AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for DNA-directed RNA polymerase II subunit RPB4

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner 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.

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.

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

O15514

UPID:

RPB4_HUMAN

Alternative names:

DNA-directed RNA polymerase II subunit D; RNA polymerase II 16 kDa subunit

Alternative UPACC:

O15514; Q52LT4

Background:

DNA-directed RNA polymerase II subunit RPB4, also known as DNA-directed RNA polymerase II subunit D, plays a pivotal role in the transcription of DNA into RNA, utilizing ribonucleoside triphosphates as substrates. It is a crucial component of RNA polymerase II, responsible for synthesizing mRNA precursors and various functional non-coding RNAs. The RPB4 subunit, in conjunction with RPB7, forms a subcomplex that significantly influences the transcription machinery's structure and function.

Therapeutic significance:

Understanding the role of DNA-directed RNA polymerase II subunit RPB4 could open doors to potential therapeutic strategies.

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