AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Transcription elongation factor SPT4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

P63272

UPID:

SPT4H_HUMAN

Alternative names:

DRB sensitivity-inducing factor 14 kDa subunit; DRB sensitivity-inducing factor small subunit

Alternative UPACC:

P63272; B2R4X8; D3DTZ4; Q16550; Q62387; Q6ZP89

Background:

Transcription elongation factor SPT4, also known as the DRB sensitivity-inducing factor 14 kDa subunit, plays a pivotal role in mRNA processing and transcription elongation by RNA polymerase II. It is a component of the DSIF complex, enhancing mRNA capping and cooperating with the NELF complex to regulate transcriptional pausing. This protein is essential for the efficient activation of transcriptional elongation by the HIV-1 nuclear transcriptional activator, Tat, and suppresses premature release of HIV-1 transcripts.

Therapeutic significance:

Understanding the role of Transcription elongation factor SPT4 could open doors to potential therapeutic strategies.

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