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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

Jason Yalim

Arizona State University

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Expertise

Jeffrey Weekley

University of California - Santa Cruz

Programs

Campus Champions

Roles

research computing facilitator

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Expertise

Sathish Srinivasan

Programs

ACCESS CSSN

Roles

mentor, researcher/educator, research computing facilitator, research software engineer, cssn

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Expertise

People with Interest

Brian Haymore

University of Utah

Programs

Campus Champions, RMACC, CCMNet

Roles

mentor, research computing facilitator, ci systems engineer, CCMNet

Brian Haymore

Interests

Morgan Newton

Santa Monica College

Programs

ACCESS CSSN

Roles

student-facilitator

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Interests

Sapana Soni

LBNL

Programs

CCMNet

Roles

CCMNet

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Interests