Author

Mofan Feng

Shanghai Jiao Tong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:protein sequence· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Guang HeiD· 2 shared Liangjie Liu· 2 shared Qing LüiD· 2 shared Xiaoxi WeiiD· 2 shared Keyi LiiD· 1 shared Lin LiniD· 1 shared Manying Xia· 1 shared Wenqian Yan· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Guang HeORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

PSTP: Decoding Latent Sequence Grammar for Protein Phase Separation through Transfer Learning and Attention

Mofan Feng, Liangjie Liu, Zhuo-Ning Xian, Xiaoxi Wei, Keyi Li, Wenqian Yan, Qing Lü, Yi Shi, Guang He

PSTP predicts protein phase separation regions using transfer learning and attention, achieving 84% accuracy on PhaSePro and improving correlation coefficients over existing models.

Briefings in Bioinformatics · Apr 28, 2025Peer-reviewedBioinformatics

Decoding Missense Variants by Incorporating Phase Separation via Machine Learning

Mofan Feng, Xiaoxi Wei, Xi Zheng, Liangjie Liu, Lin Lin, Manying Xia, Guang He, Yi Y. Shi, Qing Lü

PSMutPred predicts the impact of missense variants on phase separation using machine learning, improving the interpretation of variants of unknown significance in intrinsically disordered regions.

Nature Communications · Sep 27, 2024Peer-reviewedBioinformatics