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验证码:

Mark Bathe, Ph.D.

职称:professor

所属学校:Massachusetts Institute of Technology

所属院系:Computational and Systems Biology

所属专业:Computational Biology

联系方式:617-324-5685

简介

B.Sc. Mechanical Engineering, MIT, 1998 M.Sc. Mechanical Engineering, MIT, 2001 Ph.D. Mechanical Engineering, MIT, 2004 Postdoctoral Fellow, University of Munich, 2005-2008 Assistant Professor, 2009-2013 Associate Professor, 2014-present

职业经历

Structural DNA Nanotechnology Synthetic nucleic acid assemblies can now be programmed to self-assemble with high structural fidelity using Watson-Crick base-pairing. This synthetic structural approach offers unprecedented control over the 3D architecture and chemical composition of large-scale macromolecular assemblies that can also be interfaced with natural and synthetic molecules inside and outside of the cell. Here, we are developing computational strategies to enable high-throughput and high fidelity design and synthesis of arbitrary geometries, sizes, and sequences of DNA-based nanostructures for diverse applications in nanobiotechnology. In related work we are exploring use of these scaffolds for organizing toxins, viral coat proteins, chromophores, enzymes, lipids, and RNAs in complex 3D architectures for applications ranging from cellular drug targeting and delivery to biosensing and chemical synthesis. This work is funded by the ONR, NSF, and HFSP. Programmed Nanoscale Energy Transport Natural photosynthetic complexes consist of highly structured geometric assemblies of chlorophyll molecules that facilitate photon adsorption and energy transfer for the production of chemical fuel. Programmed self-assembly of DNA into precise 3D architectures can now be used to organize synthetic chromophores to replicate key aspects of bacterial photosynthetic systems. In this work, we are using structure-based design algorithms to program novel energy harvesting and transfer complexes using scaffolded DNA origami. We additionally synthesize these DNA-chromophore assemblies to test their programmed function to feedback to their rational structure-based design. This work is funded by the ARO and is in collaboration with the Yan Lab and the Aspuru-Guzik Lab.

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