Focused On-demand Library for RNA-binding region-containing protein 3

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

Our top-notch dedicated system is used to design specialised libraries.

Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide 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

Q96LT9

UPID:

RNPC3_HUMAN

Alternative names:

RNA-binding motif protein 40; U11/U12 small nuclear ribonucleoprotein 65 kDa protein

Alternative UPACC:

Q96LT9; A8K1C9; D3DT74; Q5TZ87; Q96FK7; Q96JI8; Q9NSU7; Q9NXX2

Background:

RNA-binding region-containing protein 3, also known as RNA-binding motif protein 40 and U11/U12 small nuclear ribonucleoprotein 65 kDa protein, plays a crucial role in pre-mRNA U12-dependent splicing. This process, carried out by the minor spliceosome, is essential for removing U12-type introns, which, although comprising less than 1% of all non-coding sequences, are vital for the correct expression of certain genes. The protein's ability to bind to the 3'-stem-loop of m(7)G-capped U12 snRNA underscores its significance in RNA processing.

Therapeutic significance:

RNA-binding region-containing protein 3 is implicated in Pituitary hormone deficiency, combined or isolated, 7, a condition characterized by severe postnatal growth failure and hypoplasia of the anterior pituitary. This association highlights the protein's potential as a target for therapeutic intervention in growth hormone deficiencies.