AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein PAT1 homolog 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, 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 sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

C9JE40

UPID:

PATL2_HUMAN

Alternative names:

PAT1-like protein 2; Protein PAT1 homolog a

Alternative UPACC:

C9JE40

Background:

Protein PAT1 homolog 2, also known as PAT1-like protein 2 and Protein PAT1 homolog a, plays a crucial role in cellular processes as an RNA-binding protein that acts as a translational repressor. Its involvement in the regulation of RNA stability and translation underscores its importance in cellular homeostasis and developmental processes.

Therapeutic significance:

The protein is directly linked to Oocyte/zygote/embryo maturation arrest 4, an autosomal recessive infertility disorder. This association highlights the protein's critical role in reproductive health, specifically in oocyte maturation and early embryonic development. Understanding the role of Protein PAT1 homolog 2 could open doors to potential therapeutic strategies for treating infertility disorders.

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