Author

Yihang Lin

Xiamen University of Technology

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

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Dachen Liu· 2 shared Hua Wang ShiiD· 2 shared Quan ZouiD· 2 shared Hongfeng Wu· 1 shared Leyi WeiiD· 1 shared Nor Ashidi Mat IsaiD· 1 shared Shouzhen Song· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

Dachen Liu

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2 papers

Recent·Most cited

GeoEPred: A Multimodal Structure-Aware Geometric Deep Learning Framework for Gram-Negative Bacterial Secreted Effector Prediction with Sequence Semantics

Shouzhen Song, Hua Wang Shi, Hongfeng Wu, Dachen Liu, Yihang Lin, Nor Ashidi Mat Isa, Quan Zou, Leyi Wei

GeoEPred improves effector protein prediction by integrating sequence and structural information to better model functional motifs and spatial conformations.

PLoS Computational Biology · Sep 30, 2026Peer-reviewedGenomics

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors

Hua Shi, Yihang Lin, Dachen Liu, Quan Zou

This paper introduces MoCETSE, a deep learning model that improves prediction of Gram-negative bacterial effector proteins by combining convolutional experts and transformers with relative positional encoding.

PLoS Computational Biology · Mar 11, 2026Peer-reviewedBioinformatics