In Silico functional and phylogenetic analyses of fungal immunomodulatory proteins of some edible mushrooms

Author:

Ramlal AyyagariORCID,Samanta Aveek

Abstract

AbstractMushrooms are a well known source of many bioactive and nutritional compounds with immense applicability in both the pharmaceutical and food industries. They are widely used to cure various kinds of ailments in traditional medicines. They have a low amount of fats and cholesterol and possess a high number of proteins. Immunomodulators have the ability which can improve immunity and act as defensive agents against pathogens. One such class of immunomodulators is fungal immunomodulatory proteins (FIPs). FIPs have potential roles in the treatment of cancer, and immunostimulatory effects and show anti-tumor activities. In the current study, 19 FIPs from edible mushrooms have been used for comparison and analysis of the conserved motifs. Phylogenetic analysis was also carried out using the FIPs. The conserved motif analysis revealed that some of the motifs strongly supported their identity as FIPs while some are novel. The fungal immunomodulatory proteins are important and have many properties which can be used for treating ailments and diseases and this preliminary study can be used for the identification and functional characterization of the proposed novel motifs and in unraveling the potential roles of FIPs for developing newer drugs.

Publisher

Springer Science and Business Media LLC

Subject

Applied Microbiology and Biotechnology,Biophysics

Reference82 articles.

1. Ahmad S, Chitkara P, Khan FN, Kishan A, Alok V, Ramlal A, Mehta S (2021) Mobile Technology Solution for COVID-19: Surveillance and Prevention. In: Raza K (ed) Computational intelligence methods in COVID-19: surveillance, prevention, prediction and diagnosis. Studies in computational intelligence, vol 923. Springer, Singapore

2. Armenteros JJA, Salvatore M, Emanuelsson O, Winther O, Von Heijne G, Elofsson A, Nielsen H (2019) Detecting sequence signals in targeting peptides using deep learning, vol 5. Life Sci Allian, Woodbury

3. Bailey TL, Johnson J, Grant CE, Noble WS (2015) The MEME suite. Nuc Acid Res 43(W1):W39–W49

4. Bains A, Chawla P, Kaur S, Najda A, Fogarasi M, Fogarasi S (2021) Bioactives from mushroom: health attributes and food industry applications. Materials 14(24):7640

5. Berlanas C, Ojeda S, López-Manzanares B, Andrés-Sodupe M, Bujanda R, del Pilar Martínez-Diz M, Diaz-Losada E, Gramaje D (2020) Occurrence and diversity of black-foot disease fungi in symptomless grapevine nursery stock in Spain. Plant Dis 104(1):94–104

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3