Focused On-demand Library for Condensin complex subunit 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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Barren homolog protein 1; Chromosome-associated protein H; Non-SMC condensin I complex subunit H; XCAP-H homolog

Alternative UPACC:

Q15003; B4E189; Q8TB87


Condensin complex subunit 2, known by alternative names such as Barren homolog protein 1 and Non-SMC condensin I complex subunit H, plays a pivotal role in chromatin structure modification. It is essential for converting interphase chromatin into mitotic-like condensed chromosomes, facilitating accurate DNA replication and cell division. This protein's involvement in early neurogenesis, particularly in ensuring proper mitotic chromosome condensation in neuron stem cells, is crucial for brain development and cortex size.

Therapeutic significance:

Linked to Microcephaly 23, primary, autosomal recessive, a condition characterized by significantly reduced head circumference and brain weight, Condensin complex subunit 2's mutation underscores its critical role in neurodevelopment. Understanding the role of Condensin complex subunit 2 could open doors to potential therapeutic strategies for treating microcephaly and related neurodevelopmental disorders.

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