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.
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.
Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.
We utilise our cutting-edge, exclusive workflow to develop focused libraries.
Fig. 1. The sreening workflow of Receptor.AI
By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of biological functions.
Key features that set our library apart include:
partner
Reaxense
upacc
Q86W50
UPID:
MET16_HUMAN
Alternative names:
Methyltransferase 10 domain-containing protein; Methyltransferase-like protein 16; N6-adenosine-methyltransferase METTL16; U6 small nuclear RNA (adenine-(43)-N(6))-methyltransferase
Alternative UPACC:
Q86W50; D3DTI8; Q86TE5; Q96T16; Q9BVG7
Background:
RNA N6-adenosine-methyltransferase METTL16 is a pivotal enzyme in RNA processing, specifically targeting adenosine residues for methylation. This protein plays a crucial role in S-adenosyl-L-methionine homeostasis, influencing the expression of MAT2A transcripts. METTL16's unique ability to methylate a select subset of mRNAs and U6 snRNAs, contingent upon specific sequence and structural prerequisites, underscores its specificity and importance in RNA metabolism.
Therapeutic significance:
Understanding the role of RNA N6-adenosine-methyltransferase METTL16 could open doors to potential therapeutic strategies.