Marta Glavatskikh
Papers
1
Total Citations
11
H-Index
1
About
Marta Glavatskikh is a computational chemist whose research lies at the intersection of drug discovery, chemical biology, and artificial intelligence. Her work focuses on developing innovative computational tools to identify chemical probes for challenging, hard-to-drug protein targets—a critical bottleneck in translating biological discoveries into new therapies. Her most notable contribution is the creation of FRASE-bot (FRASE-based hit-finding robot), an in silico fragment-based discovery platform that integrates machine learning with structural biology to accelerate the identification of anti-tumor agents. In her 2024 paper introducing FRASE-bot, she demonstrated its power by discovering novel CIB1-directed compounds, showcasing how automated computational pipelines can replace labor-intensive screening. With 11 citations already, this work is gaining traction as a transformative approach in early-stage drug discovery. Glavatskikh’s research exemplifies how combining computational methods with biological insight can unlock new therapeutic avenues, making her a rising voice in the field of AI-driven drug design and chemical probe development.
Research Focus
Key Achievements
Top Papers
- 1