Focused On-demand Library for Putative ATP-dependent RNA helicase DDX11-like protein 8

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

Several key aspects differentiate our library:

Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

A8MPP1

UPID:

D11L8_HUMAN

Alternative names:

DEAD/H box protein 11-like 8

Alternative UPACC:

A8MPP1

Background:

The Putative ATP-dependent RNA helicase DDX11-like protein 8, also known as DEAD/H box protein 11-like 8, plays a crucial role in cellular processes as a putative DNA helicase. Its involvement in unwinding DNA helices is essential for various biological functions, including transcription, replication, and repair mechanisms.

Therapeutic significance:

Understanding the role of Putative ATP-dependent RNA helicase DDX11-like protein 8 could open doors to potential therapeutic strategies. Its fundamental role in DNA and RNA processing highlights its potential as a target for drug discovery, aiming to modulate its activity in disease contexts.