The Future of Computational Biochemistry

Pharmaceuticals

Computational biochemistry allows drug-makers to cut out a significant portion of the test tube experiments. Instead, a computer simulates the protein and tests all of its atomic interactions. That analysis will yield a far conscise list of leads that researchers can take to the next stage of testing

Benefits for the company

Deep learning truly has revolutionized drug discovery, as it can factor in everything from possible toxicity risks to new applications for existing drugs, which subsequently are saved the expense of a Stage 1 trial.

Feasability

High

Type of expertise/ AI domain

Deep Learning

Internal data required

Different Protein interaction, genomic data, bio- markers etc

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