AI-ACCELERATED DRUG DISCOVERY
Available from Reaxense
This protein is integrated into the Receptor.AI ecosystem as a prospective target with high therapeutic potential. We performed a comprehensive characterization of Kelch-like protein 41 including:
1. LLM-powered literature research
Our custom-tailored LLM extracted and formalized all relevant information about the protein from a large set of structured and unstructured data sources and stored it in the form of a Knowledge Graph. This comprehensive analysis allowed us to gain insight into Kelch-like protein 41 therapeutic significance, existing small molecule ligands, relevant off-targets, and protein-protein interactions.
Fig. 1. Preliminary target research workflow
2. AI-Driven Conformational Ensemble Generation
Starting from the initial protein structure, we employed advanced AI algorithms to predict alternative functional states of Kelch-like protein 41, including large-scale conformational changes along "soft" collective coordinates. Through molecular simulations with AI-enhanced sampling and trajectory clustering, we explored the broad conformational space of the protein and identified its representative structures. Utilizing diffusion-based AI models and active learning AutoML, we generated a statistically robust ensemble of equilibrium protein conformations that capture the receptor's full dynamic behavior, providing a robust foundation for accurate structure-based drug design.
Fig. 2. AI-powered molecular dynamics simulations workflow
3. Binding pockets identification and characterization
We employed the AI-based pocket prediction module to discover orthosteric, allosteric, hidden, and cryptic binding pockets on the protein’s surface. Our technique integrates the LLM-driven literature search and structure-aware ensemble-based pocket detection algorithm that utilizes previously established protein dynamics. Tentative pockets are then subject to AI scoring and ranking with simultaneous detection of false positives. In the final step, the AI model assesses the druggability of each pocket enabling a comprehensive selection of the most promising pockets for further targeting.
Fig. 3. AI-based binding pocket detection workflow
4. AI-Powered Virtual Screening
Our ecosystem is equipped to perform AI-driven virtual screening on Kelch-like protein 41. With access to a vast chemical space and cutting-edge AI docking algorithms, we can rapidly and reliably predict the most promising, novel, diverse, potent, and safe small molecule ligands of Kelch-like protein 41. This approach allows us to achieve an excellent hit rate and to identify compounds ready for advanced lead discovery and optimization.
Fig. 4. The screening workflow of Receptor.AI
Receptor.AI, in partnership with Reaxense, developed a next-generation technology for on-demand focused library design to enable extensive target exploration.
The focused library for Kelch-like protein 41 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.
Kelch-like protein 41
partner:
Reaxense
upacc:
O60662
UPID:
KLH41_HUMAN
Alternative names:
Kel-like protein 23; Kelch repeat and BTB domain-containing protein 10; Kelch-related protein 1; Sarcosin
Alternative UPACC:
O60662; Q53R42
Background:
Kelch-like protein 41, also known as Kel-like protein 23, Kelch repeat and BTB domain-containing protein 10, Kelch-related protein 1, and Sarcosin, plays a pivotal role in skeletal muscle development and differentiation. It is instrumental in the regulation of myoblast proliferation and differentiation, contributing to myofibril assembly by promoting the lateral fusion of thin fibrils into mature, wide myofibrils. This protein is essential for pseudopod elongation in transformed cells.
Therapeutic significance:
Kelch-like protein 41 is linked to Nemaline myopathy 9, a muscular disorder characterized by muscle weakness and abnormal structures in muscle fibers. Understanding the role of Kelch-like protein 41 could open doors to potential therapeutic strategies for treating this condition, highlighting its importance in muscle pathology and offering a promising avenue for drug discovery.
