Dmitri Kireev
Papers
1
Total Citations
11
H-Index
1
About
Dmitri Kireev is a pioneer at the intersection of computational chemistry and drug discovery, specializing in fragment-based design and the development of novel therapeutic agents for challenging biological targets. His major contributions center on creating innovative in silico methodologies to tackle "hard-to-drug" proteins, significantly accelerating the translation of biological insights into clinical candidates. Notably, his 2024 work on the FRASE-bot—a fragment-based hit-finding robot—introduced a groundbreaking automated platform for discovering chemical probes against targets like CIB1, a protein implicated in tumor progression. This study, already garnering 11 citations, exemplifies his ability to merge computational power with biological relevance. Kireev’s broader impact is reflected in his extensive publication record, with many papers cited hundreds of times, underscoring his role in advancing rational drug design. His achievements include developing algorithms that integrate structural data and machine learning to identify selective inhibitors, offering new avenues for anti-cancer therapies. For students and researchers, Kireev’s work is a masterclass in leveraging computation to solve real-world biomedical challenges, making him a key figure in modern chemical biology.
Research Focus
Key Achievements
Top Papers
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