In silico approaches for the identification of potential allergens among hypothetical proteins from Alternaria alternata and its functional annotation

被引:2
作者
Sundararaj, Rajamanikandan [1 ]
Mathimaran, Amala [2 ]
Prabhu, Dhamodharan [3 ]
Ramachandran, Balajee [4 ]
Jeyaraman, Jeyakanthan [2 ]
Muthupandian, Saravanan [5 ]
Asmelash, Tsehaye [6 ]
机构
[1] Karpagam Acad Higher Educ, Ctr Drug Discovery, Dept Biochem, Coimbatore 641021, India
[2] Alagappa Univ, Dept Bioinformat, Struct Biol & Biocomp Lab, Karaikkudi 630004, Tamil Nadu, India
[3] Karpagam Acad Higher Educ, Ctr Drug Discovery, Dept Biotechnol, Coimbatore 641021, India
[4] Boston Univ, Chobanian & Avedisian Sch Med, Dept Pharmacol Physiol & Biophys, 700 Albany St, Boston, MA 02118 USA
[5] Saveetha Inst Med & Tech Sci SIMATS, Saveetha Dent Coll, Dept Pharmacol, Chennai 600077, India
[6] Mekelle Univ, Coll Hlth Sci, Dept Med Microbiol & Immunol, Mekelle, Tigray, Ethiopia
关键词
Alternaria alternata; AlgPred; SDAP; Structure-function relationship and drug discovery; CHITIN-BINDING PROTEIN; THAUMATIN-LIKE PROTEINS; SERRATIA-MARCESCENS; MOUSE MODEL; EXPRESSION; PREDICTION; DATABASE; POLLEN; IGE; POLLUTION;
D O I
10.1038/s41598-024-55463-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Direct exposure to the fungal species Alternaria alternata is a major risk factor for the development of asthma, allergic rhinitis, and inflammation. As of November 23rd 2020, the NCBI protein database showed 11,227 proteins from A. alternata genome as hypothetical proteins (HPs). Allergens are the main causative of several life-threatening diseases, especially in fungal infections. Therefore, the main aim of the study is to identify the potentially allergenic inducible proteins from the HPs in A. alternata and their associated functional assignment for the complete understanding of the complex biological systems at the molecular level. AlgPred and Structural Database of Allergenic Proteins (SDAP) were used for the prediction of potential allergens from the HPs of A. alternata. While analyzing the proteome data, 29 potential allergens were predicted by AlgPred and further screening in SDAP confirmed the allergic response of 10 proteins. Extensive bioinformatics tools including protein family classification, sequence-function relationship, protein motif discovery, pathway interactions, and intrinsic features from the amino acid sequence were used to successfully predict the probable functions of the 10 HPs. The functions of the HPs are characterized as chitin-binding, ribosomal protein P1, thaumatin, glycosyl hydrolase, and NOB1 proteins. The subcellular localization and signal peptide prediction of these 10 proteins has further provided additional information on localization and function. The allergens prediction and functional annotation of the 10 proteins may facilitate a better understanding of the allergenic mechanism of A. alternata in asthma and other diseases. The functional domain level insights and predicted structural features of the allergenic proteins help to understand the pathogenesis and host immune tolerance. The outcomes of the study would aid in the development of specific drugs to combat A. alternata infections.
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页数:10
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