AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein shortage in chiasmata 1 ortholog

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 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 top-notch dedicated system is used to design specialised libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q5VXU9

UPID:

SHOC1_HUMAN

Alternative names:

Protein ZIP2 homolog

Alternative UPACC:

Q5VXU9; A2A2V3; Q2M1H8; Q96M73

Background:

Protein shortage in chiasmata 1 ortholog, also known as Protein ZIP2 homolog, plays a pivotal role in meiosis, particularly in the formation of crossover recombination intermediates. It exhibits a strong affinity for single-stranded DNA and DNA branched structures, enhancing its ATPase activity in their presence. This protein is crucial for synaptonemal complex assembly, homologous chromosome pairing, and the recruitment of TEX11 and MSH4 to recombination intermediates.

Therapeutic significance:

Linked to Spermatogenic failure 75, a disorder characterized by male infertility due to non-obstructive azoospermia, understanding the role of Protein shortage in chiasmata 1 ortholog could open doors to potential therapeutic strategies.

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