Explore the Potential with AI-Driven Innovation
Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.
We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.
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 high-tech, dedicated method is applied to construct targeted 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
Q5SXM8
UPID:
DNLZ_HUMAN
Alternative names:
Hsp70-escort protein 1; mtHsp70-escort protein
Alternative UPACC:
Q5SXM8; B2RUX5; B9EJE1
Background:
The DNL-type zinc finger protein, also known as Hsp70-escort protein 1 or mtHsp70-escort protein, plays a crucial role in cellular processes. It is believed to act as a co-chaperone for HSPA9/mortalin, a protein that tends to self-aggregate without proper support. This interaction highlights the protein's importance in maintaining cellular homeostasis and protein quality control.
Therapeutic significance:
Understanding the role of DNL-type zinc finger protein could open doors to potential therapeutic strategies. Its involvement in protein folding and stabilization processes makes it a candidate for targeting in diseases where protein misfolding is a key pathology.