Focused On-demand Library for Guided entry of tail-anchored proteins factor CAMLG

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 includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse 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

P49069

UPID:

CAMLG_HUMAN

Alternative names:

Calcium signal-modulating cyclophilin ligand

Alternative UPACC:

P49069; A1L3Y3

Background:

The Guided entry of tail-anchored proteins factor CAMLG, also known as Calcium signal-modulating cyclophilin ligand, plays a pivotal role in protein biosynthesis and cellular signaling. It is essential for the delivery of tail-anchored proteins to the endoplasmic reticulum, a process critical for maintaining cellular function and integrity. Additionally, CAMLG is involved in calcium signaling in T cells and is crucial for the survival of peripheral follicular B cells.

Therapeutic significance:

CAMLG's involvement in Congenital disorder of glycosylation 2Z, characterized by severe neurological symptoms and glycosylation defects, highlights its potential as a target for therapeutic intervention. Understanding the role of CAMLG could open doors to potential therapeutic strategies.