Bioinformatics procedure for investigating senolytic (anti‐aging) agents: A digital signal processing technique

Type: Research Article

Journal: Aging Med (Milton)

Date: Jan 2024

PMID: 38239718

Cell growth is considered as an exponential cell multiplication. This is because at every cycle, each divide into two. This continues until the limit is reached. After this time, the cells become inactive. While some undergo programmed death, others remain inactive and end up at various parts of the body where they constitute aging. These cells are called senescent cells. Several types of therapeutic interventions are available. They include the senolytics and senomorphics. Senolytic are agents that kill and eradicate senescent cells while senomorphics inhibit their activities.

Senescence or aging is found to have resulted from double interactions of two sets of protein, the Forkhead xx Domain (FAD) and Transactivation Domain (TAD) as well as C-Terminal Region-3 (CR-3) and the DNA Binding Domain (DBD). Inevitably, agents that interrupt these activities serve as good therapeutic agents. Because these biomolecules are proteins, we assessed the inter-molecular interactions that exist amongst them using the digital signal (FFT)-based technique.

In summary, this work introduces a mechanistic, digital signal (FFT)–based framework for understanding cellular aging and senescence. The study models senescence as an over‑stabilized, coupled signal system maintained by two dominant protein‑interaction modes. By treating biological sequences as analyzable signals, the framework reveals how specific couplings preserve the senescent state — and how targeted decoupling can induce senolysis.

You can access the research publication via: PMID: 38239718