Focused On-demand Library for Phosducin-like protein 3

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

Q9H2J4

UPID:

PDCL3_HUMAN

Alternative names:

HTPHLP; PhPL3; Viral IAP-associated factor 1

Alternative UPACC:

Q9H2J4; B2RA00; Q53S68

Background:

Phosducin-like protein 3, known by alternative names such as HTPHLP, PhPL3, and Viral IAP-associated factor 1, plays a crucial role in cellular processes. It acts as a chaperone for the VEGF receptor KDR/VEGFR2, enhancing its stability by preventing ubiquitination and degradation. Additionally, it inhibits the folding activity of the CCT complex, affecting cytoskeletal actin folding, and collaborates with HSP90 and HSP40/70 during heat shock. Its involvement in modulating caspase activation during apoptosis highlights its multifaceted biological functions.

Therapeutic significance:

Understanding the role of Phosducin-like protein 3 could open doors to potential therapeutic strategies.