In a groundbreaking development, scientists have created an artificial intelligence (AI) tool that can determine the function of unknown proteins with remarkable accuracy. Developed by researchers at King Abdullah University of Science and Technology (KAUST), this tool surpasses existing methods in predicting protein functions and has the capacity to analyze proteins that have no clear matches in existing datasets.
The AI tool, known as DeepGO-SE, leverages large language models similar to those used in generative AI tools. However, it goes a step further by employing logical entailment to draw meaningful conclusions about the functions of proteins. By constructing models based on general biological principles, the tool can logically process outcomes and infer the most plausible scenario for protein function.
According to Robert Hoehndorf, head of the KAUST Bio-Ontology Research Group, this method has wide-ranging applications, especially when it comes to reasoning over data and hypotheses generated by other machine learning models. The tool has proven its effectiveness by successfully predicting the molecular functions of poorly understood proteins, surpassing over 1,600 algorithms in an international competition of function prediction tools.
The KAUST team is now utilizing DeepGO-SE to explore the functions of enigmatic proteins found in desert plants thriving in extreme environments. They hope that this tool will reveal new proteins that could be useful for biotechnological applications. The potential uses of DeepGO-SE are extensive, including drug discovery, metabolic pathway analysis, disease associations, protein engineering, and screening for specific proteins of interest.
This breakthrough promises to revolutionize protein research, providing scientists with a powerful tool to unravel the inner workings of cells. The ability to analyze unknown proteins and predict their functions will significantly accelerate our understanding of biological processes and open up new avenues for innovation and discovery in various fields. As the research progresses, scientists worldwide are eagerly embracing the AI tool and its potential to unlock the secrets of unknown proteins.
FAQ:
1. What is the groundbreaking development in protein research?
– Scientists have created an artificial intelligence (AI) tool called DeepGO-SE that can determine the function of unknown proteins with remarkable accuracy.
2. Who developed the DeepGO-SE tool?
– The tool was developed by researchers at King Abdullah University of Science and Technology (KAUST).
3. How does DeepGO-SE surpass existing methods in predicting protein functions?
– DeepGO-SE leverages large language models similar to those used in generative AI tools. It goes a step further by employing logical entailment to draw meaningful conclusions about protein functions based on general biological principles.
4. What are the wide-ranging applications of DeepGO-SE?
– DeepGO-SE has applications in reasoning over data and hypotheses, drug discovery, metabolic pathway analysis, disease associations, protein engineering, and screening for specific proteins of interest.
5. How effective is DeepGO-SE?
– DeepGO-SE has successfully predicted the molecular functions of poorly understood proteins, surpassing over 1,600 algorithms in an international competition of function prediction tools.
Definitions:
– Artificial intelligence (AI): The development of computer systems or machines that can perform tasks that would typically require human intelligence.
– Protein: A large biomolecule composed of one or more chains of amino acids that perform a wide range of functions in living organisms.
– Logical entailment: The relationship between two statements, where the truth of one implies the truth of the other.
Suggested Related Links:
– King Abdullah University of Science and Technology (KAUST)
– ScienceDirect (main domain for scientific articles)
The source of the article is from the blog oinegro.com.br