title: In silico allergenicity prediction of several lipid transfer proteins.
abstract: Non-specific lipid transfer proteins (nsLTPs) are common allergens and they are particularly widespread within the plant kingdom. They have a highly conserved three-dimensional structure that generate a strong cross-reactivity among the members of this family. In the last years several web tools for the prediction of allergenicity of new molecules based on their homology with known allergens have been released, and guidelines to assess potential allergenicity of proteins through bioinformatics have been established. Even if such tools are only partially reliable yet, they can provide important indications when other kinds of molecular characterization are lacking. The potential allergenicity of 28 amino acid sequences of LTPs homologs, either retrieved from the UniProt database or in silico deduced from the corresponding EST coding sequence, was predicted using 7 publicly available web tools. Moreover, their similarity degree to their closest known LTP allergens was calculated, in order to evaluate their potential cross-reactivity. Finally, all sequences were studied for their identity degree with the peach allergen Pru p 3, considering the regions involved in the formation of its known conformational IgE-binding epitope. Most of the analyzed sequences displayed a high probability to be allergenic according to all the software employed. The analyzed LTPs from bell pepper, cassava, mango, mungbean and soybean showed high homology (>70%) with some known allergenic LTPs, suggesting a potential risk of cross-reactivity for sensitized individuals. Other LTPs, like for example those from canola, cassava, mango, mungbean, papaya or persimmon, displayed a high degree of identity with Pru p 3 within the consensus sequence responsible for the formation, at three-dimensional level, of its major conformational epitope. Since recent studies highlighted how in patients mono-sensitized to peach LTP the levels of IgE seem directly proportional to the chance of developing cross-reactivity to LTPs from non-Rosaceae foods, and these chances increase the more similar the protein is to Pru p 3, these proteins should be taken into special account for future studies aimed at evaluating the risk of cross-allergenicity in highly sensitized individuals.
authors.affiliation: Dipartimento di Scienze del Farmaco & Drug and Food Biotechnology (DFB) Center, Università del Piemonte Orientale "A. Avogadro", largo Donegani 2, 28100 Novara, Italy. Electronic address: garino@uniupo.it.
authors.forename: Cristiano
authors.initials: C
authors.lastname: Garino
authors.affiliation: Dipartimento di Scienze del Farmaco & Drug and Food Biotechnology (DFB) Center, Università del Piemonte Orientale "A. Avogadro", largo Donegani 2, 28100 Novara, Italy. Electronic address: coisson@uniupo.it.
authors.forename: Jean Daniel
authors.initials: JD
authors.lastname: Coïsson
authors.affiliation: Dipartimento di Scienze del Farmaco & Drug and Food Biotechnology (DFB) Center, Università del Piemonte Orientale "A. Avogadro", largo Donegani 2, 28100 Novara, Italy. Electronic address: arlorio@uniupo.it.
authors.forename: Marco
authors.initials: M
authors.lastname: Arlorio
mesh_terms: D000485:Allergens / Q000737:chemistry* / Q000276:immunology*; D052179:Antigens, Plant / Q000737:chemistry* / Q000276:immunology*; D002352:Carrier Proteins / Q000737:chemistry* / Q000276:immunology*; D003198:Computer Simulation; D019992:Databases as Topic; D010940:Plant Proteins / Q000737:chemistry* / Q000276:immunology*; D017386:Sequence Homology, Amino Acid
chemical_list: D000485:Allergens; D052179:Antigens, Plant; D002352:Carrier Proteins; D010940:Plant Proteins; C511920:lipid transfer proteins, plant
keywords: Allergenicity prediction; Cross-reactivity; In silico analysis; LTP