Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder leading to several structural, biochemical, or electrical abnormalities in the brain. Though it is mainly caused by the mutation in the genes, the other factors such as environment, health, and lifestyle also contribute to the disease. Recent interest has been turned toward harnessing the potential of nanomaterials for the treatment of AD. Assessing the therapeutic potential of the nanomaterials toward AD using in vivo and in vitro methods suffers from several limitations. The conventional in vivo and in vitro methods are laborious and time consuming and it requires sophisticated facilities. Herein we report the computational nanotechnology approaches for modeling the different nanomaterials, assessing the toxicity of the nanomaterials, and strategies to investigate the therapeutic efficacy of these materials for treating AD. This chapter discusses on using Lipinski’s rule of five and rule of three for assessing the drug-like and lead-like characteristics of the nanomaterials. The chapter also addresses the advantages of computational analysis of ADME (absorption, distribution, metabolism, and excretion) characteristics, drug likeliness of nanomaterials, and the role of molecular docking techniques for assessing the therapeutic efficacy of the nanomaterials.
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References
Alzheimer’s Association (2016) 2016 Alzheimer’s disease facts and figures. Alzheimers Dement 12(4):459–509
Berrios GE (1991) Alzheimer’s disease: a conceptual history. Int J Geriatr Psychiatry 5:355–365
Brundin P, Melki R, Kopito R (2010) Prion-like transmission of protein aggregates in neurodegenerative diseases. Nat Rev Mol Cell Biol 11(4):301–307
Bachurin SO, Bovina EV, Ustyugov AA (2017) Drugs in clinical trials for Alzheimer's disease: the major trends. Med Res Rev. doi:10.1002/med.21434
Bekris LM, Yu CE, Bird TD, Tsuang DW (2010) Genetics of Alzheimer disease. J Geriatr Psychiatry Neurol 23(4):213–227
Bird TD (2008) Genetic aspects of Alzheimer disease. Genet Med 10:231–239
Skaper SD (2012) Alzheimer's disease and amyloid: culprit or coincidence? Int Rev Neurobiol doi 102:277–316
Yoshida S, Suzuki N (1993) Antiamnesic and cholinomimetic side-effects of the cholinesterase inhibitors, physostigmine, tacrine and NIK-247 in rats. Eur J Pharmacol 250(1):117–124
Casey DA, Antimisiaris D, O’Brien J (2010) Drugs for Alzheimer’s disease: are they effective? P T 35(4):208–211
Ridha BH, Josephs KA, Rossor MN (2005) Delusions and hallucinations in dementia with Lewy bodies: worsening with memantine. Neurology 65:481–482
Kumar GP, Khanum F (2010) Neuroprotective potential of phytochemicals. Pharmacogn Rev 6(12):81–90
Howes MJ, Houghton PJ (2012) Ethnobotanical treatment strategies against Alzheimer's disease. Curr Alzheimer Res 9(1):67–85
Galimberti D, Scarpini E (2011) Disease-modifying treatments for Alzheimer's disease. Ther Adv Neurol Disord 4(4):203–216
Marciani DJ (2016) Rejecting the Alzheimer's disease vaccine development for the wrong reasons. Drug Discov Today 2017 22(4):609–614
Doggui S, Dao L, Ramassamy C (2012) Potential of drug-loaded nanoparticles for Alzheimer's disease: diagnosis, prevention and treatment. Ther Deliv 3(9):1025–1027
Xue X, Wang LR, Sato Y, Jiang Y, Berg M, Yang DS, Nixon RA, Liang XJ (2014) Single-walled carbon nanotubes alleviate autophagic/lysosomal defects in primary glia from a mouse model of Alzheimer's disease. Nano Lett 14(9):5110–5117
Yang Z, Ge C, Liu J, Chong Y, Gu Z, Jimenez-Cruz CA, Chai Z, Zhou R (2015) Destruction of amyloid fibrils by graphene through penetration and extraction of peptides. Nanoscale 7(44):18725–18737
Soltani N, Gholami MR (2016) Increase in the Beta-sheet character of an Amyloidogenic peptide upon adsorption onto gold and silver surfaces. Chemphyschem 29. doi:10.1002/cphc.201601000
Merkle RC (1991) Computational nanotechnology. Nanotechnology 2(3):134–141
González-Nilo F, Pérez-Acle T, Guínez-Molinos S, Geraldo DA, Sandoval C, Yévenes A, Santos LS, Laurie VF, Mendoza H, Cachau RE (2011) Nanoinformatics: an emerging area of information technology at the intersection of bioinformatics, computational chemistry and nanobiotechnology. Biol Res 44(1):43–51
