FAPM: functional annotation of proteins using multimodal models beyond structural modeling

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Publication Details

Journal
Bioinformatics
Published
2024-11-12
DOI
https://doi.org/10.1093/bioinformatics/btae680
Citations
7
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
1.64

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article

FAPM: functional annotation of proteins using multimodal models beyond structural modeling

Qian Shi, Zunyun Fu, Jiacheng Xiong, Wei Zhang et al.
7 citations
Bioinformatics
Machine Learning in Bioinformatics
1.64
article

FAPM: functional annotation of proteins using multimodal models beyond structural modeling

Qian Shi, Zunyun Fu, Jiacheng Xiong, Wei Zhang, Zhaoping Xiong, Mingyue Zheng, Huan Chen, Liwen Liu, Wenkai Xiang
article en
7 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(12)
Chinese Academy of Sciences (CN), Shanghai Library (CN), Shanghai Institute of Materia Medica (CN), Suzhou Vocational Institute of Industrial Technology (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Shanghai Rising-Star Program, National Key Research and Development Program of China
Quality Education
Openalex Percentile: Top 16%
Machine Learning in Bioinformatics
1.64
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FAPM: functional annotation of proteins using multimodal models beyond structural modeling — Qian Shi, Zunyun Fu, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS