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Engagements

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

People with Expertise

Daniel Benedict

Texas Tech University

Programs

CCMNet

Roles

mentor, ci systems engineer, CCMNet

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Expertise

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Jason Yalim

Arizona State University

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Expertise

Anas Alsobeh

Southern Illinois University, Carbondale

Programs

CCMNet

Roles

CCMNet

Dr.Anas Alsobeh

Expertise

People with Interest

Joseph Antonucci

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Interests

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Mohsen Ahmadkhani

Programs

CCMNet, ACCESS CSSN

Roles

student-facilitator, mentor, cssn, CCMNet

Mohsen Ahmadkhani

Interests

Benjamin Meyers

Rochester Institute of Technology

Programs

Campus Champions

Roles

research computing facilitator

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Interests