Zdrojewicz Z, Waracki M, Bugaj B, Pypno D, Cabała K (2015) Medical applications of nanotechnology. Postepy Hig Med Dosw 69:1196–1204
Balasundaram G, Webster TJ (2006) Nanotechnology and biomaterials for orthopedic medical applications. Nanomedicine (Lond) 1(2):169–176
Tiwari JN, Tiwari RN, Kim KS (2012) Zero-dimensional, one-dimensional, two-dimensional and three-dimensional nanostructured materials for advanced electrochemical energy devices. Prog Mater Sci 57(4):724–803
Kevin John PA, Muralidharan M, Muniyandi J, Navanietha Krishnaraj R, Sangiliyandi G (2014) Synthesis of silver nanoparticles using pine mushroom extract: a potential antimicrobial agent against E.Coli and B. Subtilis. J Ind Eng Chem 20(4):2325–2321
Navanietha Krishnaraj R, Berchmans S (2013) In vitro antiplatelet activity of silver nanoparticles synthesized using the microorganism Gluconobacter roseus: an AFM-based study. RSC Adv 3:8953–8959
Pramanik A, Kole AK, Navanietha Krishnaraj R, Biswas S, Tiwary CS, Varalakshmi P, Rai SK, Kumar A, Kumbhakar P (2016) A novel technique of synthesis of highly fluorescent carbon nanoparticles from broth constituent and in-vivo bioimaging of C. elegans. J Fluoresc 26(5):1541–1548
Hosseini A, Sharifi AM, Abdollahi M, Najafi R, Baeeri M, Rayegan S, Cheshmehnour J, Hassani S, Bayrami Z, Safa M (2015) Cerium and yttrium oxide nanoparticles against lead-induced oxidative stress and apoptosis in rat hippocampus. Biol Trace Elem Res 164(1):80–89
Ghaznavi H, Najafi R, Mehrzadi S, Hosseini A, Tekyemaroof N, Shakeri-Zadeh A, Rezayat M, Sharifi AM (2015) Neuro-protective effects of cerium and yttrium oxide nanoparticles on high glucose-induced oxidative stress and apoptosis in undifferentiated PC12 cells. Neurol Res 37(7):624–632
Schubert D, Dargusch R, Raitano J, Chan SW (2006) Cerium and yttrium oxide nanoparticles are neuroprotective. Biochem Biophys Res Commun 342(1):86–91
Barnham KJ, Kenche VB, Ciccotosto GD, Smith DP, Tew DJ, Liu X, Perez K, Cranston GA, Johanssen TJ, Volitakis I, Bush AI, Masters CL, White AR, Smith JP, Cherny RA, Cappai R (2008) Platinum-based inhibitors of amyloid-beta as therapeutic agents for Alzheimer's disease. Proc Natl Acad Sci U S A 105(19):6813–6818
Liu Y, Xu LP, Dai W, Dong H, Wen Y, Zhang X (2015) Graphene quantum dots for the inhibition of β amyloid aggregation. Nanoscale 7(45):19060–19065
Wohlfart S, Gelperina S, Kreuter J (2012) Transport of drugs across the blood-brain barrier by nanoparticles. J Control Release 161(2):264–273
Kang MK, Lee J, Nguyen AH, Sim SJ (2015) Label-free detection of ApoE4-mediated β-amyloid aggregation on single nanoparticle uncovering Alzheimer's disease. Biosens Bioelectron 72:197–204
Li SS, Lin CW, Wei KC, Huang CY, Hsu PH, Liu HL, Lu YJ, Lin SC, Yang HW, Ma CC (2016) Non-invasive screening for early Alzheimer's disease diagnosis by a sensitively immunomagnetic biosensor. Sci Rep 6:25155
Haiyan D, Yu G, Patrick JS, Zaisheng W, Jianguo X, Lee J (2016) The nanotechnology race between China and USA. Nano Today 11(1):7–12
Doke SK, Dhawale SC (2015) Alternatives to animal testing: a review. Saudi Pharm J 23(3):223–229
Maojo V, Fritts M, de la Iglesia D, Cachau RE, Garcia-Remesal M, Mitchell JA, Kulikowski C (2012) Nanoinformatics: a new area of research in nanomedicine. Int J Nanomedicine 7:3867–3890
Hanwell MD, Curtis DE, Lonie DC, Vandermeersch T, Zurek E, Hutchison GR (2012) Avogadro: an advanced semantic chemical editor, visualization, and analysis platform. J Chem 4:17
Navanietha Krishnaraj R, Chandran S, Pal P, Berchmans S (2014) Investigations on the antiretroviral activity of carbon nanotubes using computational molecular approach, combinatorial chemistry and high throughput screening 17(6):531–5
Vecitis CD, Zodrow KR, Kang S, Elimelech M (2010) Electronic-structure-dependent bacterial cytotoxicity of single-walled carbon nanotubes. ACS Nano 4:5471–5479
Samorì C, Ali-Boucetta H, Sainz R, Guo C, Toma FM, Fabbro C, da Ros T, Prato M, Kostarelos K, Bianco A (2010) Enhanced anticancer activityof multi-walled carbon nanotube-methotrexate conjugates using cleavable linkers. Chem Commun (Camb) 46:1494–1496
