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Books on the topic 'Drug screening model'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

Ramachandran, Saravanan, and Senthilkumar Rajagopal. Zebrafish: A Model for Marine Peptide Based Drug Screening. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7844-7.

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2

Mylonakis, Eleftherios, and George Tegos. Antimicrobial drug discovery: Emerging strategies. Wallingford, Oxfordshire: CABI, 2012.

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3

Eugene, Lloyd W., American Academy of Veterinary and Comparative Toxicology., and Iowa State University. Veterinary Diagnostic Laboratory., eds. Safety evaluation of drugs and chemicals. Washington: Hemisphere Pub. Corp., 1986.

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4

Seminar on Human Tumour Xenografts (1986 Milan, Italy). Human tumour xenografts in anticancer drug development. Berlin: Springer-Verlag, 1988.

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5

R, Cutler Neal, ed. Accelerating CNS drug development. Chichester: John Wily & Sons, 1998.

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6

Rajagopal, Senthilkumar, and Saravanan Ramachandran. Zebrafish: A Model for Marine Peptide Based Drug Screening. Springer Singapore Pte. Limited, 2020.

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7

Rajagopal, Senthilkumar, and Saravanan Ramachandran. Zebrafish: A Model for Marine Peptide Based Drug Screening. Springer Singapore Pte. Limited, 2019.

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8

Haney, Steven A., Douglas Bowman, and Arijit Chakravarty. Introduction to High Content Screening. Wiley & Sons, Incorporated, John, 2014.

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9

van, Boxtel Christoffel Jos, Holford N. H. G, and Danhof M, eds. The In vivo study of drug action. Amsterdam: Elsevier, 1992.

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10

Willner, Paul. Behavioural Models in Psychopharmacology: Theoretical, Industrial and Clinical Perspectives. Cambridge University Press, 1991.

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11

Paul, Willner, ed. Behavioural models in psychopharmacology: Theoretical, industrial, and clinical perspectives. Cambridge: Cambridge University Press, 1990.

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12

An Introduction To High Content Screening: Imaging Technology, Assay Development, and Data Analysis in Biology and Drug Discovery. Wiley, 2015.

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13

Davies, Anthony, Steven A. Haney, Douglas Bowman, Arijit Chakravarty, and Caroline Shamu. Introduction to High Content Screening: Imaging Technology, Assay Development, and Data Analysis in Biology and Drug Discovery. Wiley & Sons, Incorporated, John, 2014.

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14

Davies, Anthony, Steven A. Haney, Douglas Bowman, Arijit Chakravarty, and Caroline Shamu. Introduction to High Content Screening: Imaging Technology, Assay Development, and Data Analysis in Biology and Drug Discovery. Wiley & Sons, Limited, John, 2015.

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15

Davies, Anthony, Steven A. Haney, Douglas Bowman, Arijit Chakravarty, and Caroline Shamu. Introduction to High Content Screening: Imaging Technology, Assay Development, and Data Analysis in Biology and Drug Discovery. Wiley & Sons, Incorporated, John, 2014.

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16

(Editor), John Sterling, Ellyn Kerr (Editor), and Shannon Simons (Editor), eds. Methods and Technologies in Drug Discovery. Mary Ann Liebert, Inc., 2005.

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17

Kurtz, Neil M., John J. Sramek, Angelico Carta, Neal R. Cutler, and Michael F. Murphy. Accelerating CNS Drug Development. Wiley & Sons, Incorporated, John, 2009.

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18

Kurtz, Neil M., John J. Sramek, Angelico Carta, Neal R. Cutler, and Michael F. Murphy. Accelerating CNS Drug Development. John Wiley & Sons, 1998.

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19

Chemosensitivity: Volume 1 : in vitro assays. Totowa, NJ: Humana Press, 2005.

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20

Blumenthal, Rosalyn D. Chemosensitivity: Volume I: In Vitro Assays (Methods in Molecular Medicine). Humana Press, 2005.

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21

Horan Fisher, Jacqueline, Sara Becker, Molly Bobek, and Aaron Hogue. Substance-Related and Addictive Disorders. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.29.

