AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Host cell factor 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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.

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 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.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

P51610

UPID:

HCFC1_HUMAN

Alternative names:

C1 factor; CFF; VCAF; VP16 accessory protein

Alternative UPACC:

P51610; Q6P4G5

Background:

Host cell factor 1 (HCFC1), also known as C1 factor or VCAF, plays a pivotal role in cell cycle control, transcriptional regulation, and chromatin modification. It acts as a transcriptional coregulator, influencing the expression of genes critical for cell proliferation and development. HCFC1's interaction with various proteins, including EGR2, GABP2, and the Set1/Ash2 and Sin3 complexes, underscores its versatile role in gene expression. Additionally, it is involved in the cellular response to human herpes simplex virus infection by forming a complex that activates viral gene transcription.

Therapeutic significance:

HCFC1's involvement in methylmalonic aciduria and homocystinuria, cblX type, a metabolic disorder with severe neurological manifestations, highlights its potential as a therapeutic target. Understanding the role of HCFC1 could open doors to potential therapeutic strategies.

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