AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Centromere protein X

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 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.

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.

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

A8MT69

UPID:

CENPX_HUMAN

Alternative names:

FANCM-associated histone fold protein 2; FANCM-interacting histone fold protein 2; Fanconi anemia-associated polypeptide of 10 kDa; Retinoic acid-inducible gene D9 protein homolog; Stimulated by retinoic acid gene 13 protein homolog

Alternative UPACC:

A8MT69; O00281; O00282; Q96DD4; Q96F51

Background:

Centromere protein X, also known as FANCM-associated histone fold protein 2, plays a pivotal role in DNA repair and chromosomal stability. It is a key component of the Fanconi anemia (FA) core complex, essential for the FA pathway's activation in response to DNA damage. This protein, in collaboration with CENPS, CENPT, and CENPW, is crucial for kinetochore-microtubule attachment and mitotic progression.

Therapeutic significance:

Understanding the role of Centromere protein X could open doors to potential therapeutic strategies.

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