Lucente-Schultz RM, Moore VC, Leonard AD, Price BK, Kosynkin DV, Lu M, Partha R, Conyers JL, Tour JM (2009) Antioxidant single-walled carbon nanotubes. J Am Chem Soc 131(11):3934–3941
Ji H, Yang Z, Jiang W, Geng C, Gong M, Xiao H, Wang Z, Cheng L (2008) Antiviral activity of nano carbon fullerene lipidosome against influenza virus in vitro. J Huazhong Univ Sci Technolog Med Sci 28:243–246
Radomski A, Jurasz P, Alonso-Escolano D, Drews M, Morandi M, Malinski T, Radomski MW (2005) Nanoparticle-induced platelet aggregation and vascular thrombosis. Br J Pharmacol 146(6):882–893
Novoselov KS, Fal′ko VI, Colombo L, Gellert PR, Schwab MG, Kim K A roadmap for graphene. Nature 490:192–200
Navanietha Krishnaraj R, Chandran S, Pal P, Varalakshmi P, Malliga P (2014) Molecular interactions of Graphene with HIV-Vpr, Nef and gag proteins. Korean J Chem Eng Springer 31(5):744–747
Liu Y, Dong X, Chen P (2012) Biological and chemical sensors based on graphene materials. Chem Soc Rev 41(6):2283–2307
Yang K, Feng L, Shi X, Liu Z (2013) Nano-graphene in biomedicine: theranostic applications. Chem Soc Rev 42(2):530–547
Aghili Z, Taheri S, Zeinabad HA, Pishkar L, Saboury AA, Rahimi A, Falahati M (2016) Investigating the interaction of Fe nanoparticles with lysozyme by biophysical and molecular docking studies. PLoS One 11(10):e0164878
Tokarský J, Čapková P, Rafaja D, Klemm V, Valášková M, Kukutschová J, Tomášek V (2010) Adhesion of silver nanoparticles on the clay substrates; modeling and experiment. Appl Surf Sci 256(9):2841–2848
Cagın T, Wang G, Martin R, Breen N, Goddard WA III (2000) Molecular modelling of dendrimers for nanoscale applications. Nanotechnology 11(2000):77–84
Navanietha Krishnaraj R., Chandran S., Pal P., Berchmans S. (2013) Screening of photosynthetic pigments for herbicidal activity with a new computational molecular approach, Combinatorial chemistry and high throughput screening, 16, 777–781
Navanietha Krishnaraj R, Chandran S, Pal P, Berchmans S (2014) Molecular Modeling and assessing the catalytic activity of glucose dehydrogenase of Gluconobacter suboxydans with a new approach for power generation in a microbial fuel cell. Curr Bioinforma 9(3):327–330
Dodda SR, Sarkar N, Aikat K, Navanietha Krishnaraj R, Bhattacharjee S, Bagchi A, Mukhopadhyay SS (2016) Insights from the moleculardynamics simulation of Cellobiohydrolase Cel6A molecular structural model from Aspergillus fumigates NITDGPKA3. Comb Chem High Throughput Screen 19:000
Navanietha Krishnaraj R, Kumari SS, Mukhopadhyay SS (2016) Antagonistic molecular interactions of photosynthetic pigments with molecular disease targets-a new approach to treat AD and ALS. J Recept Signal Transduction 36:67–71
Navanietha Krishnaraj R, Samanta S, Kumar A, Sani R (2017) Bioprospecting of the thermostable cellulolytic enzyme through modeling and virtual screening method. Can J Biotechnol 1(1):19–25
Navanietha Krishnaraj R, Pal P (2017) Enzyme-substrate interaction based approach for screening Electroactive microorganisms for microbial fuel cell applications. Indian J Chem Technol 24(1):93–96
Navanietha Krishnaraj R, Berchmans S, Pal P (2015) The three-compartment microbial fuel cell: a new sustainable approach to bioelectricity generation from lignocellulosic biomass. Cellulose 22:655–662
Bhuvaneswari A, Navanietha Krishnaraj R, Berchmans S (2013) Metamorphosis of pathogen to electrigen at the electrode/electrolyte interface: direct electron transfer of Staphylococcus aureus leading to superior electrocatalytic activity. Electrochem Commun 34:25–28
Navanietha Krishnaraj R, Karthikeyan R, Berchmans S, Chandran S, Pal P (2013) Functionalization of electrochemically deposited chitosan films with alginate and Prussian blue for enhanced performance of microbial fuel cells. Electrochim Acta 112:465–472
Navanietha Krishnaraj N, Yu JS (2014) Systems biology approaches for microbial fuel cell applications. Bioenergy: opportunities and challenges. Apple Academic Press, New Jersey, pp 125–139. doi:10.1201/b18718-8. ISBN-10: 1771881097.
