AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for BAI1-associated protein 3

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

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.

We use our state-of-the-art dedicated workflow for designing focused 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

O94812

UPID:

BAIP3_HUMAN

Alternative names:

Brain-specific angiogenesis inhibitor I-associated protein 3

Alternative UPACC:

O94812; A2A2B2; B2RCD7; B4DGS5; B4DIK3; B4DRK9; B4DRP1; E7EUB9; H3BUH8; H3BVI3; H7C2Q1; O94839; Q2M226; Q658J2; Q76N05; Q96RZ3; Q9UJK1

Background:

BAI1-associated protein 3, also known as Brain-specific angiogenesis inhibitor I-associated protein 3, plays a crucial role in endosome to Golgi retrograde transport. It mediates endosome fusion with the trans-Golgi network in response to calcium influx, indirectly influencing dense-core secretory vesicle biogenesis and neurotransmitter and hormone secretion, including NPY, serotonin, and insulin.

Therapeutic significance:

Understanding the role of BAI1-associated protein 3 could open doors to potential therapeutic strategies by modulating neurotransmitter and hormone secretion, which may impact conditions related to neurotransmission and metabolic processes.

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