Author

A. Terskikh

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· 1 Cell Biology· 1 Immunology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:virus· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

C.-T. Huang· 3 shared C. Farhy· 2 shared S. Shiryaev· 2 shared A. Amador-Arjona· 1 shared A. Cheltsov· 1 shared C. Forsberg· 1 shared C.-H. Chuang· 1 shared D. Andrews· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersPharmacology & Toxicology

C.-T. Huang

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4 papers

Recent·Most cited

DUAL FUNCTION OF ZIKA VIRUS NS2B-NS3 PROTEASE

S. Shiryaev, P. Cieplak, A. Cheltsov, R. C. Liddington, A. Terskikh

This study identifies a novel RNA-binding function of ZIKV NS2B-NS3pro, showing that RNA binding occurs in the open conformation and is inhibited in the closed conformation.

PLOS Pathogens · Nov 27, 2023Peer-reviewedImmunology

Allosteric inhibitors of Zika virus NS2B-NS3 protease targeting protease in super-open conformation

I. Meewan, S. Shiryaev, C.-T. Huang, Y.-W. Lin, C.-H. Chuang, A. Terskikh, R. Abagyan

The paper identifies six allosteric inhibitors of ZIKV NS2B-NS3 protease targeting a super-open conformation pocket, showing low micromolar inhibition and antiviral activity.

bioRxiv · Mar 9, 2022Pharmacology & Toxicology

Canonical BMP2/4 signaling degrades SOX2 in glioblastoma propagating cells.

F. Comadamore, A. Amador-Arjona, C. Farhy, C.-T. Huang, H. Kornblum, A. Terskikh

This study shows BMP2/4 induces SOX2 degradation in glioblastoma propagating cells, leading to differentiation into glial cells and reduced proliferation.

bioRxiv · Feb 3, 2022 · PreprintCancer Biology

Improving drug discovery using image-based multiparametric analysis of epigenetic landscape.

C. Farhy, S. Hariharan, J. Ylanko, L. Orozco, F.-Y. Zeng, I. Pass, F. Ugarte, C. Forsberg, C.-T. Huang, D. Andrews, A. Terskikh

This paper introduces MIEL, an image-based method for epigenetic drug screening, showing it can detect active compounds, classify functions, and predict novel drug effects with higher resolution than traditional methods.

bioRxiv · May 15, 2019Cell Biology