Computational identification of natural inhibitors targeting GroEL in Leptospira interrogans: an integrative virtual screening and molecular dynamics approach.
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| Title: | Computational identification of natural inhibitors targeting GroEL in Leptospira interrogans: an integrative virtual screening and molecular dynamics approach. |
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| Authors: | Sethi G; Center for Large Animals Convergence Research, Korea Institute of Toxicology, Jeongeup-si, Jeollabuk-do, Republic of Korea., Sahoo S; Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju, Republic of Korea., Han SC; Center for Large Animals Convergence Research, Korea Institute of Toxicology, Jeongeup-si, Jeollabuk-do, Republic of Korea., Shin D; Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju, Republic of Korea., Hwang JH; Division of Advanced Predictive Research, Center for Bio-Signal Research, Korea Institute of Toxicology, Daejeon, Republic of Korea. |
| Source: | Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 Feb 02; Vol. 15, pp. 1733096. Date of Electronic Publication: 2026 Feb 02 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2235-2988 |
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| DOI: | 10.3389/fcimb.2025.1733096 |
