| cff-version: 1.2.0 | |
| message: "If you use GenerRNA in your research, please cite the article below." | |
| title: "GenerRNA: A generative pre-trained language model for de novo RNA design" | |
| abstract: >- | |
| GenerRNA is a generative pre-trained language model for de novo RNA design, | |
| based on a Transformer decoder-only architecture. It generates novel RNA | |
| sequences in a zero-shot manner or after fine-tuning, without requiring prior | |
| structural information. | |
| type: software | |
| authors: | |
| - family-names: Zhao | |
| given-names: Yichong | |
| affiliation: "The University of Tokyo" | |
| - family-names: Oono | |
| given-names: Kenta | |
| affiliation: "Preferred Networks, Inc." | |
| - family-names: Takizawa | |
| given-names: Hiroki | |
| affiliation: "Preferred Networks, Inc." | |
| - family-names: Kotera | |
| given-names: Masaaki | |
| affiliation: "Preferred Networks, Inc." | |
| email: kotera@preferred.jp | |
| repository-code: "https://huggingface.co/pfnet/GenerRNA" | |
| url: "https://huggingface.co/pfnet/GenerRNA" | |
| license: MIT | |
| keywords: | |
| - RNA design | |
| - de novo design | |
| - generative model | |
| - language model | |
| - transformer | |
| - RNA generation | |
| - computational biology | |
| - bioinformatics | |
| - drug discovery | |
| preferred-citation: | |
| type: article | |
| title: "GenerRNA: A generative pre-trained language model for de novo RNA design" | |
| authors: | |
| - family-names: Zhao | |
| given-names: Yichong | |
| - family-names: Oono | |
| given-names: Kenta | |
| - family-names: Takizawa | |
| given-names: Hiroki | |
| - family-names: Kotera | |
| given-names: Masaaki | |
| journal: "PLOS ONE" | |
| year: 2024 | |
| month: 10 | |
| volume: 19 | |
| issue: 10 | |
| start: "e0310814" | |
| doi: "10.1371/journal.pone.0310814" | |
| publisher: | |
| name: "Public Library of Science" | |