Publications by authors named "C S Subramanyam"

Article Synopsis
  • - The study investigates the effects of an herbal treatment on gut microbiome, facial redness, and intestinal permeability in adults diagnosed with small intestinal bacterial overgrowth (SIBO) confirmed by a lactulose breath test.
  • - Participants underwent a 10-week regimen of a Biocidin liquid tincture and GI Detox+, with additional treatment via Olivirex if they showed no improvement, monitored through breath tests and other analyses.
  • - Results indicated that the herbal regimen was particularly effective for certain types of SIBO, with 42.8% of participants showing improvement in hydrogen-dominant cases and significant increases in beneficial bacteria over the treatment period.
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Herein, we describe the design and synthesis of γ-secretase modulator (GSM) clinical candidate PF-06648671 () for the treatment of Alzheimer's disease. A key component of the design involved a 2,5--tetrahydrofuran (THF) linker to impart conformational rigidity and lock the compound into a putative bioactive conformation. This effort was guided using a pharmacophore model since crystallographic information was not available for the membrane-bound γ-secretase protein complex at the time of this work.

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Article Synopsis
  • The CTLH complex, involved in recognizing specific protein substrates via GID4, has unclear functions and targets in humans.
  • Researchers introduced PFI-7, a chemical probe that inhibits GID4's ability to bind Pro/N-degrons, which helps identify proteins GID4 interacts with and regulates.
  • Their findings reveal GID4's role in regulating levels of nucleolar proteins and metabolic enzymes, suggesting both degradative and nondegradative actions, and highlighting PFI-7's potential for future research on protein degradation strategies.
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Article Synopsis
  • * The new algorithm incorporates K-means concepts and a weight factor to improve solution diversity and avoid getting stuck in suboptimal solutions.
  • * Results show that this enhanced optimizer significantly outperforms the standard grey wolf optimizer, demonstrating more effective exploration of solution spaces and producing high-quality clusters efficiently across various datasets.
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