Current Projects:
Building a “Virtual Cell”
We are pioneering the development of a “Virtual Cell,” using AI to predict and control cellular behavior. By integrating high-content single-cell data with machine learning, we aim to create a foundational model of cellular biology capable of reprogramming cells, uncovering new mechanisms, and accelerating drug discovery. This innovative approach has the potential to solve complex challenges in genetic disease, cancer, and aging, and beyond. As part of this effort, we are collecting the largest single-cell dataset ever compiled to build the largest biology model ever built.
New modalities for disease treatment and human augmentation
Combining pooled screening approaches, single cell readouts, and machine learning methods, we are screening for new classes of peptide and protein drugs to treat diverse diseases and augment the human condition (e.g. neuromodulation). We are applying this model in multiple contexts, including muscle aging, inflammatory responses, immune system rejuvenation, and neural circuit modulation.
Aging therapeutics, rejuvenation, and life span extension
We are applying novel molecular tools and approaches our lab has developed over the past few years to develop molecular signatures of aging and rejuvenate diverse aged tissues, including hematopoietic stem cells, muscle, and the immune system.
Large language models for directed evolution and protein engineering
We are building the largest and most advanced models for protein design and engineering using generative foundation models and groundbreaking few-shot learning approaches. By integrating protein language models with active learning, we can accelerate the evolution of proteins, achieving dramatic improvements in protein function with minimal experimental rounds. This work paves the way for unparalleled advancements in protein engineering with applications across antibody therapies, genome editing, delivery, diagnostics, and sustainability/climate change.
Nucleic Acid Delivery
The efficient delivery of nucleic acids into cells beyond the liver is critical for developing new gene and cell therapies. Our lab is leveraging the natural biology of nanoparticles and protein engineering to develop programmable delivery solutions to target extra-hepatic tissues.
New gene editing tools
We have multiple projects creating novel systems to perturb and modify DNA and RNA. We deploy rational engineering methods, machine learning, and natural enzyme discovery, we hope to develop tools to unlock new classes of gene and cell therapies.
Contact: hello-abugoot [at] mit.edu (hello-abugoot[at]mit[dot]edu)
Location: MIT and Longwood