AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for General transcription factor IIH subunit 5

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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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.

We employ our advanced, specialised process to create targeted 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.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q6ZYL4

UPID:

TF2H5_HUMAN

Alternative names:

General transcription factor IIH polypeptide 5; TFB5 ortholog; TFIIH basal transcription factor complex TTD-A subunit; TFIIH subunit p8

Alternative UPACC:

Q6ZYL4; Q0P5V8

Background:

General transcription factor IIH subunit 5, also known as TFB5 ortholog or TFIIH subunit p8, plays a pivotal role in DNA repair and transcription. It is a component of the TFIIH core complex, essential for nucleotide excision repair (NER) and RNA transcription by RNA polymerase II. This protein is crucial for the stability of the TFIIH complex and maintaining normal TFIIH levels in cells.

Therapeutic significance:

The protein's involvement in Trichothiodystrophy 3, a disease characterized by brittle hair and multisystem abnormalities, highlights its potential as a target for therapeutic intervention. Understanding the role of General transcription factor IIH subunit 5 could open doors to potential therapeutic strategies.

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