NEURO-SIM-01: LLM-Assisted Computational Neuroscience for Virtual Brain Modeling, Neurochemical Simulation, and Genetic Variability Analysis

NEURO-SIM-01 is an independent biomedical research proposal investigating how large language models (LLMs), computational neuroscience, and publicly available biological datasets can be integrated to develop virtual neuronal systems for studying neurochemical interactions. The project proposes simulating neuronal responses to chemical perturbations while incorporating genetic variation, receptor activity, and relevant biological background factors. Using computational modeling tools and experimental neuroscience databases, the research aims to generate measurable simulation outputs, evaluate model accuracy, and identify limitations in predicting biological responses. A central objective is to explore whether AI-assisted virtual neural models could eventually support pharmaceutical research, neurotoxicity screening, and personalized medicine by helping researchers prioritize hypotheses before laboratory testing. The initial study emphasizes reproducibility, open-source tools, independent experimental validation, and responsible handling of genetic and medical information. Simulated results will be distinguished from experimentally verified biological effects.