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DOI 10.1371/journal.pone.0010126

Медицинская библиотека · PloS one · 2010

Discovery of selective inhibitors against EBNA1 via high throughput in silico virtual screening.

Li Ning, Thompson Scott, Schultz David C, Zhu Weiliang, Jiang Hualiang, Luo Cheng, Lieberman Paul M

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Epstein-Barr Virus (EBV) latent infection is associated with several human malignancies and is a causal agent of lymphoproliferative diseases during immunosuppression. While inhibitors of herpesvirus DNA polymerases, like gancyclovir, reduce EBV lytic cycle infection, these treatments have limited efficacy for treating latent infection. EBNA1 is an EBV-encoded DNA-binding protein required for viral genome maintenance during latent infection.

METHODOLOGY: Here, we report the identification of a new class of small molecules that inhibit EBNA1 DNA binding activity. These compounds were identified by virtual screening of 90,000 low molecular mass compounds using computational docking programs with the solved crystal structure of EBNA1. Four structurally related compounds were found to inhibit EBNA1-DNA binding in biochemical assays with purified EBNA1 protein. Compounds had a range of 20-100 microM inhibition of EBNA1 in fluorescence polarization assays and were further validated for inhibition using electrophoresis mobility shift assays. These compounds exhibited no significant inhibition of an unrelated DNA binding protein. Three of these compounds inhibited EBNA1 transcription activation function in cell-based assays and reduced EBV genome copy number when incubated with a Burkitt lymphoma cell line.

CONCLUSIONS

These experiments provide a proof-of-principle that virtual screening can be used to identify specific inhibitors of EBNA1 that may have potential for treatment of EBV latent infection.

Для цитирования: Li Ning, Thompson Scott, Schultz David C, Zhu Weiliang, Jiang Hualiang, Luo Cheng, Lieberman Paul M. Discovery of selective inhibitors against EBNA1 via high throughput in silico virtual screening.. PloS one. 2010. DOI: 10.1371/journal.pone.0010126.

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