AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Signal recognition particle 14 kDa protein

Available from Reaxense
Predicted by Alphafold

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.

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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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 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

P37108

UPID:

SRP14_HUMAN

Alternative names:

18 kDa Alu RNA-binding protein

Alternative UPACC:

P37108; B5BUF5; Q6B0K5; Q96Q14

Background:

The Signal recognition particle 14 kDa protein (SRP14), also known as the 18 kDa Alu RNA-binding protein, plays a pivotal role in the cotranslational targeting of secretory and membrane proteins to the endoplasmic reticulum. It is a component of the signal recognition particle (SRP) complex, a ribonucleoprotein complex essential for protein synthesis and targeting. SRP14, in conjunction with SRP9 and the Alu portion of the SRP RNA, forms the elongation arrest domain of SRP, crucial for SRP RNA binding.

Therapeutic significance:

Understanding the role of Signal recognition particle 14 kDa protein could open doors to potential therapeutic strategies.

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