AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Condensin-2 complex subunit D3

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner 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.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide 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.

partner

Reaxense

upacc

P42695

UPID:

CNDD3_HUMAN

Alternative names:

Non-SMC condensin II complex subunit D3

Alternative UPACC:

P42695; A6NFS2; Q4KMQ9

Background:

Condensin-2 complex subunit D3, also known as Non-SMC condensin II complex subunit D3, plays a pivotal role in mitotic chromosome architecture and neurogenesis. It is essential for the condensation of chromosomes during mitosis, ensuring their correct segregation into daughter cells. This protein is specifically required for resolving DNA intertwines and decatenating centromeric ultrafine DNA bridges during anaphase, which is crucial for maintaining genomic stability.

Therapeutic significance:

Given its critical function in neurogenesis and chromosome condensation, Condensin-2 complex subunit D3 is linked to Microcephaly 22, a condition characterized by reduced brain size and cortex. Understanding the role of Condensin-2 complex subunit D3 could open doors to potential therapeutic strategies for treating microcephaly and related neurological disorders.

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