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

Cancer BiologybioRxivPreprintNov 18, 2022

Computational structure prediction methods enable the systematic identification of oncogenic mutations

X. Fu, C. Reglero, V. Swamy…·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.

DOI 10.1101/2022.11.18.517015

humanwhole-exome sequencing

𝕏 PostBluesky

Cancer BiologybioRxivMay 21, 2022

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

O. Lancho, A. Singh, V. da Silva-Diz…·D. Herranz

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

DOI 10.1158/2643-3230.bcd-22-0098

humanproteomics

𝕏 PostBluesky