8, 2024 · The commonly known HSTs are AAL-, AK-, AM-, AF-, ACR-, and ACT-toxins which are named by their host specificity and these toxins are classified into different family groups. The HSTs are differentiated on the basis of … synchronicity science