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"