Focused On-demand Library for Putative methyltransferase-like protein 15P1

Focused On-demand Libraries - Reaxense 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.

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 use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.

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

P0C7V9

UPID:

ME15P_HUMAN

Alternative names:

Methyltransferase 5 domain-containing protein 2; Methyltransferase-like protein 15 pseudogene 1

Alternative UPACC:

P0C7V9

Background:

The Putative methyltransferase-like protein 15P1, encoded by the gene with accession number P0C7V9, is classified as a probable S-adenosyl-L-methionine-dependent methyltransferase. This protein is alternatively known as Methyltransferase 5 domain-containing protein 2 and Methyltransferase-like protein 15 pseudogene 1. Its role in cellular processes is suggested to involve methylation, a critical modification affecting various biomolecules.

Therapeutic significance:

Understanding the role of Putative methyltransferase-like protein 15P1 could open doors to potential therapeutic strategies. Its involvement in methylation processes positions it as a key player in cellular regulation and disease mechanisms.