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Machine Learning/ AI

Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Target Validation

Demonstrate that modification of target activity has potential therapeutic benefits.
Target Identification

Identify the target(s) of a biologically active substance.
Discovery Computational Chemistry

Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
Virtual Screening

Use software algorithms to virtually screen millions of potential compounds and peptides for binding.
Compound Docking

Identify potential compound hits based on the 3D structure of a target protein.
Drug Drug Interactions

Determine whether a substance affects the activity of a drug when both are administered together.
Fragment Libraries

Find fragment libraries for screening against a protein or cellular target.
Pharmacophore Modeling

Use computer models to identify hits based on structural similarity to known active compounds.
Off Target Effects

Assess toxicities by body weight, clinical chemistry, hematology, urinalysis and terminal necropsy and pathology.
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