Author

D. H. Tran

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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Biochemistry· 1 Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

Frequent Co-Authors

B. Q. T. Nguyen· 2 shared H. Giang· 2 shared H. T. Nguyen· 2 shared H. T. P. Nguyen· 2 shared H.-N. Nguyen· 2 shared L. S. Tran· 2 shared M.-D. Phan· 2 shared M.-T. Le· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

B. Q. T. Nguyen

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The T Cell Receptor beta Chain Repertoire of Tumor Infiltrating Lymphocytes Improves Neoantigen Prediction and Prioritization

T. M. Q. Pham, T. N. Nguyen, B. Q. T. Nguyen, H. T. P. Nguyen, T. P. D. Tran, N. M. D. Pham, T. K. C. Ho, D. V. L. Nguyen, H. T. Nguyen, D. H. Tran, T. S. Tran, T.-V. N. Pham, M.-T. Le, T. T. V. Nguyen, M.-D. Phan, , L. S. Tran

This paper develops a machine learning model that integrates TCRβ and pHLA binding data to improve neoantigen prioritization in colorectal cancer, showing better performance than existing tools.

bioRxiv · Nov 16, 2023Cancer Biology

Improvement in Neoantigen Prediction via Integration of RNA Sequencing Data for Variant Calling

B. Q. T. Nguyen, T. P. D. Tran, H. T. Nguyen, T. N. Nguyen, T. M. Q. Pham, H. T. P. Nguyen, D. H. Tran, T. T. V. Nguyen, T. S. Tran, T.-V. N. Pham, M.-T. Le, M.-D. Phan, H. Giang, H.-N. Nguyen, L. S. Tran

This study improves neoantigen prediction by integrating RNA sequencing data with DNA sequencing to identify more immunogenic neoantigens in colorectal cancer patients.

bioRxiv · Jul 2, 2023 · PreprintImmunology

Cyclic peptides can engage a single binding pocket through multiple, entirely divergent modes

K. Patel, L. J. Walport, J. L. Walshe, P. Solomon, J. K. K. Low, D. H. Tran, K. S. Mouradian, A. P. G. Silva, L. Wilkinson-White, J. M. Matthews, J. M. Guss, R. J. Payne, T. Passioura, H. Suga, J. P. Mackay

The paper identifies high-affinity, specific cyclic peptide inhibitors of BET bromodomains using RaPID screening, revealing diverse binding modes and structures.

bioRxiv · Nov 21, 2019Biochemistry