Unsolved Problems

Unsolved Problems

Unsolved Problems

Capsid Fitness and Manufacturability

→ Simon Pacouret, …, Fatma Elzahraa Eid, Andrew Barry, Yujia Alina Chan, Ken Chan, Benjamin Deverman. A Modular Capsid Engineering Platform to Confer Neutralizing Antibody Evasion to CNS and muscle targeted AAVs. ASGCT, 2026.


Fatma Elzahraa Eid, Albert Chen, Ken Chan, Qin Huang, …, Benjamin E Deverman. The Machine Learning-Guided Fit4Function Platform Quantitatively Profiles the Biodistribution of Peptide-Modified AAV Capsids after a Single Round of Screening in Macaque. ASGCT, 2023.


→ Simon Pacouret, Fatma Elzahraa Eid, William Donahoe, Ken Y Chan, Jason Wu, Qingxia Zheng, Casey Keyes, Pamela Brauer, Albert Chen, Yujia A Chan, Benjamin Deverman. Development of Stabilized AAV Capsids for Vector Engineering. ASGCT, 2023.


Fatma Elzahraa Eid, Ken Y Chan, Albert T Chen, Qin Huang, …, Benjamin E Deverman. Fit4Function: A Machine Learning-Guided Approach for Systematic Multi-Trait AAV Capsid Engineering. ASGCT, 2022.


Fatma Elzahraa Eid, Ken Chan, Albert T Chen, Isabelle G Tobey, Qin Huang, Qingxia Zheng, Yujia Alina Chan, Ben Deverman. Machine Learning-Accelerated AAV Engineering through the Generation of Production-Fit Capsid Libraries. ASGCT, 2021.


→ Benjamin Deverman, Fatma Elzahraa Eid, Ken Chan. Machine learning accelerated protein engineering through fitness prediction. US Patent App, 17/244,774, 2021.


Receptor-Mediated and Targeted Discovery

Fatma Elzahraa Eid. ReceptorFit: Receptor-informed, programmable design of AAV capsid insertion peptides. ASGCT, 2026.


→ Ken Chan, Chin-Yen Lin, Simon Pacouret, Qin Huang, …, Fatma Elzahraa Eid, Jarrett Rios, Yujia Alina Chan, Benjamin Deverman. Second Generation Human Transferrin Receptor Targeted AAV Capsids With Enhanced CNS Tropisms and Liver Detargeting In Vivo. ASGCT, 2025.


→ Ken Y Chan, Qin Huang, …, Fatma Elzahraa Eid, Yujia A Chan, Benjamin E Deverman. Second Generation AAV Capsids Reprogrammed to Bind Human Transferrin Receptor are Targeted to the Brain and De-Targeted from the Liver in Human TFRC Knock-In Mice. ASGCT, 2024.


→ Nuria Roxana Botticello-Romero, Jason Wu, Qin Huang, Thomas Beddow, Ken Y Chan, Pamela Brauer, Fatma Elzahraa Eid, Alina Chan, Benjamin E Deverman. Human CA4-Targeting AAV Capsids Efficiently Transduce the CNS in Humanized Mice. ASGCT, 2024.


→ Andrew J Barry, Fatma Elzahraa Eid, Ken Y Chan, Qin Huang, Jencilin Johnston, Benjamin E Deverman. Generative Networks Create Novel Receptor Targeted AAVs with Only 1,200 Training Examples. ASGCT, 2023.


→ Ken Y Chan, Qin Huang, …, Fatma Elzahraa Eid, Yujia A Chan, Benjamin E Deverman. AAV-Mediated CNS-Wide Gene Delivery via a De Novo Engineered Capsid-Human Receptor Interaction. ASGCT, 2023.


Multi-Trait Engineering

Fatma Elzahraa Eid, Ken Y Chan, Albert T Chen, Qin Huang, …, Benjamin E Deverman. Fit4Function: A Machine Learning-Guided Approach for Systematic Multi-Trait AAV Capsid Engineering. ASGCT, 2022.


AAV immunogenicity

→ Simon Pacouret, Ken Chan, …, Fatma Elzahraa Eid, Andrew Barry, Yujia Alina Chan, Benjamin Deverman. Antibody-evading AAV capsids compatible with CNS and muscle-targeting modifications. ASGCT, 2025.


→ Simon Pacouret, …, Fatma Elzahraa Eid, Andrew J Barry, Yujia A Chan, Ken Y Chan, Benjamin E Deverman. Engineering Human CNS Receptor-Targeted Capsids for Improved Antibody Evasion. ASGCT, 2024.


→ Simon Pacouret, Ken Y Chan, Fatma Elzahraa Eid, …, Benjamin E Deverman. Developing Blood-Brain Barrier-Crossing AAV9 Variants with Reduced Sensitivity to Neutralizing Antibodies. ASGCT, 2023.


Auditing bioML for Generalization

Current Programs


→ Transferability Across Species

→ Dual-loop and Long-length/ High-Burden Capsid Engineering

→ Multi-trait/ Cross-species AAV Engineering from Disjoint Screens

→ Affordable AAV-ML from Hisotrical and Noisy Screens



→ Transferability Across Species

→ Dual-loop and Long-length/ High-Burden Capsid Engineering

→ Multi-trait/ Cross-species AAV Engineering from Disjoint Screens

→ Affordable AAV-ML from Hisotrical and Noisy Screens