Journals / Journal of Advanced Research in Natural and Applied Sciences / 2023 / Cilt: 9 Sayı: 3

Bridging Molecular Docking to Molecular Dynamics to Enlighten Recognition Processes of Tailored D-A/D-A-D Types' AIEgens with HSA/BSA

Pages
670–687
Publication Date
2023-09-20
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, the root-mean-square fluctuations (RMSF) analyses (on average) revealed that D1A1D1:BSA (0.152 nm) was slightly more flexible than D1A1:HSA (0.160 nm).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Fluorescence imaging-assisted photodynamic therapy (PDT) allows accurate tumor visualization and potentially prevents long-term side effects of cancer.
📊
Key Findings & Data:Our results revealed that the binding scores of the Dn-An or Dn-An-Dn:BSA complexes ranged from -8.5 to -11.7 kcal/mol while Dn-An or Dn-An-Dn:HSA complexes showed scores varying from -8.4 to -10.5 kcal/mol.
💡
Conclusion & Impact:In addition, the root-mean-square fluctuations (RMSF) analyses (on average) revealed that D1A1D1:BSA (0.152 nm) was slightly more flexible than D1A1:HSA (0.160 nm).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:BSA · HSA · luminogens

Abstract

Fluorescence imaging-assisted photodynamic therapy (PDT) allows accurate tumor visualization and potentially prevents long-term side effects of cancer. Therefore, the development of photosensitizers emitting light, particularly in the near-infrared region (NIR), is essential for enhancing the efficacy of cancer therapy. On this premise, the formation of a stabilized complex between an organic dye and a target macromolecule improves fluorescence efficiency. In this scope, we performed a detailed molecular dock-ing study of Donor (D)-Acceptor (A) or D-A-D type luminogens with two blood proteins; namely bovine serum albumin (BSA) and human serum albumin (HSA), which appeared as robust carriers of several pharmaceuticals against preliminary cancer diseases. Our results revealed that the binding scores of the Dn-An or Dn-An-Dn:BSA complexes ranged from -8.5 to -11.7 kcal/mol while Dn-An or Dn-An-Dn:HSA complexes showed scores varying from -8.4 to -10.5 kcal/mol. Subsequently, molecular dynamics simu-lations were also performed for the best-docked ligands: macromolecule complexes; namely D1A1D1:BSA and D1A1:HSA, to enlighten various structural parameters. Based on the predicted root-mean-square deviation (RMSD) values (on average), the D1A1D1:BSA complex was found to be 0.319 nm, while the D1A1:HSA complex was determined as 0.284 nm. In addition, the root-mean-square fluctuations (RMSF) analyses (on average) revealed that D1A1D1:BSA (0.152 nm) was slightly more flexible than D1A1:HSA (0.160 nm).

🔖

Cite This Article

NALÇAKAN, H., KURTAY, G. (2023). Bridging Molecular Docking to Molecular Dynamics to Enlighten Recognition Processes of Tailored D-A/D-A-D Types' AIEgens with HSA/BSA. Journal of Advanced Research in Natural and Applied Sciences, Cilt: 9 Sayı: 3, 670–687. https://ajindex.com/articles/962202

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Ajloo, D., Fazeli, S. M., & Amirani, F. J. (2013). Interaction of Cationic and Anionic Phthalocyanines with Adenosine Deaminase, Molecular Dynamics Simulation and Docking Studies. Computational Molecular Bioscience, 03(04), 81–93. https://doi.org/10.4236/cmb.2013.34010
  2. Akdogan, Y., Reichenwallner, J., & Hinderberger, D. (2012). Evidence for Water-Tuned Structural Differences in Proteins: An Approach Emphasizing Variations in Local Hydrophilicity. PLoS ONE, 7(9), e45681. https://doi.org/10.1371/journal.pone.0045681
  3. Avti, P., Chauhan, A., Shekhar, N., Prajapat, M., Sarma, P., Kaur, H., Bhattacharyya, A., Kumar, S., Prakash, A., Sharma, S., & Medhi, B. (2021). Computational basis of SARS-CoV 2 main protease inhibition: an insight from molecular dynamics simulation based findings. Journal of Biomolecular Structure and Dynamics, 1–11. https://doi.org/10.1080/07391102.2021.1922310
  4. Benet, L. Z., Hosey, C. M., Ursu, O., & Oprea, T. I. (2016). BDDCS, the Rule of 5 and drugability. Advanced Drug Delivery Reviews, 101, 89–98. https://doi.org/10.1016/j.addr.2016.05.007
  5. Chakraborty, D., Musib, D., Saha, R., Das, A., Raza, M. K., Ramu, V., Chongdar, S., Sarkar, K., & Bhaumik, A. (2022). Highly stable tetradentate phosphonate-based green fluorescent Cu-MOF for anticancer therapy and antibacterial activity. Materials Today Chemistry, 24, 100882. https://doi.org/10.1016/j.mtchem.2022.100882
  6. Chandra, S., Qureshi, S., Chopra, D., Dwivedi, A., & Ray, R. S. (2022). Involvement of Type‐I and Type‐II Photodynamic Reactions in Photosensitization of Fragrance Ingredient 2‐acetonaphthone. Photochemistry and Photobiology, 98(5), 1050–1058. https://doi.org/10.1111/php.13593
  7. Cox, T. R. (2021). The matrix in cancer. Nature Reviews Cancer, 21(4), 217–238. https://doi.org/10.1038/s41568-020-00329-7
  8. Daina, A., Michielin, O., & Zoete, V. (2017). SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific Reports, 7(1), 42717. https://doi.org/10.1038/srep42717
  9. Daneman, R., & Prat, A. (2015). The Blood–Brain Barrier. Cold Spring Harbor Perspectives in Biology, 7(1), a020412. https://doi.org/10.1101/cshperspect.a020412
  10. Debela, D. T., Muzazu, S. G., Heraro, K. D., Ndalama, M. T., Mesele, B. W., Haile, D. C., Kitui, S. K., & Manyazewal, T. (2021). New approaches and procedures for cancer treatment: Current perspectives. SAGE Open Medicine, 9, 205031212110343. https://doi.org/10.1177/20503121211034366
  11. Deng, K., Li, C.