| Title |
In Silico functional and phylogenetic analyses of fungal immunomodulatory proteins of some edible mushrooms
|
|---|---|
| Published in |
AMB Express, December 2022
|
| DOI | 10.1186/s13568-022-01503-w |
| Pubmed ID | |
| Authors |
Ayyagari Ramlal, Aveek Samanta |
| Abstract |
Mushrooms 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Researcher | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Nursing and Health Professions | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Engineering | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2022.
All research outputs
#15,767,805
of 23,420,064 outputs
Outputs from AMB Express
#458
of 1,255 outputs
Outputs of similar age
#230,912
of 433,120 outputs
Outputs of similar age from AMB Express
#4
of 24 outputs
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So far Altmetric has tracked 1,255 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.