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Generative Artificial Intelligence and Bioinformatics: Insights and Explorations in the Protein Sequence-Structure-Function Continuum
McGee, Francisco
McGee, Francisco
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Date
2023
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Biology
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http://dx.doi.org/10.34944/dspace/8851
Abstract
The convergence of advanced models, data, and computational resources are allowing generative artificial intelligence (AI) to revolutionize science and society around text, images, and molecules. This work combines a theoretical generative AI methodology, a practical application of bioinformatics, and an optimized high-throughput computational tool to provide insights and conduct explorations into the protein sequence-structure-function continuum.
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