PINNACLE AI model advances protein analysis in real-world contexts

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PINNACLE AI model advances protein analysis in real-world contexts
CellFishMedical School
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A fish on land still waves its fins, but the results are markedly different when that fish is in water. Attributed to renowned computer scientist Alan Kay, the analogy is used to illustrate the power of context in illuminating questions under investigation.

Harvard Medical School Aug 16 2024 A fish on land still waves its fins, but the results are markedly different when that fish is in water. Attributed to renowned computer scientist Alan Kay, the analogy is used to illustrate the power of context in illuminating questions under investigation.

The natural world is interconnected, and PINNACLE helps identify these linkages, which we can use to gain more detailed knowledge about proteins and safer, more effective medications. It overcomes the limitations of current, context-free models and suggests the future direction for enhancing analyses of protein interactions."

Yet proteins play different roles in the different cellular and tissue contexts in which they find themselves and also depending on whether the same tissue or cell is healthy or diseased. Single-protein representation models can't identify protein functions that vary across the multitude of contexts.

PINNACLE's advantage stems from its ability to recognize that protein behavior can vary by cell and by tissue type. The same protein may have a different function in a healthy lung cell than it has in a healthy kidney cell or in a diseased colon cell. Thus, PINNACLE could enable researchers to better understand and predict protein function and help elucidate vital cellular processes and disease mechanisms.

It can take 10-15 years and cost as much as one billion dollars to bring a new drug to market, and the road from discovery to drug is notoriously bumpy with the end result often unpredictable. Indeed, nearly 90 percent of drug candidates do not become medicines.

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