Modeling and Simulation in Cancer Nanomedicine
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Keywords

Modeling and Simulation
Cancer
Ion channel
Nanomedicine
molecular dynamics

How to Cite

Talukdar, K. (2021). Modeling and Simulation in Cancer Nanomedicine. Journal of Basic & Applied Sciences, 17, 54–63. https://doi.org/10.29169/1927-5129.2021.17.06

Abstract

There is a certain function of ion channels in cancer cell progression and proliferation. The mutation of ion channels is proved to have a clear influence on the same. The progress of nanomedicine research needs the proper concept of the exact role of ion channels in cancer and the cause of the disease. In this work, an ion channel protein residing in our stomach with PDB id 3ux4 is analyzed to get an idea about its structure-function relationship. The disordered region and mutation sensitivity of the channel causing cancer are analyzed in different ways. Eight disordered regions of the protein are found in the study. The pocket in the active site is found along with the position of the miss-sense mutation. The maximum mutation region is also found for a sample disordered region. The engineered ion channel is simulated in the environment of water and ions. The potential energy of the water-ion model of the protein calculated by molecular dynamics simulation is 20,412 kcal/mol after simulating the system for 1,00000 steps.

https://doi.org/10.29169/1927-5129.2021.17.06
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References

Muthu MS, Singh S. Targeted nanomedicines: Effective treatment modalities for cancer, AIDS and brain disorders. Nanomedicine 2009; 4(1): 105-118. https://doi.org/10.2217/17435889.4.1.105

Deshpande PP, Biswas S, Torchilin V P. Current trends in the use of liposomes for tumor targeting. Nanomedicine, 2013; 8(9): 1509-28. https://doi.org/10.2217/nnm.13.118

Bulbake U, Doppalapudi S, Kommineni N, Khan W. Liposomal Formulations in Clinical Use: An Updated Review. Pharmaceutics 2017; 9(4): 12. https://doi.org/10.3390/pharmaceutics9020012

Lamichhane N, Udayakumar T, D’Souza W, Ii CS, Raghavan S, Polf J, Mahmood J. Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery. Molecules 2018; 23(2): 288. https://doi.org/10.3390/molecules23020288

Mendes LP, Pan J, Torchilin V. Dendrimers as Nanocarriers for Nucleic Acid and Drug Delivery in Cancer Therapy. Molecules 2017; 22(9): 1401. https://doi.org/10.3390/molecules22091401

Franiak-Pietryga I, Ziemba B, Messmer B, Skowronska-Krawczyk D. Dendrimers as Drug Nanocarriers: The Future of Gene Therapy and Targeted Therapies in Cancer. Dendrimers - Fundamentals and Applications 2018, InTech Open. https://doi.org/10.5772/intechopen.75774

Li B, Li Q, Mo J, Dai H. Drug-Loaded Polymeric Nanoparticles for Cancer Stem Cell Targeting. Frontiers in Pharmacology 2017; 8: 51. https://doi.org/10.3389/fphar.2017.00051

Ferrari R, Sponchioni M, Morbidelli M, Moscatelli D. Polymer nanoparticles for the intravenous delivery of anticancer drugs: The checkpoints on the road from the synthesis to clinical translation. Nanoscale 2018; 10(48): 22701-22719. https://doi.org/10.1039/C8NR05933K

Wu M, Huang S. Magnetic nanoparticles in cancer diagnosis, drug delivery and treatment (Review). Molecular and Clinical Oncology 2017; 7(5): 738-746. https://doi.org/10.3892/mco.2017.1399

Chang D, Lim M, Goos JA, Qiao R, Ng YY, Mansfeld, FM., . . . Kavallaris, M. Biologically Targeted Magnetic Hyperthermia: Potential and Limitations. Frontiers in Pharmacology 2018; 9: 831. https://doi.org/10.3389/fphar.2018.00831

Son KH, Hong JH, Lee J W. Carbon nanotubes as cancer therapeutic carriers and mediators. International Journal of Nanomedicine 2016; 11: 5163-5185. https://doi.org/10.2147/IJN.S112660

Sanginario A, Miccoli B, Demarchi D. Carbon Nanotubes as an Effective Opportunity for Cancer Diagnosis and Treatment. Biosensors 2017; 7(1): 9. https://doi.org/10.3390/bios7010009

Frieboes H B, Wu M, Lowengrub J, Decuzzi P, Cristini V. A Computational Model for Predicting Nanoparticle Accumulation in Tumor Vasculature. PLOS ONE 2013; 8(2): e56876. https://doi.org/10.1371/journal.pone.0056876

Cai Y, Wu J, Li Z, Long Q. Mathematical Modelling of a Brain Tumour Initiation and Early Development: A Coupled Model of Glioblastoma Growth, Pre-Existing Vessel Co-Option, Angiogenesis and Blood Perfusion. PLOS ONE 2016; 11: e0150296. https://doi.org/10.1371/journal.pone.0150296

Brocato TA, Coker EN, Durfee P.N. et al. Understanding the Connection between Nanoparticle Uptake and Cancer Treatment Efficacy using Mathematical Modeling. Sci Rep 2018; 8: 7538. https://doi.org/10.1038/s41598-018-25878-8

