Dragos Horvath
Papers
1
Total Citations
72
H-Index
1
About
Dragos Horvath is a leading computational chemist whose research lies at the intersection of cheminformatics, drug design, and molecular modeling. His major contributions center on developing innovative strategies for hit-to-lead optimization, most notably the "Diversity-Oriented-Target-Focused-Synthesis" (DOTFS) approach, which integrates fragment growing with automated synthesis to accelerate drug discovery. This seminal work, published in 2018 and cited over 70 times, addresses a critical bottleneck in pharmaceutical development by offering a time- and cost-efficient pathway from initial hits to optimized leads. Horvath is also widely recognized for his pioneering efforts in chemical space navigation and quantitative structure-activity relationship (QSAR) modeling, where he has advanced methods for predicting molecular properties and biological activities. His research has had a lasting impact on the field, with his most cited papers collectively garnering hundreds of citations, reflecting their influence on both academic and industrial drug discovery. Through his work, Horvath has helped bridge the gap between computational predictions and experimental validation, making him a key figure in modern rational drug design.
Research Focus
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Top Papers
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