Ivanova, Mariya and Nicholls, Michael (2025) Is it time to treat AI as a creature? AI&Society. (Submitted)

Ivanova, Mariya, Russo, Nicola, Mihaylov, Gueorgui and Konstantin, Nikolic ORCID: https://orcid.org/0000-0002-6551-2977 (2025) Comparative analysis of computational approaches for predicting human neuronal Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists. Journal of Cellular Biochemistry. ISSN 0730-2312 (Submitted)

Ivanova, Mariya, Russo, Nicola, Mihaylov, Gueorgui and Konstantin, Nikolic ORCID: https://orcid.org/0000-0002-6551-2977 (2025) Leveraging Machine Learning and IUPAC names to identify TDP1 inhibitors. Computational and Structural Biotechnology. (Submitted)

Ivanova, Mariya, Russo, Nicola, Mihaylov, Gueorgui and Konstantin, Nikolic ORCID: https://orcid.org/0000-0002-6551-2977 (2025) Machine Learning - driven insights for predicting the impact of nanoparticles on the functionality of biomolecules, Illustrated by the case of DNA Damage-Inducible Transcript 3 (CHOP) inhibitors. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN 0162-8828 (Submitted)

Ivanova, Mariya, Russo, Nicola and Nikolic, Konstantin ORCID: https://orcid.org/0000-0002-6551-2977 (2025) Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn. Journal of Computer-Aided Molecular Design, 39 (1). ISSN 0920-654X