AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein-arginine deiminase type-3

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.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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 for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9ULW8

UPID:

PADI3_HUMAN

Alternative names:

Peptidylarginine deiminase III; Protein-arginine deiminase type III

Alternative UPACC:

Q9ULW8; Q58EY7; Q70SX5

Background:

Protein-arginine deiminase type-3, also known as Peptidylarginine deiminase III, plays a crucial role in the post-translational modification of proteins by catalyzing the deimination of arginine residues. This enzymatic process is pivotal in the regulation of protein function and gene expression, impacting various biological pathways.

Therapeutic significance:

Linked to Uncombable hair syndrome 1, a genetic condition marked by unique hair texture and growth patterns, understanding the role of Protein-arginine deiminase type-3 could open doors to potential therapeutic strategies. Its involvement suggests targeted treatments could ameliorate or manage symptoms, enhancing quality of life for affected individuals.

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