In this article, we’ll answer these questions. What tools are out there, and how do they work? What are their respective strengths and weaknesses? What does protein structure prediction mean for experimental methods like NMR and X-ray crystallography? Historically, getting a protein structure for your research was an arduous process, which could be a limiting step for your research but not anymore! Even better, these AI tools are free and open access! Specifically, AI has become extremely powerful at accurately predicting protein structure via either ab initio structure modeling or protein structure prediction. These days it seems AI is everywhere! Whether writing articles or analyzing complex data sets, AI is changing everything-it’s even changing the somewhat niche field of protein structure science. ![]() Homology-based structure prediction and threading are two methods for predicting protein structure, and advanced tools, like AlphaFold-2, use neural networks. However, free AI tools can perform protein structure prediction accurately and quickly. ![]() But discovering a protein’s structure is hard, relying on advanced techniques such as NMR and X-ray crystallography. Protein structures are crucial to understanding their function.
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