AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for DNA mismatch repair protein Mlh1

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 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 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.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

P40692

UPID:

MLH1_HUMAN

Alternative names:

MutL protein homolog 1

Alternative UPACC:

P40692; B4DI13; B4DQ11; E9PCU2

Background:

DNA mismatch repair protein Mlh1, also known as MutL protein homolog 1, plays a pivotal role in the post-replicative DNA mismatch repair system (MMR). It forms a heterodimer with PMS2 to create MutL alpha, essential for correcting DNA mismatches and maintaining genomic stability. This protein is also involved in DNA damage signaling, crucial for cell cycle arrest and apoptosis in response to significant DNA damages.

Therapeutic significance:

Mutations in Mlh1 are linked to several hereditary cancers, including Lynch syndrome, Mismatch repair cancer syndrome, Muir-Torre syndrome, and colorectal and endometrial cancers. Understanding the role of DNA mismatch repair protein Mlh1 could open doors to potential therapeutic strategies, offering hope for targeted treatments in these genetically predisposed conditions.

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