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Re-engineering Lilly’s KisunlaTM into a novel antibody targeting IL13RA2 against GBM using AI-driven macromolecular modeling
Atrium Health Levine Cancer
  • Summary and objectives of the proposed experiments: 
  1. An initial research-based Ab (scFv47, discovered by our collaborator Dr. Balyasnikova) model, modeling Ab-Ag (IL13RA2 against GBM) protein complex, and identifying the binding sites (epitopes) using ROSETTA and AlphaFold2 multimer tools.
  2. Graft the CDRs of scFv (single-chain variable fragment) of antibody or Bispecific T cell engagers (BTEs) onto the template Ab, the framework of Lilly's Kisunla™ Ab drug.
  3. Modify, improve, and optimize the overall or full antibody protein structures using AI-driven macromolecule modeling (AlphaFold3).
  4. Explore single nucleotide polymorphism (SNP), pathogenic genetic variants and N-glycosylation of IL13RA2 (target) protein domain interacting with the Ab candidates among the patient population using ROSETTA software packages.
Status: In Progress

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Doruk Alp MUTLU

Michigan State University

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student-facilitator

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Jordan Hayes

University of California - Riverside

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Campus Champions

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research computing facilitator

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Shawn Sivy

The College of New Jersey

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Campus Champions, CAREERS

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research computing facilitator, ci systems engineer

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Od Odbadrakh

University of Tennessee, Knoxville

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researcher/educator, research computing facilitator

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Xiaoqin Huang

Rice University

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mentor, research computing facilitator, research software engineer, cssn

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Wirawan Purwanto

Old Dominion University

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Campus Champions, Northeast, ACCESS CSSN

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mentor, research computing facilitator, cssn

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