Publications by authors named "Kallidaikurichi V Venkatachalam"

Article Synopsis
  • The study highlights the urgent need for improved treatments for chronic myeloid leukemia (CML), given the high incidence and mortality rates among men and women.
  • It investigates the potential enhanced effects of combining inecalcitol with existing therapies imatinib and dasatinib on various cancer cell lines.
  • Results showed that while some cell lines were resistant, AR-230 and LAMA-84-s exhibited significant cell-killing effects, suggesting that the effectiveness of combined treatments varies depending on the specific cell type.
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In humans, methionine derived from dietary proteins is necessary for cellular homeostasis and regeneration of sulfur containing pathways, which produce inorganic sulfur species (ISS) along with essential organic sulfur compounds (OSC). In recent years, inorganic sulfur species have gained attention as key players in the crosstalk of human health and the gut microbiome. Endogenously, ISS includes hydrogen sulfide (HS), sulfite (SO), thiosulfate (SO), and sulfate (SO), which are produced by enzymes in the transsulfuration and sulfur oxidation pathways.

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Methionine-γ-lyase (MGL) is a pyridoxal-5'-phosphate dependent enzyme found in bacteria and protozoa that catalyzes a variety of reactions, including the γ-elimination of L-methionine (L-Met). Here we report experimental kinetic data and density functional theory (DFT) computational data for the γ-elimination reaction of L-Met and several other substrate analogues by a recombinant MGL from P. gingivalis (MGL_Pg).

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In this article, we present a new, easy-to-implement assay for methionine γ-lyase (MGL)-catalyzed γ-elimination reactions of l-methionine and its analogues that produce α-ketobutyrate (α-KB) as product. The assay employs ultraviolet-visible (UV-Vis) spectrophotometry to continuously monitor the rate of formation of α-KB by its absorbance at 315 nm. We also employ a nonlinear data analysis method that obviates the need for an "initial slope" determination, which can introduce errors when the progress curves are nonlinear.

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