New database maps proteins that could predict cancer
Swedish researchers unveiled a new cancer protein profile database compiled from artificial intelligence and machine learning.
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Swedish researchers unveiled a new cancer protein profile database compiled from artificial intelligence and machine learning.
In this ebook are articles on how artificial intelligence can be used to identify drug candidates, data-lead screening models and autonomous strategies for molecular discovery.
A study has proposed a new technique for modelling living cells at atomic resolution, which could be used to research human health.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Jiankun Lyu hopes to use algorithms to find improved drugs by screening chemicals that may look different to a protein’s known ligands but work in a similar way.
Using an AI algorithm that models drug and target protein interactions, researchers achieved up to 97 percent accuracy in identifying promising drug candidates.
The researchers created a chronic skull optical clearing window where they no longer needed to remove any piece of the skull.
Scientists have identified and synthesised a small molecule that could be a more accessible and affective alternative to an antibody that treats a wide range of cancers.
Using cryo-electron microscopy, researchers have captured the structure of a membrane-bound T-cell receptor complex with bound antigen.
The AI algorithm was able to predict the presence and the location of nuclei in more than 8,000 cells.
Researchers have developed a machine learning method to quantitatively analyse and compare microscopy images of proteins.
12 August 2022 | By
A new technique could relieve pain for individuals with various chronic and neurological conditions.
In a new study, researchers have found that light can be used to naturally balance a cell’s mitochondria.
Researchers analysed the expression of long non-coding RNAs in samples from patients and tumour cell lines, identifying a group of genes with augmented expression in pancreatic cancer.
Researchers used mice to develop a mathematical algorithm of a heart attack.