Focused On-demand Library for LINE-1 retrotransposable element ORF1 protein

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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.

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

Q9UN81

UPID:

LORF1_HUMAN

Alternative names:

LINE retrotransposable element 1; LINE1 retrotransposable element 1

Alternative UPACC:

Q9UN81; Q15605

Background:

The LINE-1 retrotransposable element ORF1 protein, also known as LINE retrotransposable element 1, plays a pivotal role in the genome's dynamics. It is a nucleic acid-binding protein, essential for the retrotransposition of LINE-1 elements, which are crucial for genome variability and evolution. Its ability to function as a nucleic acid chaperone, binding its own transcript, facilitates the preferential mobilization of the transcript from which it is encoded.

Therapeutic significance:

Understanding the role of LINE-1 retrotransposable element ORF1 protein could open doors to potential therapeutic strategies. Its fundamental role in genome variability and evolution positions it as a key target for genetic and epigenetic therapeutic interventions.