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The goal of this project is to generate a linear regression model that accepts ChEMBL inhibitor data for a target of interest as input and produces inhibitor bioactivity predictions with respect to the specified target as output.

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bioactivity data-science drug-discovery inhibitors machine-learning medicinal-chemistry python

computational-drug-discovery-project's Introduction

Hi, I'm Mae.

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  • ๐ŸŒธ Iโ€™m a biochemist by training specializing in bioinformatics & computational biology. I am interested in machine learning applications for computer-aided drug discovery.
  • ๐ŸŒธ Iโ€™m currently working on devloping a machine learning model to predict cancer outcomes based on genomic screening data from cBioPortal for Cancer Genomics.
  • ๐ŸŒธ Iโ€™m looking to collaborate on bioinformatics and chemoinformatics projects. I especially enjoy working with those from more computational backgrounds to compliment my experimental wet lab background.
  • ๐ŸŒธ You can reach me at [email protected].

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