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NOVIČ, Marjana. Quantitative Structure Activity/Toxicity Relationship through Neural Networks for Drug Discovery or Regulatory Use. Current Topics in Medicinal Chemistry, 2023, Vol. XX, No. XX, In Press.
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MORA LAGARES, Liadys, NOVIČ, Marjana. Recent advances on P-glycoprotein (ABCB1) transporter modelling with in silico methods. International journal of molecular sciences. 2022, vol. 23, 1-17, ilustr. ISSN 1422-0067. https://www.mdpi.com/1422-0067/23/23/14804, DOI: 10.3390/ijms232314804
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MORA LAGARES, Liadys, PEREZ CASTILLO, Yunierkis, MINOVSKI, Nikola, NOVIČ, Marjana. Structure%function relationships in the human P-Glycoprotein (ABCB1) : insights from molecular dynamics simulations. International journal of molecular sciences, 2022, vol. 23, str. 1-24
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FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, VENKO, Katja, RASULEV, Bakhtiyor, SAÇAN TÜRKER, Melek, TUĞCU, Gülçin, SAĞ ERDEM, Safiye, TOROPOVA, A., TOROPOV, Andrey A. Cheminformatics and machine learning approaches to assess aquatic toxicity profiles of fullerene derivatives. International journal of molecular sciences. 2023, vol. 24, iss. 18, str. 1-20
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DRGAN, Viktor, VENKO, Katja, SLUGA, Janja, NOVIČ, Marjana. Merging counter-propagation and back-propagation algorithms : overcoming the limitations of counter-propagation neural network models. International journal of molecular sciences. 2024, vol. 25, iss. 8, str. 1-11
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