AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Centrosome and spindle pole-associated protein 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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q1MSJ5

UPID:

CSPP1_HUMAN

Alternative names:

-

Alternative UPACC:

Q1MSJ5; A6ND63; Q70F00; Q8TBC1

Background:

Centrosome and spindle pole-associated protein 1, encoded by the gene with accession number Q1MSJ5, is implicated in cell-cycle-dependent microtubule organization. This protein plays a pivotal role in ensuring proper cell division and is integral to maintaining cellular integrity and function.

Therapeutic significance:

Joubert syndrome 21, a complex disorder characterized by cerebellar ataxia, oculomotor apraxia, and a range of other symptoms, is linked to mutations affecting this protein. Understanding the role of Centrosome and spindle pole-associated protein 1 could lead to novel therapeutic strategies for this syndrome, highlighting its potential as a target for drug discovery.

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