Mahato D, Samanta D, Mukhopadhyay SS, Navanietha Krishnaraj R (2016) A systems biology approach for elucidating the interaction of curcumin with Fanconi anemia FANC G protein and the key disease targets of leukemia. J Recept Signal Transduct 8:1–7
Coulson EJ, May LM, Osborne SL, Reid K, Underwood CK, Meunier FA, Bartlett PF, Sah P (2008) p75 neurotrophin receptor mediates neuronal cell death by activating GIRK channels through phosphatidylinositol 4,5-bisphosphate. J Neurosci 28:315–324
Kalb R (2005) The protean actions of neurotrophins and their receptors on the life and death of neurons. Trends Neurosci 28:5–11
Ma L, Ohyagi Y, Miyoshi K, Sakae N, Motomura K, Taniwaki T, Furuya H, Takeda K, Tabira T, Kira J (2009) Increase in p53 protein levels by presenilin 1 gene mutations and its inhibition by secretase inhibitors. J Alzheimers Dis 16(3):565–575
Fu AK, Hung KW, Huang H, Gu S, Shen Y, Cheng EY, Ip FC, Huang X, Fu WY, Ip NY (2014) Blockade of EphA4 signaling ameliorates hippocampal synaptic dysfunctions in mouse models of Alzheimer's disease. Proc Natl Acad Sci U S A 111(27):9959–9964
Rosenberger AF, Rozemuller AJ, van der Flier WM, Scheltens P, van der Vies SM, Hoozemans JJ (2014) Altered distribution of the EphA4 kinase in hippocampal brain tissue of patients with Alzheimer's disease correlates with pathology. Acta Neuropathol Commun 2:79
Schmalbach S, Petri S (2010) Histone deacetylation and motor neuron degeneration. CNS Neurol Disord Drug Targets 9:279–284
Trott O, Olson AJ (2010) AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem 31:455–461
Navanietha Krishnaraj R., Sani R., (2017) Molecular interactions of carbon nanomaterials with disease target proteins of Alzheimer’s disease. (our unpublished data)
Alavijeh MS, Chishty M, Qaiser MZ, Palmer AM (2005) Drug metabolism and pharmacokinetics, the blood-brain barrier, and central nervous system drug discovery. NeuroRx 2(4):554–571
Pardridge WM (2012) Drug transport across the blood–brain barrier. J Cereb Blood Flow Metab 32(11):1959–1972
Congreve M, Carr R, Murray C, Jhoti H (2003) A ‘rule of three’ for fragment-based lead discovery? Drug Discov Today 8(19):876–877
Agyare EK, Curran GL, Ramakrishnan M, Yu CC, Poduslo JF, Kandimalla KK (2008) Development of a smart nano-vehicle to target cerebrovascular amyloid deposits and brain parenchymal plaques observed in Alzheimer's disease and cerebral amyloid angiopathy. Pharm Res 25(11):2674–2684
Panza F, Frisardi V, Solfrizzi V, Imbimbo BP, Logroscino G, Santamato A, Greco A, Seripa D, Pilotto A (2012) Immunotherapy for Alzheimer's disease: from anti-β-amyloid to tau-based immunization strategies. Immunotherapy 4(2):213–238
Rygiel K (2016) Novel strategies for Alzheimer's disease treatment: an overview of anti-amyloid beta monoclonal antibodies. Indian J Pharm 48(6):629–636
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Navanietha Krishnaraj, R., Samanta, D., Sani, R.K. (2018). Computational Nanotechnology: A Tool for Screening Therapeutic Nanomaterials Against Alzheimer’s Disease. In: Roy, K. (eds) Computational Modeling of Drugs Against Alzheimer’s Disease. Neuromethods, vol 132. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7404-7_21
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DOI: https://doi.org/10.1007/978-1-4939-7404-7_21
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