About

Molecular technology is an interdisciplinary and transdisciplinary scientific field based on fundamental sciences. Molecular technology is based on chemistry combining physics, biology, medicine, information technology etc. and it is applied in many high-tech fields.

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People

The staff of the chair has a good balance between youthful enthusiasm and experience in scientific life.

MT-Qtool

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Qsardb

QsarDB is a digital and smart repository for QSAR models and data. QSAR models, or quantitative structure-activity relationships, are created using machine learning (ML) and artificial intelligence (AI) methods. QsarDB applies FAIR (Findable, Accessible, Interoperable, Re-usable) principles to ensure free access and long-term data preservation. QsarDB covers various application and research areas of the QSAR community in chemical science, medical and health sciences, biological science, environmental science, agricultural and veterinary science, and material science.

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Projects

The researchers of the chair have a long-term experience of participating in international cooperation projects and networks:

  • European Union framework programs
  • European Union cooperation networks
  • Industrial agreements

We are also active in applying for domestic financial instruments:

  • Estonian Research Agency
  • Other national knowledge-intensive research programs
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News

Chili magic at the Institute of Chemistry Christmas Market

On December 11, 2025, a small yet inspiring Christmas market was held in the lobby of the Institute of Chemistry at the University of Tartu. Employees contributed to the diversity of the offer with their creative ideas and handicrafts. Everyone could choose something for themselves. The charm of the...

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Karl Marti Toots defended doctoral thesis, that helps to better understand and evaluate the behavior of organic solutes in ionic liquids

The doctoral thesis defended at the Department of Chemistry of the University of Tartu studied the distribution of organic solutes in a gas-ionic liquid environment using cheminformatics and machine learning methods. For the first time, using computational models, it was shown that the gas-ionic liq...

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Dr. Igor Tetko is visiting the chair

On Thursday, September 4, 2025, Dr. habil. Igor Tetko will give a lecture at the University of Tartu Institute of Chemistry titled “Tox24 Challenge: An In-Depth Analysis of Modern Artificial Intelligence Methods for Accurate Prediction of Transthyretin Binding.”

Dr. Tetko is one of Europe’s leadin...

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A multicomponent QSPR approach to describe and predict the distribution of organic solutes in gas-ionic liquid environments using machine learning

Ionic liquids are used as green solvents, which make accurate predictions of gas–ionic liquid partition coefficients (log K) of organic solutes important from the perspective of various industrial applications. An ionic liquid with an interacting organic solute is a multicomponent system that is usu...

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