Unknown

Dataset Information

0

Discovery of selective bioactive small molecules by targeting an RNA dynamic ensemble.


ABSTRACT: Current approaches used to identify protein-binding small molecules are not suited for identifying small molecules that can bind emerging RNA drug targets. By docking small molecules onto an RNA dynamic ensemble constructed by combining NMR spectroscopy and computational molecular dynamics, we virtually screened small molecules that target the entire structure landscape of the transactivation response element (TAR) from HIV type 1 (HIV-1). We quantitatively predict binding energies for small molecules that bind different RNA conformations and report the de novo discovery of six compounds that bind TAR with high affinity and inhibit its interaction with a Tat peptide in vitro (K(i) values of 710 nM-169 ?M). One compound binds HIV-1 TAR with marked selectivity and inhibits Tat-mediated activation of the HIV-1 long terminal repeat by 81% in T-cell lines and HIV replication in an HIV-1 indicator cell line (IC(50) ?23.1 ?M).

SUBMITTER: Stelzer AC 

PROVIDER: S-EPMC3319144 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Discovery of selective bioactive small molecules by targeting an RNA dynamic ensemble.

Stelzer Andrew C AC   Frank Aaron T AT   Kratz Jeremy D JD   Swanson Michael D MD   Gonzalez-Hernandez Marta J MJ   Lee Janghyun J   Andricioaei Ioan I   Markovitz David M DM   Al-Hashimi Hashim M HM  

Nature chemical biology 20110626 8


Current approaches used to identify protein-binding small molecules are not suited for identifying small molecules that can bind emerging RNA drug targets. By docking small molecules onto an RNA dynamic ensemble constructed by combining NMR spectroscopy and computational molecular dynamics, we virtually screened small molecules that target the entire structure landscape of the transactivation response element (TAR) from HIV type 1 (HIV-1). We quantitatively predict binding energies for small mol  ...[more]

Similar Datasets

| S-EPMC7169885 | biostudies-literature
| S-EPMC3356481 | biostudies-literature
| S-EPMC10418101 | biostudies-literature
2024-03-12 | GSE237395 | GEO
| S-EPMC9324244 | biostudies-literature
| S-EPMC6314024 | biostudies-other
| S-EPMC6014893 | biostudies-literature
| S-EPMC5942591 | biostudies-literature
| S-EPMC6420209 | biostudies-literature
| S-EPMC3323987 | biostudies-literature