Chair of molecular technology

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.

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

News

Week of PARC in Tartu

The week of June 9, 2025 can be considered a PARC (Partnership for the Assessment of Risks from Chemicals) week in Tartu. Namely, two high-caliber PARC events took place during the week.

The first of these was the PARC Modelers' Meeting, which took place from June 9-11, 2025. The PARC Modelers...

Lisette's Bachelor's Thesis Defence

We are happy to share that Lisette Pihor, a bachelor's student in our research group, has successfully defended her bachelor's thesis titled "Feature Selection for Evaluating Acute Toxicity with Neural Networks" on 12 June 2025 at the Institute of Computer Science at the University of Tartu. Lisette...

Yehudit Morozovsky defended her bachelor's thesis

On June 2, 2025, Yehudit Morozovsky defended her bachelor’s thesis. The thesis focused on the development of new potential AlkBH5 inhibitor using different computational methods. AlkBH5 is a mammalian demethylase responsible for removal of m6A (N6-methyladenosine) modification in RNA. The multiple r...

Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data

Earthworms play an important role in maintaining soil fertility and in the formation and maintenance of water and aeration systems. This makes the earthworm a key indicator organism in soil ecosystems. This in turn makes the reproductive toxicity of chemical compounds (e.g. pesticides) to earthworms...

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GET IN TOUCH

If you are interested in obtaining a bachelor's, master's or doctoral degree, please contact the academic and research staff of the chair. In the case of interest in consultation, training and cooperation within the above research directions, please contact:

Professor Uko Maran

Professor emeritus Mati Karelson

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Chair of Molecular Technology

Institute of Chemistry

University of Tartu

Ravila 14a,

Tartu, 50411
+372 737 5254
uko.maran@ut.ee

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