Author

Min Jiang

Eli Lilly (United States)ORCID 0000-0002-1407-0961Unclaimed ORCID profile · follow to get notified of new preprints

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Min Jiang3 papers · Hangzhou Normal University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Chunli ZhangiD· 1 shared Chunming ZhangiD· 1 shared Dongming Zhang· 1 shared Gang NiuiD· 1 shared Guangming TaniD· 1 shared James ShihiD· 1 shared Jiangyan FengiD· 1 shared Jing Zhang· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Chunli ZhangORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 5, 2026

Prediction of ROR1 and CAV1 expression from whole-exome sequencing of tumor tissue and plasma cfDNA to infer the efficacy of B013 plus nab-paclitaxel in triple-negative breast cancer

Min Jiang, Dongming Zhang, Yi-Ching Hsueh…·Gang Niu

The paper predicts ROR1 and CAV1 expression from whole-exome sequencing data to assess response to B013 plus nab-paclitaxel in triple-negative breast cancer, showing agreement with observed responses in 9 out of 10 patients.

DOI 10.64898/2026.09.30.26364376

humanwhole-exome sequencing

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BioinformaticsbioRxivPreprintDec 7, 2021

solPredict: Antibody apparent solubility prediction from sequence by transfer learning

Jiangyan Feng, Min Jiang, James Shih, Qing Chai

solPredict predicts antibody solubility from sequence using transfer learning, achieving high correlation with experimental data.

8 citations

protein sequencedeep learning

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