Allergen data | Immunoinformatics

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Gathers information about all allergens and isoforms that are recognized by the International Union of Immunological Societies (IUIS) Allergen Nomenclature Sub-Committee. WHO/IUIS contains allergen sequences, Protein Database numbers, and information on structural features related to allergenicity for a given allergen classified by using a systematic nomenclature based on the Linnean system.

SDAP / Structural Database of Allergenic Proteins

A web server that provides rapid, cross-referenced access to the sequences, structures and IgE epitopes of allergenic proteins. SDAP contains information about the allergen name, source, sequence, structure, IgE epitopes and literature references and easy links to the major protein (PDB, SWISS-PROT/TrEMBL, PIR-ALN, NCBI Taxonomy Browser) and literature (PubMed, MEDLINE) on-line servers. The computational component in SDAP uses an original algorithm based on conserved properties of amino acid side chains to identify regions of known allergens similar to user supplied peptides or selected from the SDAP database of IgE epitopes. This and other bioinformatics tools can be used to rapidly determine potential cross-reactivities between allergens and to screen novel proteins for the presence of IgE epitopes they may share with known allergens.

Allergome

A database to collect in a single web-based resource basic and clinical information, and data about any allergenic organism and its molecular structures capable to induce an IgE-mediated disease. Allergome main goal is to collect a list of allergenic sources and molecules by using the widest selection criteria and sources. A further development of the Allergome platform has been represented by the Real Time Monitoring of IgE sensitization module (ReTiME) that allows uploading of raw data from both in vivo and in vitro testing, thus representing the first attempt to have IT applied to allergy data mining.

ADFS / Allergen Database for Food Safety

Gathers information about allergenic proteins relevant to food safety. ADFS contains information on allergen names, sources, sequences, structures, domains, IgE epitopes, and literature references. This site also provides sequence searching tools that allows users to find sequence homology of a certain protein or peptide related to allergens (protein, epitope search). It includes about 2111 allergen sequences, 227 epitope-known allergens, 155 structure-known allergens and 132 sugar-attached allergens.

AllergenOnline

Aims to furnish information for the evaluation of potential allergenicity of new food proteins produced by genetically modified organisms (GMO) and novel protein ingredients in processed foods. AllergenOnline includes about 2035 sequences from 808 taxonomic-protein groups, annually updated to identify proteins that may require additional tests.

AllFam

Provides information to classify allergens into protein families. AllFam gathers about 1042 allergens shared in 151 families. The database can provide lists of allergen families filtered by source and route of exposure. Moreover, the database contains a list of allergens and an allergen family fact sheet with information on biochemical properties and the allergologic significance of its allergenic members for each family.

AllergenPro / NABIC AllergenPro database

An integrated web-based system providing information about allergen in foods, microorganisms, animals and plants. AllergenPro has the three main features namely, (1) allergen list with epitopes, (2) searching of allergen using keyword, and (3) methods for allergenicity prediction. AllergenPro outputs the search based allergen information through a user-friendly web interface, and users can run tools for allergenicity prediction using three different methods namely, (1) FAO/WHO, (2) motif-based and (3) epitope-based methods.

AllerBase

Provides information about allergens and allergen related features like IgE-binding epitopes, IgE antibodies and cross-reactivity. AllerBase numbers about 2388 allergens including WHO/IUIS Allergen Nomenclature Sub-committee recognized allergens and experimentally validated allergens from various sources like plants, animals or fungi. Each allergen is represented by nine informative allergen attributes.

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Yashwanth Subbannayya

Metabolomics YU-IOB Center for Systems Biology and Molecular Medicine, Mangalore, India

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Dr. Yashwanth Subbannayya obtained his M.Sc. degree in Medical Biochemistry from Manipal University. He qualified the competitive CSIR-UGC National Eligibility Test and joined the Institute of Bioinformatics, Bangalore as a UGC Junior Research Fellow. As part of his Ph.D. work, he studied the molecular mechanisms of gastric cancer in clinical specimens using quantitative proteomic technologies. This study, the results of which were published in Cancer Biology and Therapy, yielded a novel therapeutic target for gastric cancer- CAMKK2. Further, he also studied the serum proteome of gastric cancer patients and developed assays for potential markers using the revolutionary multiple reaction monitoring approach. The results of this study were published in Journal of Proteomics. In addition to his research work, he also trained extensively in sample preparation for mass spectrometry, fractionation techniques and gained expertise in quantitative proteomic techniques and data analysis. In addition, he also trained extensively in various validation platforms including immunohistochemsitry, multiple reaction monitoring and Western blot. He has also worked as a curator for several biological databases including NetPath, Human Protein Reference Database (HPRD) and Breast cancer database. His work in various research projects have yielded him 23 publications either as lead author or co-author in peer reviewed journals. He is a reviewer for the journal Proteomics. Dr. Yashwanth Subbannayya joined the YU-IOB Center for Systems Biology and Molecular Medicine in June, 2015. During the initial period, his job consisted of assisting other personnel of the university in the establishment of YU-IOB Center for Systems Biology and Molecular Medicine. He was also involved in training of Ph.D. students in biological aspects. After the establishment of the center, he trained in cell culture techniques and metabolomics analysis. At YU-IOB CSBMM, he is studying the molecular mechanisms in various cancers including oral cancer. In addition, he is studying the molecular mechanisms as well as the metabolic constituents of traditional medicine formulations using mass spectrometry technologies. In June 2016, he convened the national symposium “Genomics in clinical practice: Future of precision medicine” held at Yenepoya University on June 1 and 2, 2016. The resource persons included 16 individuals from various academic organizations as well as industry. The symposium was attended by 218 participants from 24 institutions around India. He is a member of the Scientific Review Board of Yenepoya Research Centre where he facilitates timely scientific review of research projects.