AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Calcium/calmodulin-dependent protein kinase type 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

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 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.

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 employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q14012

UPID:

KCC1A_HUMAN

Alternative names:

CaM kinase I; CaM kinase I alpha

Alternative UPACC:

Q14012; Q3KPF6

Background:

Calcium/calmodulin-dependent protein kinase type 1 (CaM kinase I), also known as CaM kinase I alpha, plays a pivotal role in the calcium-triggered CaMKK-CaMK1 signaling cascade. It regulates various cellular processes, including transcription activator activity, cell cycle progression, hormone production, and cell differentiation. This kinase is crucial for neurite outgrowth, axonal extension, and the formation of spines and synapses in hippocampal neurons, facilitating long-term potentiation and neuronal differentiation.

Therapeutic significance:

Understanding the role of Calcium/calmodulin-dependent protein kinase type 1 could open doors to potential therapeutic strategies.

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