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SUMMARY:Designing an Advanced Cancer Therapeutic Protein (GABPA Binding In
 hibitor) Using an Artificial Intelligence-based DNA Binding Protein Design
  system. - Haseem Deen Mohamed Sarif Mohamed Iqbal\, University of Cambrid
 ge 
DTSTART:20220518T140000Z
DTEND:20220518T143000Z
UID:TALK169436@talks.cam.ac.uk
CONTACT:Lisa Masters
DESCRIPTION:First Year PhD Report:\nTranscription factors (TF) are DNA bin
 ding proteins that regulate the gene expression mechanism. Different combi
 nations of TF that are bound at the DNA promotor (transcription initiation
  region in a gene) determine whether a gene is switched on or off. Many co
 mplex diseases and organ development are related to the transcription fact
 or machinery. Our ambitious goal is to design novel functional protein fol
 ds to interrupt gene switch mechanisms. Thus\, we could develop advanced t
 reatments for\ndifferent kinds of diseases\, including cancer\, and in tis
 sue regenerative applications.\n\nWe are developing an artificial intellig
 ence-based protein designing system. In the first step\, we have developed
  a method to translate a 3D geometry of a protein structure into a 1D stru
 ctural language sequence that represents the 3D protein structure. The seq
 uence could be used as input to a special type of RNN (Recurrent Neural Ne
 twork) to learn how to build a novel fold using a fragment library guided 
 own variational protein set. To test the system\, we have designed a highl
 y specific cancer therapeutic protein structure.\n\nThe system development
  is ongoing. We will optimise the designed protein using a self-learning R
 NN.
LOCATION:Wolfson Lecture Theatre\, Dept of Chemistry and Zoom
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