bioRxivBiochemistryPreprint
De novo design of RNA and nucleoprotein complexes
Andrew FavoriD, Riley N. QuijanoiD, Elizaveta Chernova, Andrew KubaneyiD, Connor WeidleiD, Morgan A. EsleriD, Ryan McHughiD, Ann CarriD, Yang HsiaiD, David JuergensiD, Kenneth D. CarriD, Paul T KimiD, Yuliya PolitanskaiD, Enisha SehgaliD, Paul S. KwoniD, Robert J. PecoraroiD, Cameron J. GlasscockiD, Andrew J. BorstiD, Frank DiMaioiD, Barry L. StoddardiD, David A. BakeriD
- Citations
- 11
Abstract
Nucleic acids fold into sequence-dependent tertiary structures and carry out diverse biological functions, much like proteins. However, while considerable advances have been made in the de novo design of protein structure and function, the same has not yet been achieved for RNA tertiary structures of similar intricacy. Here, we describe a generative diffusion framework, RFDpoly, for generalized de novo biopolymer (RNA, DNA and protein) design, and use it to create diverse and designable RNA structures. We design RNA structures with novel folds and experimentally validate them using a combination of chemical footprinting (SHAPE-seq) and electron microscopy. We further use this approach to design protein-nucleic acid assemblies; the crystal structure of one such design is nearly identical to the design model. This work demonstrates that the principles of structure-based de novo protein design can be extended to nucleic acids, opening the door to creating a wide range of new RNA structures and protein-nucleic acid complexes.
- assay: scRNA-seq
- assay: proteomics
- research focus: protein design
- research focus: protein structure prediction
- approach: deep learning
- approach: diffusion model
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