Focused On-demand Libraries - Receptor.AI 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.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Reaxense aids in their synthesis and provision.


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 screening 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
Receptor.AI
 
UPACC
Q6F5E8

UPID:
CARL2_HUMAN

ALTERNATIVE NAMES:
Capping protein regulator and myosin 1 linker 2; F-actin-uncapping protein RLTPR; Leucine-rich repeat-containing protein 16C; RGD, leucine-rich repeat, tropomodulin and proline-rich-containing protein

ALTERNATIVE UPACC:
Q6F5E8; B8X2Z3

BACKGROUND:
The protein Capping protein, Arp2/3 and myosin-I linker protein 2, also known as Leucine-rich repeat-containing protein 16C, is integral to actin filament dynamics, cell movement, and immune cell activation. It facilitates actin polymerization, contributing to cell morphology and motility, and is essential for T-cell function and differentiation.

THERAPEUTIC SIGNIFICANCE:
Its association with Immunodeficiency 58, due to genetic variants affecting the gene, underscores its therapeutic potential. Targeting the pathways involving Capping protein, Arp2/3 and myosin-I linker protein 2 could lead to innovative treatments for immunodeficiencies, offering hope for patients with this debilitating condition.

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