π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing

X Xiang Zhang T Tianze Ling Z Zhi Jin S Sheng Xu Z Zhiqiang Gao B Boyan Sun Z Zijie Qiu (School of Science and Engineering, Guangdong Basic Research Center of Excellence for Aggregate Science, Shenzhen Institute of Aggregate Science and Technology) J Jiaqi Wei (Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore) N Nanqing Dong G Guangshuai Wang G Guibin Wang L Leyuan Li M Muhammad Abdul-Mageed L Laks V. S. Lakshmanan F Fuchu He W Wanli Ouyang C Cheng Chang S Siqi Sun

Article Details

Volume / Issue Vol. 16, Issue 1
Published January 02, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (18)

X

Xiang Zhang

T

Tianze Ling

Z

Zhi Jin

S

Sheng Xu

Z

Zhiqiang Gao

B

Boyan Sun

Z

Zijie Qiu

School of Science and Engineering, Guangdong Basic Research Center of Excellence for Aggregate Science, Shenzhen Institute of Aggregate Science and Technology

J

Jiaqi Wei

Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore

N

Nanqing Dong

G

Guangshuai Wang

G

Guibin Wang

L

Leyuan Li

M

Muhammad Abdul-Mageed

L

Laks V. S. Lakshmanan

F

Fuchu He

W

Wanli Ouyang

C

Cheng Chang

S

Siqi Sun