AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for ADP-ribosylation factor-like protein 8A

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner 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.

We employ our advanced, specialised process to create targeted 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 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

Q96BM9

UPID:

ARL8A_HUMAN

Alternative names:

ADP-ribosylation factor-like protein 10B; Novel small G protein indispensable for equal chromosome segregation 2

Alternative UPACC:

Q96BM9; B3KXD0

Background:

ADP-ribosylation factor-like protein 8A, also known as Novel small G protein indispensable for equal chromosome segregation 2, plays a crucial role in lysosome motility, presynaptic vesicle transport in neurons, and potentially in chromosome segregation. Its involvement in these critical cellular processes underscores its importance in maintaining cellular function and integrity.

Therapeutic significance:

Understanding the role of ADP-ribosylation factor-like protein 8A could open doors to potential therapeutic strategies. Its pivotal role in cellular processes makes it a promising target for drug discovery, aiming to address neurological disorders and diseases related to chromosome segregation abnormalities.

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