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Knowledge Base Resources

Title Category Tags Skill Level
Attention, Transformers, and LLMs: a hands-on introduction in Pytorch Learning ai, deep-learning, machine-learning, neural-networks, pytorch Intermediate
DeepChem Tool pytorch, tensorflow, computational-chemistry Beginner, Intermediate, Advanced
fast.ai Website ai, machine-learning, pytorch, training Beginner, Intermediate, Advanced

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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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Sapana Soni

LBNL

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Stanley Nwoji

Harrisburg University of Science and Technology

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Cody Stevens

Wake Forest University

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New Jersey Institute of Technology

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Samuel Siewert

California State University-Chico

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Matthew Chung

University of California Riverside

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