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Article

Prediction of Protein Targets in Ovarian Cancer Using a Ru-Complex and Carbon Dot Drug Delivery Therapeutic Nanosystems: A Bioinformatics and µ-FTIR Spectroscopy Approach

by
Maja D. Nešić
1,*,
Tanja Dučić
2,*,
Branislava Gemović
3,
Milan Senćanski
3,
Manuel Algarra
4,
Mara Gonçalves
5,
Milutin Stepić
1,
Iva A. Popović
1,
Đorđe Kapuran
1 and
Marijana Petković
1
1
Center for Light-Based Research and Technologies COHERENCE, Department of Atomic Physics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia
2
ALBA-CELLS Synchrotron, 08290 Cerdanyola del Vallès, Spain
3
Laboratory for Bioinformatics and Computational Chemistry, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia
4
INAMAT2—Institute for Advanced Materials and Mathematics, Department of Science, Public University of Navarre, Campus de Arrosadia, 31006 Pamplona, Spain
5
CQM—Centro de Química da Madeira, Universidade da Madeira, 9020-105 Funchal, Portugal
*
Authors to whom correspondence should be addressed.
Pharmaceutics 2024, 16(8), 997; https://doi.org/10.3390/pharmaceutics16080997 (registering DOI)
Submission received: 10 June 2024 / Revised: 18 July 2024 / Accepted: 25 July 2024 / Published: 27 July 2024
(This article belongs to the Special Issue Advanced Materials Science and Technology in Drug Delivery)

Abstract

We predicted the protein therapeutic targets specific to a Ru-based potential drug and its combination with pristine and N-doped carbon dot drug delivery systems, denoted as RuCN/CDs and RuCN/N-CDs. Synchrotron-based FTIR microspectroscopy (µFTIR) in addition to bioinformatics data on drug structures and protein sequences were applied to assess changes in the protein secondary structure of A2780 cancer cells. µFTIR revealed the moieties of the target proteins’ secondary structure changes only after the treatment with RuCN and RuCN/N-CDs. A higher content of α-helices and a lower content of β-sheets appeared in A2780 cells after RuCN treatment. Treatment with RuCN/N-CDs caused a substantial increase in parallel β-sheet numbers, random coil content, and tyrosine residue numbers. The results obtained suggest that the mitochondrion-related proteins NDUFA1 and NDUFB5 are affected by RuCN either via overexpression or stabilisation of helical structures. RuCN/N-CDs either induce overexpression of the β-sheet-rich protein NDUFS1 and affect its random coil structure or interact and stabilise its structure via hydrogen bonding between -NH2 groups from N-CDs with protein C=O groups and –OH groups of serine, threonine, and tyrosine residues. The N-CD nanocarrier tunes this drug’s action by directing it toward a specific protein target, changing this drug’s coordination ability and inducing changes in the protein’s secondary structures and function.
Keywords: nano-based anticancer drug delivery systems; protein targets; carbon dots; bioinformatics; µFTIR nano-based anticancer drug delivery systems; protein targets; carbon dots; bioinformatics; µFTIR

Share and Cite

MDPI and ACS Style

Nešić, M.D.; Dučić, T.; Gemović, B.; Senćanski, M.; Algarra, M.; Gonçalves, M.; Stepić, M.; Popović, I.A.; Kapuran, Đ.; Petković, M. Prediction of Protein Targets in Ovarian Cancer Using a Ru-Complex and Carbon Dot Drug Delivery Therapeutic Nanosystems: A Bioinformatics and µ-FTIR Spectroscopy Approach. Pharmaceutics 2024, 16, 997. https://doi.org/10.3390/pharmaceutics16080997

AMA Style

Nešić MD, Dučić T, Gemović B, Senćanski M, Algarra M, Gonçalves M, Stepić M, Popović IA, Kapuran Đ, Petković M. Prediction of Protein Targets in Ovarian Cancer Using a Ru-Complex and Carbon Dot Drug Delivery Therapeutic Nanosystems: A Bioinformatics and µ-FTIR Spectroscopy Approach. Pharmaceutics. 2024; 16(8):997. https://doi.org/10.3390/pharmaceutics16080997

Chicago/Turabian Style

Nešić, Maja D., Tanja Dučić, Branislava Gemović, Milan Senćanski, Manuel Algarra, Mara Gonçalves, Milutin Stepić, Iva A. Popović, Đorđe Kapuran, and Marijana Petković. 2024. "Prediction of Protein Targets in Ovarian Cancer Using a Ru-Complex and Carbon Dot Drug Delivery Therapeutic Nanosystems: A Bioinformatics and µ-FTIR Spectroscopy Approach" Pharmaceutics 16, no. 8: 997. https://doi.org/10.3390/pharmaceutics16080997

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