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Emre Can Buluz

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Open access Aug 2026

Phenolic-rich Rubus caesius roots from Turkmenistan: in vitro antioxidant, enzyme inhibition, antibacterial, and antifungal properties and in silico analysis

The dewberry, or Rubus caesius L. (Rosaceae), has long been used in traditional medicine, although scientific research has primarily focused on its roots and aerial portions. Notable biological activity associated with a rich phytochemical profile has been reported in these investigations. In contrast, limited information is available regarding the biological potential and chemical composition of R. caesius roots collected from Turkmenistan, Central Asia. The present study aimed to investigate, for the first time, the biological potential of R. caesius root extracts prepared as an aqueous infusion (a traditional, food-relevant preparation) and an ethanol extract (a polyphenol-enriching extraction), and to relate differences in bioactivity to UHPLC-QqQ-MS/MS-based phytochemical composition. The extracts were screened using complementary antioxidant assays (radical-scavenging and reducing power), a multi-target panel of enzyme inhibitory activities relevant to metabolic and cosmetic/neurobiological pathways (including α-amylase, α-glucosidase, acetyl-/butyrylcholinesterase, and tyrosinase), and antimicrobial/antifungal tests against representative bacterial and fungal strains. UHPLC-QqQ-MS/MS profiling revealed a root metabolome dominated by phenolic acids, flavonoids, and anthocyanin-related constituents, with clear qualitative and quantitative differences between infusion and ethanol extracts. In agreement with the chemical findings, both extracts expressed pronounced antioxidant capacity, while enzyme inhibition was extract-dependent, indicating that solvent polarity influenced the recovery of constituents responsible for carbohydrate-hydrolyzing enzyme and cholinesterase/tyrosinase inhibition. The antimicrobial and antifungal screenings demonstrated selective growth inhibition that varied by microorganism and extraction type. The integrated chemical–biological approach highlights R. caesius roots from Turkmenistan as a promising source of multifunctional natural products and provides baseline data to support their future use in nutraceutical, functional food, or phytopharmaceutical development.

Serdar Korpayev, Emre Can Buluz, Savas Kaya et al. · 0 citations
Open access Jul 2026

Computational Analysis of Nucleotide Substitutions in a CD47 Aptamer: Structural and Energetic Insights

The Cluster of Differentiation 47 (CD47)–signal regulatory protein alpha (SIRPα) immune checkpoint is a key regulator of tumor immune evasion and a promising target in cancer immunotherapy. To overcome the limitations of monoclonal antibodies, this study aimed to identify high-affinity nucleic acid aptamers targeting CD47. A systematic single-nucleotide mutagenesis workflow was performed on a known CD47-binding DNA aptamer to generate 270 single-point variants, enabling unbiased evaluation of each nucleotide position. The variants were first screened for structural stability, yielding 81 structurally stable candidates. These candidates were then subjected to molecular docking against CD47, and 45 variants showed improved docking scores compared with the native aptamer. The docking score improved from −226.07 for the native aptamer to −301.94 for the best-performing variant. Based on structural stability and docking performance, the ten top-ranked candidates were selected for molecular dynamics simulations. These variants exhibited improved conformational stability, as reflected by lower root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF) values and increased hydrogen bonding, with Seq198 and Seq262 showing the most stable profiles. Binding free energy calculations confirmed improved affinity. The native aptamer exhibited a ΔTOTAL of −97.16 kcal/mol, whereas Seq198 (−173.13 kcal/mol), Seq244 (−152.35 kcal/mol), and Seq112 (−147.19 kcal/mol) showed markedly stronger binding. Seq198 emerged as the most promising candidate. These findings demonstrate that systematic computational mutagenesis is an effective strategy for optimizing aptamer performance and identifying high-affinity CD47-targeting candidates.

Sumeyye Altunok, Emre Can Buluz, Ehed Muhammed Aymaz · 0 citations