Evidence map›Paper›PMID 39807173›Full record

ArticleIn silico pharmacology2025

Insights into structural and binding studies of pollen allergen Bet v 1 using computational approaches.

Mansi Pandit, Nandita Narayanasamy, N Latha

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mansi PanditBioinformatics Infrastructure Facility, Sri Venkateswara College (University of Delhi), Benito Juarez Road, Dhaula Kuan, New Delhi, 110021 India.
Nandita NarayanasamyDepartment of Biochemistry, Sri Venkateswara College (University of Delhi), Benito Juarez Road, Dhaula Kuan, New Delhi, 110021 India.
N LathaBioinformatics Infrastructure Facility, Sri Venkateswara College (University of Delhi), Benito Juarez Road, Dhaula Kuan, New Delhi, 110021 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bet v 1, the European White Birch tree pollen allergen is responsible for a number of allergic responses in humans such as rhinitis, asthma and oral allergy syndrome. The allergen belongs to pathogenesis-related (PR) class 10 protein superfamily and exists in several naturally occurring isoforms. Limited structural information on Bet v 1 isoallergens and variants prompted us to carry out their in silico structural characterization. In this study, three-dimensional structures of Bet v 1 isoallergens were predicted followed by allergen-antibody docking with Bet v 1- specific human IgE. Further, molecular dynamics simulations were performed for the allergen-antibody complexes. In addition, in silico mutagenesis was carried out for the design of a hypoallergenic variant of Bet v 1. Our study aimed to elucidate the differential ability of Bet v 1 isoallergens in eliciting allergic responses based on structural features and also identified a potential hypoallergen allowing us to propose it as a promising candidate for treating birch pollen-induced allergy. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-024-00303-3.

Indexed as

Allergen-antibody bindingBirch pollen allergen Bet v 1In silico mutagenesisMolecular dynamics simulationsStructure prediction

Identifiers

PMID39807173
PMCPMC11724816

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.