Prabakaran Ponraj
Institute for Protein Innovation, Moderna Therapeutics (United States), Bharathidasan University, Sanofi Genzyme
About
EXECUTIVE SUMMARY
Computational biologics leader with 20+ years integrating antibody science, structural biology, and AI/ML to accelerate biologics discovery from target to clinic. Expertise spans antibody discovery and engineering, structure determination, NGS-enabled display and microfluidics screening, immune repertoire analytics, multispecifics, VHHs, and T-cell engagers. Conceived and delivered an in-silico antibody design platform at Sanofi and computationally designed a CD4 inhibitor (patented, NIH Tech Transfer Award), licensed by Gilead and advanced to Phase I as the CD4 component of a bispecific T-cell engager (amtabafusp alfa, GS-8588). Authored 75+ publications, determined the first SARS-CoV antibody-antigen complex structure (PDB: 2DD8), and developed a PDB-wide structural classification of protein-DNA complexes (Structure 2006; featured in an accompanying Structure Preview). Develops and applies AlphaFold2-Multimer, ESM, ProteinMPNN, Boltz-2, and protein/antibody language models to next-generation biologics design. Deployed and modeled complex structure predictions with AF2-Multimer and Boltz-2 on Lambda Cloud, and managed PyTorch/JAX model components, resolving mismatches and integration issues, in support of sequence-structure and sequence-function modeling of biomolecular interactions.
CORE COMPETENCIES
AI-Driven Protein & Biologics Design | De Novo Antibody Design | Generative Models (GANs, VAEs) | Antibody Discovery & Engineering | Structural Biology & Antibody-Antigen Structure Determination | Protein-DNA & Protein-Protein Interaction Analysis | Protein Engineering & Multispecifics | VHH & Novel Antibody Modalities | Immune Repertoire Analysis & Immunogenomics | Computational Biology & Bioinformatics | Protein Language Models (PLMs) | Sequence-Structure-Function Modeling | PyTorch/JAX | HPC & Cloud (Lambda Cloud) | Agentic AI-Assisted Development (Claude Code, Codex) | Platform Development | Scientific Leadership & Innovation
Employment
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Institute for Protein Innovation Associate Director, Computational Biology & Bioinformatics2025 - 2026
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Moderna Therapeutics (United States) Consultant2024 - 2025
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Sanofi Genzyme Senior Principal Scientist, AI Innovation2018 - 2024
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Intrexon Corp Germantown Senior Scientist2015 - 2018
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Sanofi Pasteur Contractor2014 - 2015
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Leidos Inc Frederick Scientist I2009 - 2014
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Duke University Senior Scientist2007 - 2009
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National Institutes of Health Post-doctoral Visiting Fellow2002 - 2007
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RIKEN Post-doctoral, STA Fellow1999 - 2002
Education
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Bharathidasan University PHD (X-ray Crystallography)1994 - 1998
Projects & Funding
Projects & funding information is unavailable.
Publications (80)
- Unveiling inverted D genes and D-D fusions in human antibody repertoires unlocks novel antibody diversity Save
- Bioinformatic Analyses of Antibody Repertoires and Their Roles in Modern Antibody Drug Discovery Save
- Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural data Save
- Honing-in antigen-specific cells during antibody discovery: a user-friendly process to mine a deeper repertoire Save
- Influenza vaccination in the elderly boosts antibodies against conserved viral proteins and egg-produced glycans. Save
- A platform-agnostic, function first-based antibody discovery strategy using plasmid-free mammalian expression of antibodies. Save
- Animal immunization merges with innovative technologies: A new paradigm shift in antibody discovery. Save
- Editorial: Next-Generation Sequencing of Human Antibody Repertoires for Exploring B-cell Landscape, Antibody Discovery and Vaccine Development. Save
- Landscape of Non-canonical Cysteines in Human VH Repertoire Revealed by Immunogenetic Analysis. Save
- Mapping of a Novel H3-Specific Broadly Neutralizing Monoclonal Antibody Targeting the Hemagglutinin Globular Head Isolated from an Elite Influenza Virus-Immunized Donor Exhibiting Serological Breadth. Save