Focused On-demand Library for Limb region 1 protein homolog

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 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

Q8WVP7

UPID:

LMBR1_HUMAN

Alternative names:

Differentiation-related gene 14 protein

Alternative UPACC:

Q8WVP7; A4D242; Q8N3E3; Q96QZ5; Q9H5N0; Q9HAG9; Q9UDN5; Q9Y6U2

Background:

Limb region 1 protein homolog (LMBR1), also known as Differentiation-related gene 14 protein, plays a crucial role in limb development. This protein, encoded by the gene with accession number Q8WVP7, is implicated as a putative membrane receptor, indicating its potential involvement in signal transduction processes that are essential for the proper formation of limbs.

Therapeutic significance:

Mutations in LMBR1 are linked to a spectrum of limb malformations, including Preaxial polydactyly 2, Triphalangeal thumb with polysyndactyly, Acheiropody, Syndactyly 4, Hypoplasia or aplasia of tibia with polydactyly, and Laurin-Sandrow syndrome. These conditions highlight the protein's critical role in limb development pathways. Understanding the role of Limb region 1 protein homolog could open doors to potential therapeutic strategies for these congenital anomalies.