AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Histone H1.4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher activity, selectivity, and safety.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

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

P10412

UPID:

H14_HUMAN

Alternative names:

Histone H1b; Histone H1s-4

Alternative UPACC:

P10412; Q4VB25

Background:

Histone H1.4, also known as Histone H1b or Histone H1s-4, plays a pivotal role in DNA packaging into chromatin, facilitating the orderly storage of genetic information. This protein binds to linker DNA between nucleosomes, contributing to the higher-order structure of chromatin. It is instrumental in regulating gene transcription through mechanisms such as chromatin remodeling, nucleosome spacing, and DNA methylation.

Therapeutic significance:

Histone H1.4's involvement in Rahman syndrome, a condition marked by intellectual disability and overgrowth, underscores its potential as a target for therapeutic intervention. Understanding the role of Histone H1.4 could open doors to potential therapeutic strategies for managing and treating Rahman syndrome.

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