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ZENODO
Dataset . 2019
Data sources: ZENODO
ZENODO
Dataset . 2019
Data sources: Datacite
ZENODO
Dataset . 2019
Data sources: Datacite
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PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands

Authors: Kaur, Dilraj; Patiyal, Sumeet; Raghava, Gajendra;

PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands

Abstract

PRRDB 2.0: Pattern-Recognition Receptors & Ligands Database Welcome to the official repository for PRRDB 2.0, a comprehensive and manually curated database of pattern-recognition receptors (PRRs) and their ligands. This resource is designed for researchers working in immunology, innate immunity, host-pathogen interactions, computational biology, and bioinformatics. Web Server: https://webs.iiitd.edu.in/raghava/prrdb2/ Citation Kaur, D., Patiyal, S., Sharma, N., Usmani, S. S., & Raghava, G. P. S. (2019).PRRDB 2.0: A comprehensive database of pattern-recognition receptors and their ligands.Database, 2019, baz076.https://doi.org/10.1093/database/baz076 https://github.com/Piyushh1104/PRRDB2.0.git About the Database PRRDB 2.0 is an updated version of the original PRRDB database that maintains detailed information on pattern-recognition receptors (PRRs) and their ligands, including pathogen-associated molecular patterns (PAMPs). The database compiles experimentally validated information collected from research articles and public biological databases. It provides comprehensive annotations related to receptor classification, ligands, structures, sequences, origin, and immune functions. The database was manually curated from: Research articles Public biological databases Swiss-Prot PubChem Protein Data Bank (PDB) Key Features Large Curated Dataset ~2700 total entries 467 unique PRRs 827 unique PAMPs Data curated from ~600 research articles ~4500 experimentally determined structures linked from PDB

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average