AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for LEM domain-containing protein 2

Available from Reaxense
Predicted by Alphafold

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.

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.

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.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse 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

Q8NC56

UPID:

LEMD2_HUMAN

Alternative names:

-

Alternative UPACC:

Q8NC56; B4DVH5; E7EVT2; Q5T972; Q5T974

Background:

LEM domain-containing protein 2 plays a pivotal role in nuclear structure organization, ensuring the integrity of the nuclear envelope and its reformation post-mitosis. It acts as a transmembrane adapter for ESCRT, aiding in ESCRT-mediated nuclear envelope reformation. This protein is crucial in organizing heterochromatin associated with the nuclear envelope and maintaining its organization under mechanical stress, highlighting its significance in cellular architecture.

Therapeutic significance:

LEM domain-containing protein 2 is implicated in Cataract 46, juvenile-onset, with or without arrhythmic cardiomyopathy, and Marbach-Rustad progeroid syndrome. Understanding the role of LEM domain-containing protein 2 could open doors to potential therapeutic strategies for these conditions, emphasizing the importance of targeted research in uncovering novel treatments.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.