SelectScience InterviewsDrug Discovery & Development

The role of AI in proteomics

23 May 2024
Dora Wells
Clinical Content Editor
The role of AI in proteomics

Parag Mallick, Associate Professor at Stanford University and CoFounder and Chief Scientist at Nautilus Biotechnology, explores the transformative impact of artificial intelligence on proteomics. He discusses the significance of proteomics in life sciences and drug discovery, highlighting how machine learning at Nautilus enhances the analysis of complex protein data, surpassing traditional methods. Mallick also discusses the challenges of handling vast protein datasets and shares strategies for overcoming these hurdles. Additionally, he offers his vision for the future of proteomics in healthcare and draws intriguing parallels between his work in proteomics and his passion for magic, revealing how these interests uniquely complement each other.

About the company

Nautilus Biotechnology

Nautilus Biotechnology was founded in 2016 on the belief that incremental advancements to existing technologies are inadequate; that a bold scientific leap is required to radically reinvent proteomics and create a new gold standard in the field. Nautilus exists to pursue deep, hard science and, ultimately, to positively impact the health of millions around the world.

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ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.
The role of AI in proteomics