AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Myosin regulatory light chain 10

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal 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

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 stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9BUA6

UPID:

MYL10_HUMAN

Alternative names:

Myosin light chain 2, lymphocyte-specific; Precursor lymphocyte-specific regulatory light chain

Alternative UPACC:

Q9BUA6

Background:

Myosin regulatory light chain 10, also known as Myosin light chain 2, lymphocyte-specific, plays a pivotal role in muscle contraction and motility. This protein, encoded by the gene with the accession number Q9BUA6, is integral to the function of myosin in muscle and non-muscle cells, acting as a regulatory component. Its alternative names, including Precursor lymphocyte-specific regulatory light chain, highlight its specific expression and function in lymphocytes.

Therapeutic significance:

Understanding the role of Myosin regulatory light chain 10 could open doors to potential therapeutic strategies. Its unique expression in lymphocytes suggests a specialized function that, once fully elucidated, may offer novel insights into muscle contraction disorders and lymphocyte-related diseases.

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.
No Spam. Cancel Anytime.