AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Trafficking protein particle complex subunit 10

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.

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.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide 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

P48553

UPID:

TPC10_HUMAN

Alternative names:

Epilepsy holoprosencephaly candidate 1 protein; Protein GT334; Trafficking protein particle complex subunit TMEM1; Transport protein particle subunit TMEM1

Alternative UPACC:

P48553; Q3MIR2; Q86SI7; Q9UMD4; Q9Y4L3

Background:

Trafficking protein particle complex subunit 10, also known as Epilepsy holoprosencephaly candidate 1 protein, Protein GT334, Trafficking protein particle complex subunit TMEM1, and Transport protein particle subunit TMEM1, plays a pivotal role in the TRAPP II complex. This complex is essential for late Golgi trafficking, acting as a membrane tether in cellular processes.

Therapeutic significance:

The protein is linked to a neurodevelopmental disorder characterized by microcephaly, short stature, and speech delay, suggesting its critical role in brain development. Understanding the role of Trafficking protein particle complex subunit 10 could open doors to potential therapeutic strategies for treating such neurodevelopmental disorders.

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