Author

Maozu Guo

Beijing University of Civil Engineering and ArchitectureORCID 0000-0001-6228-6276Unclaimed ORCID profile · follow to get notified of new preprints

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Maozu Guo1 paper · School of Intelligent Technology, Beijing University of Civil Engineering and Architecture, Beijing, China;

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:ATAC-seq· 1 Assay:ChIP-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:multiome· 1 Assay:protein sequence· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chao SongiD· 1 shared Chunquan LiiD· 1 shared Guorui ZhangiD· 1 shared Hao ZhangiD· 1 shared Jianing ZhangiD· 1 shared Lei YuiD· 1 shared Liyuan LiuiD· 1 shared Mingxue YiniD· 1 shared

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2024-2026 · peak 1/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Chao SongORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 27, 2026

MPFIL: Multi-Level Protein Feature Integration for Predicting Mutation-Induced Protein-Protein Binding Affinity Changes

Hao Zhang, Yang Liu, Lei Yu, Maozu Guo

MPFIL predicts mutation-induced changes in protein-protein binding affinity by integrating structural and sequential features across multiple levels.

DOI 10.64898/2026.10.22.760922

protein sequencedeep learning

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BioinformaticsbioRxivPreprintMay 17, 2024

TRAPT: A multi-stage fused deep learning framework for transcriptional regulators prediction via integrating large-scale epigenomic data

Guorui Zhang, Chao Song, Mingxue Yin…·Chunquan Li

TRAPT predicts transcriptional regulators by integrating multi-omics epigenomic data, outperforming existing methods in identifying co-factors and chromatin regulators.

DOI 10.1101/2024.05.17.594242

ATAC-seqChIP-seq

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