Focused On-demand Library for AF4/FMR2 family member 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 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.

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.

We employ our advanced, specialised process to create targeted 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.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.







Alternative names:

ALL1-fused gene from chromosome 5q31 protein; Major CDK9 elongation factor-associated protein

Alternative UPACC:

Q9UHB7; B2RP19; B7WPD2; Q498B2; Q59FB3; Q6P592; Q8TDR1; Q9P0E4


AF4/FMR2 family member 4, also known as ALL1-fused gene from chromosome 5q31 protein, plays a pivotal role in the super elongation complex (SEC). This complex is essential for enhancing the RNA polymerase II transcription rate by mitigating transient pauses along the DNA. AFF4 serves as a scaffold within the SEC, facilitating the recruitment of ELL proteins and the P-TEFb complex. Its involvement is also noted in HIV-1 virus gene expression, prompted by the viral Tat protein.

Therapeutic significance:

AFF4's association with CHOPS syndrome, characterized by cognitive impairment, heart defects, and skeletal dysplasia, underscores its clinical relevance. Understanding the role of AFF4 could open doors to potential therapeutic strategies for this syndrome and other related conditions.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.