Dogra, P., Butner, J.D., Chuang, Yl. et al. Mathematical modeling in cancer nanomedicine: a review. Biomed Microdevices 2019; 21: 40. https://doi.org/10.1007/s10544-019-0380-2

Sahai N, Gogoi M, Ahmad N. Mathematical Modeling and Simulations for Developing Nanoparticle-Based Cancer Drug Delivery Systems: A Review. Curr Pathobiol Rep 2021; 9: 1-8. https://doi.org/10.1007/s40139-020-00219-5

Cheng YH, He C, Riviere J E, Monteiro-Riviere NA, Lin Z. Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach. ACS Nano 2020; 14: 3075-3095. https://doi.org/10.1021/acsnano.9b08142

Prevarskaya N, Skryma R, Shuba Y. Ion channels in cancer: Are cancer hallmarks oncochannelopathies? Physiol Rev 2018; 98(2): 559-621. https://doi.org/10.1152/physrev.00044.2016

Leanza L, Managò A, Zoratti M, Gulbins E, Szabo I. Pharmacological targeting of ion channels for cancer therapy: In vivo evidences. Biochim Biophys Acta 2016; 1836(6 pt B): 1385-97. https://doi.org/10.1016/j.bbamcr.2015.11.032

Bose T, Cieślar-Pobuda A, Wiechec E. Role of ion channels in regulating Ca2+ homeostasis during the interplay between immune and cancer cells. Cell Death Dis 2015; 6(2): e1648. https://doi.org/10.1038/cddis.2015.23

Litan, A., Langhans, S.A. Cancer as a channelopathy: ion channels and pumps in tumor development and progression. Front. Cell. Neurosci 2015; 9: 86. https://doi.org/10.3389/fncel.2015.00086

Lang F, Stournaras C. Ion channels in cancer: future perspectives and clinical potential. Philos Trans R Soc Lond B Biol Sci 2014; 369(1638): 20130108. https://doi.org/10.1098/rstb.2013.0108

Storm P, Kjaer Klausen T, Trulsson M, Ho, JCS, Dosnon M et al. A Unifying Mechanism for Cancer Cell Death through Ion Channel Activation by HAMLET. PLOS ONE 2013; 8(3): e58578. https://doi.org/10.1371/journal.pone.0058578

Șterbuleac D, Maniu CL. An antiarrhythmic agent as a promising lead compound for targeting the hEAG1 ion channel in cancer therapy: insights from molecular dynamics simulations. Chem Biol Drug Des 2016; 88(5): 683-689. https://doi.org/10.1111/cbdd.12797

Cervera J, Alcaraz A, Mafe S. Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics. Sci Rep 2016; 6: 20403. https://doi.org/10.1038/srep20403

Kelley L, Mezuli S, Yate C. et al. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc 2015; 10: 845-858. https://doi.org/10.1038/nprot.2015.053

Wass MN, Kelley LA, Sternberg MJ. 3DLigandSite: predicting ligand-binding sites using similar structures. Nucleic Acids Res 2010; 38(Web Server issue): W469-W473. https://doi.org/10.1093/nar/gkq406

Oberholser K, Sussman J L, Hodis E, Decatur W, Livne S, Prilusky J, Richardson JS, Berchansky A. 2013, "Ramachandran Plot", Proteopedia, https://doi.org/10.14576/381225.1772128

Le Guilloux V, Schmidtke P, Tuffery P. Fpocket: An open source platform for ligand pocket detection. BMC Bioinformatics 2009; 10: 168. https://doi.org/10.1186/1471-2105-10-168

Yates CM, Filippis I, Kelley LA, Sternberg MJ. SuSPect: enhanced prediction of single amino acid variant (SAV) phenotype using network features. J Mol Biol 2014; 426(14): 2692-701. https://doi.org/10.1016/j.jmb.2014.04.026

McNulty R, Ulmschneider J, Luecke H. et al. Mechanisms of molecular transport through the urea channel of Helicobacter pylori. Nat Commun 2013; 4: 2900. https://doi.org/10.1038/ncomms3900

Strugatsky D, McNulty R, Munson K. et al. Structure of the proton-gated urea channel from the gastric pathogen Helicobacter pylori. Nature 2013; 493: 255-258. https://doi.org/10.1038/nature11684

Suzuki R, Satou K, Shiroma A, Shimoji M, Teruya K, Matsumoto T, Akada J, Hirano T, Yamaoka Y. Genome-wide mutation analysis of Helicobacter pylori after inoculation to Mongolian gerbils. Gut pathogens 2019; 11: 45. https://doi.org/10.1186/s13099-019-0326-5

Breed J, Sankararamakrishnan R, Kerr I D, Sansom MS. Molecular dynamics simulations of water within models of ion channels. Biophysical journal 1996; 70(4): 1643-1661. https://doi.org/10.1016/S0006-3495(96)79727-8

Copie G, Cleri F, Blossey R. et al. On the ability of molecular dynamics simulation and continuum electrostatics to treat interfacial water molecules in protein-protein complexes. Sci Rep 2016; 6: 38259. https://doi.org/10.1038/srep38259

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