Integrative transcriptomic and systems biology analysis of public SLE datasets identifies immune regulatory pathways.

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Bibliographic Details
Title: Integrative transcriptomic and systems biology analysis of public SLE datasets identifies immune regulatory pathways.
Authors: Saleem K; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan.; Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan., Paracha RZ; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan. rehanzfr@gmail.com.; Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan. rehanzfr@gmail.com.; Riphah Institute of Pharmaceutical Sciences, Riphah International University, Islamabad, Pakistan. rehanzfr@gmail.com., Khalid L; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan., Manzoor A; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan., Nisar M; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan.; Air University, E-9 Campus, Islamabad, Pakistan., Murad D; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan., Din NM; School of Interdisciplinary Engineering and Science (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan., Amir A; Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan.
Source: Journal of computer-aided molecular design [J Comput Aided Mol Des] 2026 Jun 15; Vol. 40 (1). Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE
Database: MEDLINE Ultimate
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