AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Ribonucleoprotein PTB-binding 1

Available from Reaxense
Predicted by Alphafold

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.

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 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 methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive 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

Q8IY67

UPID:

RAVR1_HUMAN

Alternative names:

Protein raver-1

Alternative UPACC:

Q8IY67; A6NMU4; Q8IY60; Q8TF24

Background:

Ribonucleoprotein PTB-binding 1, also known as Protein raver-1, plays a crucial role in the regulation of alternative splicing events. It works in tandem with PTBP1 to influence exon skipping and the selection between mutually exclusive exons, particularly during the maturation of the TPM1 pre-mRNA. This protein's ability to modulate splicing events underscores its importance in RNA processing.

Therapeutic significance:

Understanding the role of Ribonucleoprotein PTB-binding 1 could open doors to potential therapeutic strategies. Its involvement in the precise regulation of alternative splicing presents opportunities for the development of novel interventions in diseases where splicing errors are a contributing factor.

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