Focused On-demand Library for Schlafen family member 11

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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.

Our high-tech, dedicated method is applied to construct targeted libraries for enzymes.

Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

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

Q7Z7L1

UPID:

SLN11_HUMAN

Alternative names:

Alternative UPACC:

Q7Z7L1; E1P643; Q8N3S8; Q8N762; Q8TEE0

Background:

Schlafen family member 11 (SLFN11) is a pivotal protein that inhibits DNA replication, promoting cell death in response to DNA damage. It serves as a guardian of the genome, ensuring cellular integrity by eliminating cells with defective replication mechanisms. SLFN11 blocks stressed replication forks, leading to cell death. Additionally, it functions as an antiviral protein against retroviruses like HIV-1 by inhibiting viral protein synthesis through a unique mechanism involving tRNA binding.

Therapeutic significance:

Understanding the role of Schlafen family member 11 could open doors to potential therapeutic strategies. Its unique mechanism of action in both DNA damage response and antiviral defense positions SLFN11 as a promising target for developing treatments against cancer and viral infections.