AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Conserved oligomeric Golgi complex subunit 4

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed 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.

Our top-notch dedicated system is used to design specialised 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 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

Q9H9E3

UPID:

COG4_HUMAN

Alternative names:

Component of oligomeric Golgi complex 4

Alternative UPACC:

Q9H9E3; B4DMN8; C9JS23; Q96D40; Q9BRF0; Q9BVZ2; Q9H5Y4; Q9Y3W3

Background:

Conserved oligomeric Golgi complex subunit 4, also known as Component of oligomeric Golgi complex 4, is pivotal for normal Golgi function. It facilitates SNARE-pin assembly and Golgi-to-ER retrograde transport through its interaction with SCFD1. This protein's role underscores the intricate mechanisms ensuring cellular cargo transport and processing.

Therapeutic significance:

The protein is linked to Congenital disorder of glycosylation 2J and Saul-Wilson syndrome, diseases stemming from gene variants affecting this protein. Understanding its function could pave the way for innovative treatments targeting these genetic disorders, highlighting its therapeutic potential.

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