AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for COP9 signalosome complex subunit 6

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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal 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

Q7L5N1

UPID:

CSN6_HUMAN

Alternative names:

JAB1-containing signalosome subunit 6; MOV34 homolog; Vpr-interacting protein

Alternative UPACC:

Q7L5N1; A4D2A3; O15387

Background:

COP9 signalosome complex subunit 6 (CSN6), also known as JAB1-containing signalosome subunit 6, MOV34 homolog, and Vpr-interacting protein, plays a pivotal role in cellular and developmental processes. It is a crucial component of the COP9 signalosome complex (CSN), regulating the ubiquitin conjugation pathway by deneddylation of cullin subunits of SCF-type E3 ligase complexes. This action decreases the ubiquitin ligase activity of complexes like SCF, CSA, or DDB2. CSN6 is involved in the phosphorylation of key proteins such as p53/TP53, c-jun/JUN, and others, potentially through its association with CK2 and PKD kinases. It also exhibits glucocorticoid receptor-responsive activity and stabilizes COP1, influencing the ubiquitination of COP1 targets.

Therapeutic significance:

Understanding the role of COP9 signalosome complex subunit 6 could open doors to potential therapeutic strategies.

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