High-Throughput Screening to Identify Inhibitors of DEAD Box Helicase DDX41.

SLAS Discov

Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa, Japan.

Published: October 2017

The human DEAD (Asp-Glu-Ala-Asp) box protein DDX41, a member of the DEXDc helicase family, has nucleic acid-dependent ATPase and RNA and DNA translocase and unwinding activities. DDX41 is affected by somatic mutations in sporadic cases of myeloid neoplasms as well as in a biallelic fashion in 50% of patients with germline DDX41 mutations. The R525H mutation in DDX41 is thought to play important roles in the development of hereditary myelodysplastic syndrome and acute myelocytic leukemia. In this study, human DDX41 and its R525H mutant (R525H) were expressed in and purified. The ATPase activities of the recombinant DDX41 and R525H proteins were dependent on both ATP and double-stranded DNA (dsDNA), such as poly(dG-dC) and poly(dA-dT). High-throughput screening was performed with a dsDNA-dependent ATPase assay using the human R525H proteins. After hit confirmation and counterscreening, several small-molecule inhibitors were successfully identified. These compounds show DDX41-selective inhibitory activities.

Download full-text PDF

Source
http://dx.doi.org/10.1177/2472555217705952DOI Listing

Publication Analysis

Top Keywords

high-throughput screening
8
ddx41 r525h
8
r525h proteins
8
ddx41
7
r525h
5
screening identify
4
identify inhibitors
4
inhibitors dead
4
dead box
4
box helicase
4

Similar Publications

Pathogenic variants are associated with neonatal epilepsies, ranging from self-limited neonatal epilepsy to -developmental and epileptic encephalopathy (DEE). In this study, next-generation sequencing was performed, applying a panel of 142 epilepsy genes on three unrelated individuals and affected family members, showing a wide variability in the epileptic spectrum. The genetic analysis revealed two likely pathogenic missense variants (c.

View Article and Find Full Text PDF

Advancing Alzheimer's Disease Modelling by Developing a Refined Biomimetic Brain Microenvironment for Facilitating High-Throughput Screening of Pharmacological Treatment Strategies.

Int J Mol Sci

December 2024

Department of Biochemistry, Faculty of Medicine, Level 17 Preclinical Building, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, Kuala Lumpur 56000, Malaysia.

Alzheimer's disease (AD) poses a significant worldwide health challenge, requiring novel approaches for improved models and treatment development. This comprehensive review emphasises the systematic development and improvement of a biomimetic brain environment to address the shortcomings of existing AD models and enhance the efficiency of screening potential drug treatments. We identify drawbacks in traditional models and emphasise the necessity for more physiologically accurate systems through an in-depth analysis of current literature.

View Article and Find Full Text PDF

Tracking Chaperone-Mediated Autophagy Flux with a pH-Resistant Fluorescent Reporter.

Int J Mol Sci

December 2024

Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai 200438, China.

Chaperone-mediated autophagy (CMA) is a selective autophagic pathway responsible for degrading cytoplasmic proteins within lysosomes. Monitoring CMA flux is essential for understanding its functions and molecular mechanisms but remains technically complex and challenging. In this study, we developed a pH-resistant probe, KFERQ-Gamillus, by screening various green fluorescent proteins.

View Article and Find Full Text PDF

Small molecules that can bind to specific cells have broad applications in cancer diagnosis and treatment. Screening large chemical libraries against live cells is an effective strategy for discovering cell-targeting ligands. The DNA-encoded chemical library (DEL or DECL) technology has emerged as a robust tool in drug discovery and has been successfully utilized in identifying ligands for biological targets.

View Article and Find Full Text PDF

Metagenomic exploration and computational prediction of novel enzymes for polyethylene terephthalate degradation.

Ecotoxicol Environ Saf

January 2025

Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. Electronic address:

As a global environmental challenge, plastic pollution raises serious ecological and health concerns owing to the excessive accumulation of plastic waste, which disrupts ecosystems, harms wildlife, and threatens human health. Polyethylene terephthalate (PET), one of the most commonly used plastics, has contributed significantly to this growing crisis. This study offers a solution for plastic pollution by identifying novel PET-degrading enzymes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!