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Pinpin, L. N.

Publications and source records attributed to Pinpin, L. N..

2 recordsLinked to original sources

The Structure of the Picornaviral 2C:RNA holoenzyme: Molecular Basis of RNA binding and specificity by a AAA+ protein

Picornaviruses are one of the leading agents of animal and human infectious disease with at least 8 billion infections a year and cause a range of symptoms including respiratory failure and acute flaccid myelitis1. The most conserved nonstructural protein in picornaviruses is 2C2, a member of the AAA+ family of ATPases that binds RNA, and a broad spectrum antiviral target3-5. Despite its crucial role in the viral life cycle and as a clinical target, no structure of 2C bound to RNA has been structurally determined. Here we present the first structure of 2C as a hexamer bound to single stranded RNA in its central pore; a novel AAA+ protein:substrate interaction. Using the 2C:RNA holoenzyme complex structure, we characterize the mode that this AAA+ protein employs to specifically bind single stranded RNA, and demonstrate that mutations to key residues inhibit both RNA binding and viral replication in Apthovirus and Enterovirus systems, and show that the core residues responsible for binding are broadly conserved in viruses beyond Picornaviridae. Finally, we reveal that the 2C:RNA holoenzyme complex is conformationally more similar to a protein translocase adapted to bind RNA rather than other viral DNA binding SF3 helicases, underscoring how the AAA+ core module can be adapted for a variety of biochemical substrates.

biophysics↗

yakRNA Design: A semantic multimodal RNA composer

Like proteins, RNAs have been a target for exploitation to generate synthetic molecules that can adopt enhanced and novel functions1. High-throughput assays2, combined with meticulous biochemistry, have led to the generation of some artificial RNAs but the ability to algorithmically program RNAs with an intended function remains difficult. While generative models have revolutionized protein design3,4, RNA design remains challenging due to the dearth of 3D RNA structures. Here we present You Always Know RNA (yakRNA) Design, a frontier language model that can simultaneously reason over sequence, biological function, consensus sequence, and secondary structure to generate functional RNAs. yakRNA Design is not trained on any 3D structural information but rather co-learned over a corpus of semantically labeled sequences that we designed. yakRNA Design, without any human intervention, fine-tuning, sequence optimization, scoring or selection, zero-shot designed 17 (out of 84 total designs) synthetic RNAs that were able to efficiently induce ribosomes to change their reading frames during elongation at rates comparable to or higher than most natural sequences. One of these efficient synthetic RNAs was found to have no identity to any sequence in the known universe, demonstrating how a model with semantic understanding of RNA has rich generative capabilities.

synthetic biology↗