ArticleScientific reports2026
Streptomyces koyangensis L-asparaginase: computational prediction of dual-mechanism BCL-2 interaction in acute lymphoblastic leukemia.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
The present research uses integrative computational analysis to assess Streptomyces koyangensis L-asparaginase as a therapeutic against acute lymphoblastic leukemia (ALL), overcoming immunogenicity and cross-reactivity issues with E. coli and Erwinia carotovora enzymes. We characterized enzyme-oncoprotein interactions using six in silico methods: homology modeling (SWISS-MODEL, AlphaFold2), molecular docking (ClusPro, HADDOCK, AutoDock Vina), 100 ns molecular dynamics (MD) (GROMACS), and pharmacophore modeling (LigandScout). Exceptional stability of the S. koyangensis-BCL-2 complex was revealed: binding energy − 13.8 kcal/mol; RMSD < 2.5 Å; Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) -68.4 ± 5.2 kcal/mol, forming a 2,145 Ų interface with 80 interacting residues. Pharmacophore modeling identified eight features targeting Asp42, Glu78, and Arg156 for rational engineering. This suggests a potential dual mechanism involving asparagine depletion and predicted BCL-2 binding interactions that may enhance leukemic apoptosis, pending experimental validation. Comparative analysis confirmed S. koyangensis demonstrated statistically significant superior binding affinity compared to alternatives (P < 0.01), offering a computational framework for identifying potential anti-cancer biotherapeutic candidates requiring experimental validation.
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