Focused On-demand Library for Macrophage-expressed gene 1 protein

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 pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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.

Our top-notch dedicated system is used to design specialised 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

Q2M385

UPID:

MPEG1_HUMAN

Alternative names:

Perforin-2

Alternative UPACC:

Q2M385; Q2M1T6; Q8TEF8

Background:

Macrophage-expressed gene 1 protein, also known as Perforin-2, is pivotal in the innate immune response to bacterial infections. It functions by forming pores in the bacterial surface, allowing antimicrobial agents to enter and degrade vital bacterial proteins. This protein exhibits broad-spectrum antibacterial activity against Gram-positive, Gram-negative, and acid-fast bacteria, highlighting its essential role in combating various pathogens.

Therapeutic significance:

Given its crucial role in immune defense, particularly in conditions like Immunodeficiency 77 where macrophages show impaired killing of intracellular bacteria, Perforin-2 represents a promising target for therapeutic intervention. Enhancing its function could lead to novel treatments for this and similar immunodeficiencies.