
Computationally Driven-Genetically Engineered Materials Program
Computationally Driven-Genetically Engineered Materials is a National Science Foundation program (DMR-1728858) supported by collaborative research through Designing Materials to Revolutionize and Engineer Our Future, which focuses on creating theranostic materials. Members of the Preclinical Imaging Laboratory, NYU Tandon School of Engineering, and NYU are participating in this initiative.
Theranostic materials are emerging as promising targeted therapeutic scaffolds. These materials take advantage of high-capacity biomaterials to deliver drugs of interest in combination with various imaging modalities. In this project, we intend to develop theranostic coiled-coil protein fibers through computational design and experimental analysis with the objective to predictably achieve the following aims:
- control the self-assembly into fibers on the mesoscale with functional capability of small molecule recognition
- integrate noncanonical fluorinated amino acids that encode thermostability and traceability
- biomineralize and organize Fe3O4NPs onto the protein fiber substrates leading to image-ready bionanocomposites with magnetic properties
Principal Investigators
Richard Bonneau, PhD
Jin K. Montclare, PhD
Postdocs and Students
Erika Delgado-Fukushima
Lindsay Hill
Priya Katyal, PhD
Kamia Punia, PhD
Doug Renfrew, PhD
Shamim Reza, PhD
Xuan Xie
Outreach
Our outreach team includes mentors and teachers.
Outreach Mentors
Serena Monique Jones
Priya Katyal, PhD
Jin K. Montclare, PhD
Madeleine P. Nicolas
Xuan Xie
Outreach Teachers
Dorothy Cupka
Damon Noland
Collaborators
Jeffery J. Gray, PhD
John Karanicolas, PhD
Kent Krishenbaum, PhD
Brain Kuhlam, PhD
Jens Meiler, PhD