Fhezt Bioinformatics

Fhezt Bioinformatics

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Bioactive Marketing 03/03/2025

Toluwase H. Fatoki In my previous paper, titled "Biomarketing: Understanding Brand Perception through Biological Process, and User-Friendly Materials and Platforms". I wrote that "Clarity in health communication aids customer understanding of brand information." According to Blue Ocean Strategy, it is good to use "monitor meat freshness" instead of "detecting meat spoilage". This is what I termed "Bioactive Marketing" - a new positive language marketing strategy in the field of Biomarketing....

Bioactive Marketing Toluwase H. Fatoki In my previous paper, titled "Biomarketing: Understanding Brand Perception through Biological Process, and User-Friendly Materials and Platfo…

In silico investigation of lipid-based compounds implicated in amyotrophic lateral sclerosis 21/08/2024

Amyotrophic lateral sclerosis (ALS) is a fatal, currently incurable neurodegenerative disease that progressively affects the upper motor neurons in the brain and lower motor neurons in the spinal cord. A significant portion of patients exhibit abnormalities in lipid metabolism, which appear to contribute to denervation and subsequent motor neuron degeneration. This study aimed to computationally identify lipid-based compounds associated with ALS and elucidate their pathological and therapeutic roles to facilitate effective ALS diagnosis and treatment....

In silico investigation of lipid-based compounds implicated in amyotrophic lateral sclerosis Amyotrophic lateral sclerosis (ALS) is a fatal, currently incurable neurodegenerative disease that progressively affects the upper motor neurons in the brain and lower motor neurons in the spinal c…

In silico exploration of anti-prostate cancer compounds from differential expressed genes 05/07/2024

Prostate cancer (PCa) is a complex and biologically diverse disease with no curative treatment options at present. This study aims to utilize computational methods to explore potential anti-PCa compounds based on differentially expressed genes (DEGs), with the goal of identifying novel therapeutic indications or repurposing existing drugs. The methods employed in this study include DEGs-to-drug prediction, pharmacokinetics prediction, target prediction, network analysis, and molecular docking....

In silico exploration of anti-prostate cancer compounds from differential expressed genes Prostate cancer (PCa) is a complex and biologically diverse disease with no curative treatment options at present. This study aims to utilize computational methods to explore potential anti-PCa com…

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