AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Meiosis inhibitor protein 1

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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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

Q5TIA1

UPID:

MEI1_HUMAN

Alternative names:

Meiosis defective protein 1

Alternative UPACC:

Q5TIA1; B7Z745; Q1XAP1; Q1XAP2; Q8IYJ5; Q8N5K5; Q8N9H3; Q8TC68

Background:

Meiosis inhibitor protein 1, alternatively known as Meiosis defective protein 1, plays a crucial role in the process of meiotic chromosome synapsis. It is implicated in the formation of meiotic double-strand breaks (DSBs) in spermatocytes, a fundamental step for successful meiosis and fertility.

Therapeutic significance:

The protein's mutation is linked to Hydatidiform mole, recurrent, 3, a disorder marked by abnormal pregnancies. Understanding the role of Meiosis inhibitor protein 1 could open doors to potential therapeutic strategies for managing and treating this condition.

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