AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Telomere repeats-binding bouquet formation protein 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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 effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive 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

Q8NHR7

UPID:

TERB2_HUMAN

Alternative names:

-

Alternative UPACC:

Q8NHR7

Background:

Telomere repeats-binding bouquet formation protein 2 plays a pivotal role in meiosis, specifically in telomere attachment to the nucleus inner membrane. This process is essential for homologous pairing and synapsis, facilitated by the MAJIN-TERB1-TERB2 complex, which the protein is a component of. The complex's interaction with telomeric DNA and the shelterin/telosome complex is crucial for telomere cap exchange and the protection of telomeric chromosomes.

Therapeutic significance:

The protein's involvement in Spermatogenic failure 59, a male infertility disorder due to sperm maturation arrest, highlights its potential as a target for therapeutic intervention. Understanding the role of Telomere repeats-binding bouquet formation protein 2 could open doors to potential therapeutic strategies.

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