Computational guided identification of novel anti-mycobacterial agent proved by in-vitro and in-vivo validation.
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| Title: | Computational guided identification of novel anti-mycobacterial agent proved by in-vitro and in-vivo validation. |
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| Authors: | Shalaby MM; Microbiology & Immunology Department, Faculty of Pharmacy, Egyptian Russian University, Cairo, Egypt. mohab-shalaby@eru.edu.eg., Samir R; Microbiology & Immunology Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt. reham.samer@pharma.cu.edu.eg., Ibrahim KA; Microbiology & Immunology Department, Faculty of Pharmacy, Egyptian Russian University, Cairo, Egypt., Elkhamissy TR; Microbiology & Immunology Department, Faculty of Pharmacy, Egyptian Russian University, Cairo, Egypt., Rammadan MA; Microbiology & Immunology Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt. |
| Source: | BMC microbiology [BMC Microbiol] 2025 Sep 18; Vol. 25 (1), pp. 576. Date of Electronic Publication: 2025 Sep 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100966981 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2180 (Electronic) Linking ISSN: 14712180 NLM ISO Abbreviation: BMC Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2180 |
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| DOI: | 10.1186/s12866-025-04361-1 |
