Focused On-demand Library for Mitochondrial import inner membrane translocase subunit Tim10

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

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 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 distinguishes itself through several key aspects:

The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P62072

UPID:

TIM10_HUMAN

Alternative names:

Alternative UPACC:

P62072; A8K136; Q9WV99; Q9WVA0; Q9Y5J8

Background:

The Mitochondrial import inner membrane translocase subunit Tim10 plays a crucial role in cellular energy production. It assists in the import and insertion of multi-pass transmembrane proteins into the mitochondrial inner membrane, facilitating the correct assembly of mitochondrial proteins. This process is vital for mitochondrial function and, by extension, cellular respiration and energy production.

Therapeutic significance:

Understanding the role of Mitochondrial import inner membrane translocase subunit Tim10 could open doors to potential therapeutic strategies. Its involvement in mitochondrial protein assembly makes it a key player in maintaining cellular health and energy balance, offering a promising target for interventions in diseases linked to mitochondrial dysfunction.