The overwhelming volume of scientific literature poses a substantial challenge toward new discoveries due to its volume, the constant flux of new publications, and potential for conflicting conclusions. Researchers face the daunting task of manually sifting through an extensive array of scientific articles to extract critical information and develop innovative insights. This time-consuming and labor-intensive process not only hinders productivity but also limits the depth of understanding achievable within a reasonable timeframe. Advances in Large Language Models (LLMs) allow us to develop customized LLM solutions specifically optimized for biological literature and restricted to produce factually accurate answers and results.