The discussion centers on the predictability of molecular shapes, particularly for complex molecules with many atoms. It is established that while simple molecules like water and methane have straightforward shapes, more complex molecules such as glucose and amino acids can also have their shapes predicted using theories like electron repulsion and analysis of bond pairs and lone pairs. The field of protein folding is highlighted, emphasizing that significant computational resources, including supercomputing clusters, are dedicated to understanding protein structures. Advances in technology, such as programs utilizing the processing power of gaming consoles like the PS3, are mentioned as ways to enhance computational capabilities in this research area. The conversation notes that while predicting the basic structure of complex proteins is time-consuming, ongoing developments in quantum computing may eventually streamline this process. Overall, computer modeling in molecular chemistry and biochemistry is routinely used to predict molecular interactions, demonstrating the feasibility of predicting shapes for complex molecules.
