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20222026
most citedNovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics

2 citations · 6 across the 12 of their papers we have counts for

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cs.AI2023

Progressive Multi-Modality Learning for Inverse Protein Folding

Jiangbin Zheng, Stan Z. Li

While deep generative models show promise for learning inverse protein folding directly from data, the lack of publicly available structure-sequence pairings limits their generaliz…

cs.LG2023★ 1 cited

Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning

Zihan Liu, Ge Wang, Jiaqi Wang +2

Peptides are formed by the dehydration condensation of multiple amino acids. The primary structure of a peptide can be represented either as an amino acid sequence or as a molecula…