Autori: Rahnasto-Rilla Minna
Naslov | SIRT2i_Predictor: A Machine Learning-Based Tool to Facilitate the Discovery of Novel SIRT2 Inhibitors (Article) |
Autori | Djokovic Nemanja Rahnasto-Rilla Minna Lougiakis Nikolaos Lahtela-Kakkonen Maija Nikolic Katarina M |
Info | PHARMACEUTICALS, (2023), vol. 16 br. 1, str. - |
Projekat | Ministry of Education, Science and Technological Development, Republic of Serbia; University of Belgrade-Faculty of Pharmacy [451-03-68/2022-14/200161] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Expanding the Accessible Chemical Space of SIRT2 Inhibitors through Exploration of Binding Pocket Dynamics (Article) |
Autori | Djokovic Nemanja Ruzic Dusan Rahnasto-Rilla Minna Srdic-Rajic Tatjana V Lahtela-Kakkonen Maija Nikolic Katarina M |
Info | JOURNAL OF CHEMICAL INFORMATION AND MODELING, (2022), vol. 62 br. 10, str. 2571-2585 |
Projekat | Ministry of Education, Science, and Technological Development of the Republic of Serbia [451-03-68/2022-14/200161, ON171017]; COST-Action "Epigenetic Chemical Biology (EpiChemBio)" [CM1406] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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