In our work, we have initially implemented and validated the potential of TRPV4-Gemma-3B in designing inhibitor molecules by combining molecular dynamics and chemoinformatics methods. In future work, by introducing more advanced model architectures and training techniques, TRPV4-Gemma-3B will have the opportunity to design more reliable inhibitor molecules. Recent research has shown the tremendous potential of large language models in drug design, and given the complexity and specificity of drug design, developing dedicated large models for studying drug molecules targeting different pathogenic mechanisms is crucial. Our TRPV4-Gemma-3B represents an experimental endeavor with this intention.