Author

H. Khiabanian

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

A. A. Ferrando· 1 shared A. Singh· 1 shared C. Reglero· 1 shared C. Zhao· 1 shared D. Herranz· 1 shared E. Chiles· 1 shared F. Forouhar· 1 shared H. Zheng· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. A. Ferrando

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2 papers

Recent·Most cited

Computational structure prediction methods enable the systematic identification of oncogenic mutations

X. Fu, C. Reglero, V. Swamy, J. W. Loh, H. Khiabanian, R. Albero, F. Forouhar, M. Al Quraishi, A. A. Ferrando, R. Rabadan

This paper introduces a computational method to identify oncogenic mutations by integrating evolutionary information and protein structure prediction, demonstrating its effectiveness in pediatric leukemias.

bioRxiv · Nov 18, 2022 · PreprintCancer Biology

A therapeutically targetable NOTCH1-SIRT1-KAT7 axis in T-cell Leukemia

O. Lancho, A. Singh, V. da Silva-Diz, L. Tottone, P. Renck Nunes, M. Aleksandrova, J. Khatun, S. Luo, C. Zhao, H. Zheng, E. Chiles, Z. Zuo, P. P. Rocha, X. Su, H. Khiabanian, D. Herranz

This paper identifies a NOTCH1-SIRT1-KAT7 axis in T-ALL that promotes leukemia and resistance to therapy, suggesting new therapeutic targets.

bioRxiv · May 21, 2022Cancer Biology