Focused On-demand Library for V-type proton ATPase subunit e 1

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.

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 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.

Key features that set our library apart include:

The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

O15342

UPID:

VA0E1_HUMAN

Alternative names:

V-ATPase 9.2 kDa membrane accessory protein; V-ATPase M9.2 subunit; Vacuolar proton pump subunit e 1

Alternative UPACC:

O15342; B2R557; D3DQM1; Q6IBE8

Background:

V-type proton ATPase subunit e 1, also known as V-ATPase 9.2 kDa membrane accessory protein, plays a crucial role in cellular processes by being a part of the V0 complex of vacuolar(H+)-ATPase. This enzyme is pivotal for acidifying and maintaining the pH of intracellular compartments. Its presence in certain cell types on the plasma membrane aids in acidifying the extracellular environment, showcasing its versatility.

Therapeutic significance:

Understanding the role of V-type proton ATPase subunit e 1 could open doors to potential therapeutic strategies.