Focused On-demand Library for Regulator of microtubule dynamics protein 3

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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 strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across 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.







Alternative names:

Cerebral protein 10; Protein FAM82A2; Protein FAM82C; Protein tyrosine phosphatase-interacting protein 51; TCPTP-interacting protein 51

Alternative UPACC:

Q96TC7; A9UMZ9; B3KRR3; Q6ZWE9; Q96H23; Q96SD6; Q9H6G1; Q9NVQ6


Regulator of microtubule dynamics protein 3, known by alternative names such as Cerebral protein 10 and Protein FAM82A2, plays a crucial role in cellular calcium homeostasis regulation. It is implicated in the differentiation and apoptosis of keratinocytes, with overexpression leading to apoptosis. This protein's involvement in microtubule dynamics underscores its importance in cellular structure and function.

Therapeutic significance:

Understanding the role of Regulator of microtubule dynamics protein 3 could open doors to potential therapeutic strategies. Its pivotal role in cellular processes such as calcium homeostasis, differentiation, and apoptosis highlights its potential as a target for therapeutic intervention in diseases where these processes are dysregulated.

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