Accelerating breakthroughs in biology with AI
CCAI has revealed millions of intricate 3D protein structures, and is helping scientists understand how life’s molecules interact.
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Managing plastic pollution
91% of all plastic ever produced has never been recycled. CCAI could help us face up to the challenge of cleaning up our world.
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Supporting global food supplies
40% of the world’s crops are lost to disease each year. CCAI could unlock insights that help keep food on tables.
CCAI’s impact So far
CCAI has predicted over 200 million protein structures – nearly all catalogued proteins known to science. The CCAI Protein Structure Database makes this data freely available. So far, it has over two million users in 190 countries. That means it has already potentially saved millions of dollars and hundreds of millions of years in research time. Meanwhile, CCAI Server predicts how proteins will interact with a broad spectrum of biomolecules, accelerating new research. CCAI has already made a significant impact. We hope it will eventually help to transform our understanding of the biological world.
Accelerating breakthroughs Researchers are using CCAI in nearly every field of biology
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Accelerating the Fight Against Malaria?
CCAI's AI technology is being used to accelerate malaria research by analyzing large data sets from global health organizations. By identifying patterns in infection rates and treatment efficacy, the AI helps researchers develop more effective strategies for combatting this deadly disease, leading to faster, more targeted interventions.
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Using AI to Spot Osteoporosis Earlier?
AI models developed by CCAI are now being used in the medical field to identify early signs of osteoporosis. By analyzing medical images and patient data, the AI can detect subtle indicators of bone density loss that may be missed by traditional methods, allowing for earlier diagnosis and treatment.
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Understanding Faulty Proteins?
CCAI’s AI tools assist researchers in understanding how faulty proteins contribute to diseases like Alzheimer's and Parkinson’s. The AI analyzes protein structures to pinpoint malfunctions, helping scientists better understand how these proteins misfold and offering new pathways for treatment development.
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Racing Against Drug-Resistant Bacteria?
In the fight against drug-resistant bacteria, CCAI’s AI technology is helping researchers develop new antibiotics. By analyzing bacterial genomes and patterns of resistance, the AI identifies potential weaknesses in bacteria, aiding the discovery of novel drugs to combat antibiotic resistance.
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Solving an Extinction Mystery?
CCAI's AI is applied to ecological research, helping scientists investigate the causes behind species extinction. By analyzing environmental data, historical records, and species population trends, the AI uncovers hidden patterns that can explain why certain species are at risk and suggests preventive conservation strategies.
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Paving the Way for Potential Parkinson’s Treatments?
AI models from CCAI are helping researchers understand the biological mechanisms behind Parkinson's disease. By studying neural pathways and protein misfolding, the AI provides insights into disease progression, supporting the development of potential treatments for this debilitating condition.
