AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Lysosome-associated membrane glycoprotein 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P11279

UPID:

LAMP1_HUMAN

Alternative names:

CD107 antigen-like family member A

Alternative UPACC:

P11279; B4DWL3; Q8WU33; Q96I40; Q9BRD2; Q9NP13

Background:

Lysosome-associated membrane glycoprotein 1 (LAMP-1), also known as CD107 antigen-like family member A, is pivotal in lysosome biogenesis, autophagy, and cholesterol homeostasis. It enhances NK-cells' cytotoxicity by facilitating cytotoxic granule movement and perforin trafficking, while also protecting NK-cells from their own cytotoxic granules. LAMP-1 serves as a receptor for Lassa virus and aids in mumps virus fusion through interaction with FURIN and the mumps virus fusion protein F.

Therapeutic significance:

Understanding the role of Lysosome-associated membrane glycoprotein 1 could open doors to potential therapeutic strategies.

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