AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for SLIT and NTRK-like protein 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

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

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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

Q96PX8

UPID:

SLIK1_HUMAN

Alternative names:

Leucine-rich repeat-containing protein 12

Alternative UPACC:

Q96PX8; Q5U5I6; Q96SF9

Background:

SLIT and NTRK-like protein 1, also known as Leucine-rich repeat-containing protein 12, plays a crucial role in the nervous system's development. It is instrumental in synaptogenesis, promoting excitatory synapse differentiation, and enhancing neuronal dendrite outgrowth. This protein's involvement in these processes is supported by multiple studies, highlighting its significance in neural network formation and maintenance.

Therapeutic significance:

Given its pivotal role in neural development, SLIT and NTRK-like protein 1 is linked to Trichotillomania, a neuropsychiatric disorder characterized by compulsive hair pulling. Understanding the role of SLIT and NTRK-like protein 1 could open doors to potential therapeutic strategies for this and related neuropsychiatric conditions.

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