| Literature DB >> 34332092 |
Mariia Radaeva1, Anh-Tien Ton1, Michael Hsing1, Fuqiang Ban1, Artem Cherkasov2.
Abstract
Transcription factors (TFs) act as major oncodrivers in many cancers and are frequently regarded as high-value therapeutic targets. The functionality of TFs relies on direct protein-DNA interactions, which are notoriously difficult to target with small molecules. However, this prior view of the 'undruggability' of protein-DNA interfaces has shifted substantially in recent years, in part because of significant advances in computer-aided drug discovery (CADD). In this review, we highlight recent examples of successful CADD campaigns resulting in drug candidates that directly interfere with protein-DNA interactions of several key cancer TFs, including androgen receptor (AR), ETS-related gene (ERG), MYC, thymocyte selection-associated high mobility group box protein (TOX), topoisomerase II (TOP2), and signal transducer and activator of transcription 3 (STAT3). Importantly, these findings open novel and compelling avenues for therapeutic targeting of over 1600 human TFs implicated in many conditions including and beyond cancer.Entities:
Keywords: AI; Cancer; Computer-aided drug discovery; Drugs; Protein–DNA interactions; Transcription factor
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Year: 2021 PMID: 34332092 DOI: 10.1016/j.drudis.2021.07.018
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851