AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Transcription termination factor 3, mitochondrial

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

Q96E29

UPID:

MTEF3_HUMAN

Alternative names:

Mitochondrial transcription termination factor 3; mTERF domain-containing protein 1, mitochondrial

Alternative UPACC:

Q96E29; B3KMG6; G3V130; Q9Y301

Background:

Transcription termination factor 3, mitochondrial, also known as mitochondrial transcription termination factor 3 or mTERF domain-containing protein 1, mitochondrial, plays a pivotal role in mitochondrial transcription and translation. It is essential for the normal assembly of mitochondrial respiratory complexes and overall mitochondrial function. This protein ensures the maintenance of 16S rRNA levels and is crucial in mitochondrial ribosome assembly, specifically in the biogenesis of the 39S ribosomal subunit.

Therapeutic significance:

Understanding the role of Transcription termination factor 3, mitochondrial could open doors to potential therapeutic strategies.

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