Bioinformatics analysis of Rickettsia typhi autoimmune associations and screening of Streptomyces-derived inhibitors

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Journal
BioData Mining
Published
2025-11-28
DOI
https://doi.org/10.1186/s13040-025-00499-w
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

Bioinformatics analysis of Rickettsia typhi autoimmune associations and screening of Streptomyces-derived inhibitors

Muhammad Salman, Seil Kim, İbrar Ahmed, Hanan A. Ogaly et al.
BioData Mining
vaccines and immunoinformatics approaches
article

Bioinformatics analysis of Rickettsia typhi autoimmune associations and screening of Streptomyces-derived inhibitors

Muhammad Salman, Seil Kim, İbrar Ahmed, Hanan A. Ogaly, Calvin R. Wei, Zarrin Basharat, Yasir Waheed, Fatimah A. M. Al‐Zahrani, Syed Shah Hassan, Madiha Islam
article en

Abstract

No abstract available for this paper.
BioData MiningVol. 18(1)
Chulalongkorn University (TH), University of Karachi (PK), Hazara University (PK), Korea Research Institute of Standards and Science (KR), Alpha Technologies (Canada) (CA), International Center for Chemical and Biological Sciences (PK), Korea Research Institute of Chemical Technology (KR), Near East University (CY), King Khalid University (SA), Széchenyi István University (HU), Korea University of Science and Technology (KR), National University of Sciences and Technology (PK)
National Research Foundation, National Research Foundation of Korea, King Khalid University
Openalex Percentile: Top 66%
vaccines and immunoinformatics approaches
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Bioinformatics analysis of Rickettsia typhi autoimmune associations and screening of Streptomyces-derived inhibitors — Muhammad Salman, Seil Kim, et al. · BioData Mining (2025) | TGRS Research Map | TGRS