RankNovo: A Universal Reranking Approach for Robust De Novo Peptide Sequencing

preprint · OpenReview · 2024

preprint · OpenReview · 2024. Zijie Qiu et al.
Date 2024-11-20
Type preprint
Venue OpenReview
Publisher OpenReview
Contribution post-processor
Link https://openreview.net/forum?id=87B3zDRMjv

Authors

  1. Zijie Qiu · Fudan University, Shanghai Artificial Intelligence Laboratory
  2. Jiaqi Wei · Shanghai Artificial Intelligence Laboratory, Zhejiang University
  3. Xiang Zhang (Shanghai AI Lab) · Fudan University, Shanghai Artificial Intelligence Laboratory, University of British Columbia
  4. Sheng Xu · Fudan University, Shanghai Artificial Intelligence Laboratory
  5. Kai Zou · Shanghai Artificial Intelligence Laboratory
  6. Zhi Jin · Shanghai Artificial Intelligence Laboratory, Soochow University
  7. Zhiqiang Gao · Shanghai Artificial Intelligence Laboratory
  8. Nanqing Dong · Shanghai Artificial Intelligence Laboratory, Shanghai Innovation Institute
  9. Siqi Sun · Fudan University, Shanghai Artificial Intelligence Laboratory

Methods and tools

  • ByNovo: RankNovo’s in-house base model with an auxiliary b/y ion head
  • RankNovo: Universal reranking

Trained on

Evaluated on

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