AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Gap junction gamma-2 protein

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated 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.

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.

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

Q5T442

UPID:

CXG2_HUMAN

Alternative names:

Connexin-46.6; Connexin-47; Gap junction alpha-12 protein

Alternative UPACC:

Q5T442; O43440; Q7Z7J2; Q8IWJ9

Background:

The Gap junction gamma-2 protein, also known as Connexin-47, plays a pivotal role in cell communication, facilitating the diffusion of materials between cells. This protein is integral to the formation of gap junctions, consisting of connexon channel pairs, crucial for myelination in the nervous systems.

Therapeutic significance:

Linked to diseases such as Leukodystrophy, hypomyelinating, 2, Spastic paraplegia 44, and Lymphatic malformation 3, the Gap junction gamma-2 protein's role in these conditions underscores its potential as a target for therapeutic intervention. Understanding its function could lead to breakthroughs in treating these debilitating diseases.

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