AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for CD320 antigen

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 utilise our cutting-edge, exclusive workflow to develop focused 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.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q9NPF0

UPID:

CD320_HUMAN

Alternative names:

8D6 antigen; FDC-signaling molecule 8D6; Transcobalamin receptor

Alternative UPACC:

Q9NPF0; B2RDS5; D6W668; F5H6D3; Q53HF7

Background:

CD320 antigen, also known as the transcobalamin receptor, plays a crucial role in cobalamin (vitamin B12) uptake, essential for cellular metabolism and DNA synthesis. Expressed on follicular dendritic cells, it mediates B cell interaction, promoting their differentiation and proliferation. This receptor's interaction with germinal center B cells is pivotal for memory B-cell and plasma cell development.

Therapeutic significance:

The protein's involvement in methylmalonic aciduria, a metabolic disorder characterized by abnormal cobalamin uptake, underscores its therapeutic potential. Understanding CD320's role could open doors to novel strategies for managing this condition.

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