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Abstract:
Significant developmental changes in adolescence typically lead to increased risky behavior, including substance use. Survey data indicated that adolescent alcohol and drug use has declined in recent years, with the exception of marijuana use, which has remained consistent, and e-cigarette use, which is on the rise. This chapter provides a summary of prevalence rates, trends, and maladaptive consequences of adolescent substance use. Etiological models of adolescent substance use are discussed, including dual-process and biopsychosocial models. Current literature on evidence-based screening, comprehensive assessment, and treatment is also reviewed. Despite the recent advances made regarding our ability to screen, assess, diagnose, and treat adolescent substance use, a significant treatment gap persists, which has significant individual and public health impacts. This chapter therefore concludes with a call for research that aims to increase patient awareness of effective treatment via strategies such as technology-delivered assessment and intervention and usage of direct-to-consumer marketing.
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22

Blumenthal, Rosalyn D. Chemosensitivity : Volume I: In Vitro Assays. Humana Press, 2010.

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23

Nat, Roxana, and Andreas Eigentler. Cell Culture, iPS Cells and Neurodegenerative Diseases. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190233563.003.0013.

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Somatic reprogramming technology, which enables the conversion of adult human non-neural cells into neurons, has progressed rapidly in recent years. The derivation of patient-specific induced pluripotent stem (iPS) cells has become routine. The inherent broad differentiation potential of iPS cells makes possible the generation of diverse types of human neurons. This constitutes a remarkable step in facilitating the development of more appropriate and comprehensive preclinical human disease models, as well as for high throughput drug screenings and cell therapy. This chapter reviews recent progress in the human iPS cell culture models related to common and rare NDDs, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, amyotrophic lateral sclerosis, spinal muscular atrophy, and degenerative ataxias. It focuses on the pathophysiological features revealed in cell cultures, and the neuronal subtypes most affected in NDDs. The chapter discusses the validity, limitation, and improvements of this system in faithfully and reproducibly recapitulating disease pathology.
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24

1961-, Healing Guy, and Smith David 1944-, eds. Handbook of pre-clinical continuous intravenous infusion. London: Taylor & Francis, 2000.

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25

D, Blumenthal Rosalyn, ed. Chemosensitivity. Totowa, N.J: Humana Press, 2005.

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26

Coates, Laura C., and Philip S. Helliwell. Psoriatic arthritis. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0114.

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Psoriasis is a chronic skin condition affecting about 3% of Europeans and North Americans. About 15% of people afflicted with psoriasis will develop psoriatic arthritis—cutaneous risk factors for this are psoriasis of the nails, scalp, and flexures. Since most cases of arthritis develop in people with psoriasis, new screening tools, both clinical and imaging, are available. Some genetic factors may also explain susceptibility and severity. Historically, five clinical subgroups have been described but these may be simplified to axial and peripheral involvement, the latter dividing into oligo- and polyarticular patterns. The importance of these clinical subdivisions is still under debate and research but it is clear that there is marked heterogeneity in all manifestations of this disease. In recent times the importance of extra-articular features has gained prominence such that the metabolic syndrome and cardiovascular morbidity are now seen as important features of 'psoriatic disease'. The diverse changes seen in bone on imaging reflect both the underlying pathogenic mechanisms and the ways in which the disease progresses. Recent work with animal models and immunohistochemistry has further advanced our understanding of these features. In the biologic era renewed interest in psoriatic arthritis has stimulated research into outcome assessment and permitted clearer understanding of how these new drugs work on the different aspects of the disease. In addition, improved recognition of the impact of the disease on the person has stimulated the development of new patient-reported outcome tools.
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27

Coates, Laura C., and Philip S. Helliwell. Psoriatic arthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642489.003.0114_update_003.

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Abstract:
Psoriasis is a chronic skin condition affecting about 3% of Europeans and North Americans. About 15% of people afflicted with psoriasis will develop psoriatic arthritis—cutaneous risk factors for this are psoriasis of the nails, scalp, and flexures. Since most cases of arthritis develop in people with psoriasis, new screening tools, both clinical and imaging, are available. Some genetic factors may also explain susceptibility and severity. Historically, five clinical subgroups have been described but these may be simplified to axial and peripheral involvement, the latter dividing into oligo- and polyarticular patterns. The importance of these clinical subdivisions is still under debate and research but it is clear that there is marked heterogeneity in all manifestations of this disease. In recent times the importance of extra-articular features has gained prominence such that the metabolic syndrome and cardiovascular morbidity are now seen as important features of ’psoriatic disease’. The diverse changes seen in bone on imaging reflect both the underlying pathogenic mechanisms and the ways in which the disease progresses. Recent work with animal models and immunohistochemistry has further advanced our understanding of these features. In the biologic era renewed interest in psoriatic arthritis has stimulated research into outcome assessment and permitted clearer understanding of how these new drugs work on the different aspects of the disease. In addition, improved recognition of the impact of the disease on the person has stimulated the development of new patient-reported outcome tools.
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