Focused On-demand Library for Inducible T-cell costimulator

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

We use our state-of-the-art dedicated workflow for designing 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.

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

Q9Y6W8

UPID:

ICOS_HUMAN

Alternative names:

Activation-inducible lymphocyte immunomediatory molecule

Alternative UPACC:

Q9Y6W8; Q8N6W8

Background:

The Inducible T-cell costimulator, also known as Activation-inducible lymphocyte immunomediatory molecule, plays a pivotal role in enhancing T-cell responses to antigens. It is crucial for T and B-cell interaction, antibody responses to T-cell dependent antigens, and prevents apoptosis of pre-activated T-cells. Its involvement in CD40-mediated class switching of immunoglobulin isotypes underscores its importance in immune response.

Therapeutic significance:

Linked to Immunodeficiency, common variable, 1, due to its role in B-cell differentiation and immunoglobulin secretion, understanding the Inducible T-cell costimulator could pave the way for innovative treatments for antibody deficiencies and recurrent bacterial infections.