When you search for the word “protein”, the first results that appear are related to food, nutrition and diet. Beyond that, proteins are much more than what you eat. It would take pages and pages to list all the functions…
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DeepChainTM lets you create your own machine learning tools, or what we call Apps, to solve particular biology questions. We’re democratising AI protein exploration and design by allowing students and independent researchers to tap into our datasets, pre-trained models and…
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DeepChainTM lets you create your own machine learning tools, or what we call Apps, to solve particular biology questions. We’re democratising AI protein exploration and design by allowing students and independent researchers to tap into our datasets, pre-trained models and…
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Our bodies are around 15% protein. Our immunity, digestion, how our bodies are structured, regulate themselves and many more functions are the result of cellular processes associated with proteins. Anything that affects protein structure, function, and stability can lead to…
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Open-source community to stimulate research AI innovation in biology and healthcare is one of the most exciting intersections in science today thanks to recent breakthroughs such as the use of transformers and the ability to predict protein folding. This flurry…
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We are opening DeepChainTM to allow users to ideate and build their own machine learning (ML) tools, or as we call them, Apps, to solve their particular biology questions. We offer pre-trained models, AI and biology expertise, technical support and the infrastructure needed to maximise your research.
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Molecular Dynamics Simulations provide a wealth of information to uncover links between protein structure, stability and function. Generally, running these simulations requires substantial expertise and compute resources. DeepChain™ has been launched as a user-friendly AI-powered protein design platform featuring a molecular dynamics simulation module to increase access to such a powerful research tool to all scientists.
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Protein research has relied for many years on the availability of structure information and evolutionary similarity. Although significant advancements have been achieved, current research still focuses either on generalised research models or already studied proteins. We know that the protein landscape is immense.
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Transformers are an AI language model that has had huge impact in speech recognition and automated chatbots and has now been pointed out as a revolutionising technique to understand the language of proteins, offering an innovative approach to study and…
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