Explore the Potential with AI-Driven Innovation
The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher activity, selectivity, and safety.
Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.
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.
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 is unique due to several crucial aspects:
partner
Reaxense
upacc
Q5SY68
UPID:
S1A7B_HUMAN
Alternative names:
S100 calcium-binding protein A7-like 2
Alternative UPACC:
Q5SY68
Background:
Protein S100-A7-like 2, also known as S100 calcium-binding protein A7-like 2, plays a crucial role in calcium signaling by binding to calcium ions. This interaction is pivotal for various cellular processes, including growth, differentiation, and apoptosis. The protein's structure, characterized by two EF-hand motifs, facilitates its calcium-binding capability, making it an essential player in intracellular signaling pathways.
Therapeutic significance:
Understanding the role of Protein S100-A7-like 2 could open doors to potential therapeutic strategies. Its involvement in calcium signaling pathways suggests a broad impact on cellular functions, which, if modulated, could offer new avenues for treating diseases where calcium signaling is disrupted.