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 RecQ-like DNA helicase BLM 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 RecQ-like DNA helicase BLM 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 RecQ-like DNA helicase BLM, 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 RecQ-like DNA helicase BLM. 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 RecQ-like DNA helicase BLM. 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 RecQ-like DNA helicase BLM 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.
RecQ-like DNA helicase BLM
partner:
Reaxense
upacc:
P54132
UPID:
BLM_HUMAN
Alternative names:
Bloom syndrome protein; DNA helicase, RecQ-like type 2; RecQ protein-like 3
Alternative UPACC:
P54132; Q52M96
Background:
RecQ-like DNA helicase BLM, also known as Bloom syndrome protein, plays a crucial role in DNA replication and repair by unwinding DNA in a 3'-5' direction. It is involved in key processes such as double-strand break repair, negatively regulating sister chromatid exchange, and stimulating DNA Holliday junction dissolution. This protein's ability to bind to various DNA structures underscores its importance in maintaining genomic stability.
Therapeutic significance:
Given its pivotal role in DNA repair mechanisms and its association with Bloom syndrome, a disorder marked by chromosomal instability and cancer predisposition, targeting RecQ-like DNA helicase BLM could offer novel therapeutic avenues. Understanding the role of this protein could open doors to potential therapeutic strategies, especially in the context of genetic disorders and cancer.
