Publications Library

This preprint presents a purely in-silico computational study evaluating the Hantavirus CGRn8316 glycoprotein as a potential mRNA vaccine antigen. The Rami Five-Checkpoint Framework was applied to compare the full-length glycoprotein with a shorter trimmed multi-epitope construct, scoring antigen selection, sequence optimization, RNA design feasibility, epitope-like immunogenicity, and cost/scalability.

This work presents the computational design of a multi-epitope mRNA vaccine candidate against Zaire ebolavirus using an immunoinformatics-driven approach. Conserved regions from the Ebola glycoprotein (GP), nucleoprotein (NP), and matrix protein VP40 were analyzed to identify high-affinity CD8+ and CD4+ T-cell epitopes.

This study develops and evaluates a computational pipeline for designing fully personalized mRNA vaccines for individuals with multidrug-resistant HIV-1 infection. Patient-specific viral envelope (Env) sequences are reconstructed, optimized, and encoded into individualized mRNA constructs formulated in lipid nanoparticles.

The ongoing opioid crisis continues to result in unacceptable overdose mortality. This work presents a conceptual two-phase peripheral drug sequestration framework designed to reduce central nervous system (CNS) exposure to fentanyl without interfering with opioid receptor signaling, based on engineered fentanyl-binding proteins.

Ambient radio-frequency (RF) energy from broadcast transmitters represents a continuously available but extremely low-density power source. This work presents a conceptual and buildable system for harvesting ambient AM radio waves to power battery-free wireless sensors through a hybrid electromagnetic–mechanical energy conversion chain.

Chronic wounds frequently fail to heal due to persistent biofilm formation. This work presents a novel wound microenvironment control approach based on an in-situ forming hydrogel embedded with magnesium oxide (MgO) nanoparticles, designed to impose sustained physicochemical stress on biofilms while maintaining wound conformity and exudate management.

This book presents a unified conceptual and computational framework that envisions Artificial Intelligence (AI) as an extension of humanity's adaptive immune system. Through advanced in-silico modeling, the work demonstrates how machine learning and bioinformatics pipelines can emulate immune recognition, predict antigenic targets, and generate mRNA-based vaccine and tolerance candidates.

Autoimmune diseases arise from a breakdown of immune tolerance to self-proteins. This study introduces a unified AI-engineered mRNA tolerance vaccine platform designed to retrain autoreactive lymphocytes through repeated, non-inflammatory exposure to self-antigens, integrating autoantigen genomics, in-silico CRISPR validation, and E. coli protein expression.

Endotoxin contamination remains a critical risk in drug products and medical devices. Conventional assays rely on clotting proteins from horseshoe crab blood, raising sustainability and accuracy concerns. This proposal introduces a same-day, animal-free workflow using liquid chromatography–mass spectrometry (LC-MS) to directly measure endotoxin molecular fragments.