A Primer in Knowledge Management for Nanoinformatics in Medicine

Martín-Sánchez, Fernando; López-Alonso, Victoria; Hermosilla-Gimeno, Isabel; López-Campos, Guillermo

doi:10.1007/978-3-540-85565-1_9

Cited by 12 publications

(8 citation statements)

References 1 publication

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“…The ACTION-grid project (Kern et al, 2008;Martín-Sanchez et al, 2008;Chiesa et al, 2009;De La Calle et al, 2009;, expected to create a common health information infrastructure in Europe to be extended to other regions, is considering nanomedicine and nanoinformatics as cardinal points of the project.…”

Section: Nanoinformatics Has Taken Its First Stepsmentioning

confidence: 99%

Nanotechnology and human health: risks and benefits

Cattaneo

Gornati

Sabbioni

et al. 2010

J of Applied Toxicology

136

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Nanotechnology is expected to be promising in many fields of medical applications, mainly in cancer treatment. While a large number of very attractive exploitations open up for the clinics, regulatory agencies are very careful in admitting new nanomaterials for human use because of their potential toxicity. The very active research on new nanomaterials that are potentially useful in medicine has not been counterbalanced by an adequate knowledge of their pharmacokinetics and toxicity. The different nanocarriers used to transport and release the active molecules to the target tissues should be treated as additives, with potential side effects of themselves or by virtue of their dissolution or aggregation inside the body. Only recently has a systematic classification of nanomaterials been proposed, posing the basis for dedicated modeling at the nanoscale level. The use of in silico methods, such as nano-QSAR and PSAR, while highly desirable to expedite and rationalize the following stages of toxicological research, are not an alternative, but an introduction to mandatory experimental work.

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Section: Nanoinformatics Has Taken Its First Stepsmentioning

confidence: 99%

Nanotechnology and human health: risks and benefits

Cattaneo

Gornati

Sabbioni

et al. 2010

J of Applied Toxicology

136

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“…By now, there are three LBDD approaches, i.e., ligand‐based quantitative structure activity relationship (i.e., QSAR, quantitative structure‐activity relationship, sometimes referred to as quantitative structure‐property relationship), pharmacophore modeling, and similarity search, all of which are applicable to the drug discovery process. Based on the hypotheses that similar molecules have similar activities and on the principle of structure‐activity correlation, QSAR is the process by which chemical structure is quantitatively correlated with a well‐defined process, such as biological activity or chemical descriptors . The pharmacophore modeling is used to define the essential features of one or more molecules with the same biological activity.…”

Section: Development Of Epigenetic Inhibitors For Histone Methylationmentioning

confidence: 99%

Chemical and biochemical approaches in the study of histone methylation and demethylation

Luo

Wang

et al. 2012

Medicinal Research Reviews

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Histone methylation represents one of the most critical epigenetic events in DNA function regulation in eukaryotic organisms. Classic molecular biology and genetics tools provide significant knowledge about mechanisms and physiological roles of histone methyltransferases and demethylases in various cellular processes. In addition to this stream line, development and application of chemistry and chemistry-related techniques are increasingly involved in biological study, and provide information otherwise difficulty to obtain by standard molecular biology methods. Herein, we review recent achievements and progress in developing and applying chemical and biochemical approaches in the study of histone methylation, including chromatin immunoprecipitation (ChIP), chemical ligation, mass spectrometry (MS), biochemical assays, and inhibitor development. These technological advances allow histone methylation to be studied from genome-wide level to molecular and atomic levels. With ChIP technology, information can be obtained about precise mapping of histone methylation patterns at specific promoters, genes or other genomic regions. MS is particularly useful in detecting and analyzing methylation marks in histone and nonhistone protein substrates. Chemical approaches that permit site-specific incorporation of methyl groups into histone proteins greatly facilitate the investigation of the biological impacts of methylation at individual modification sites. Discovery and design of selective organic inhibitors of histone methyltransferases and demethylases provide chemical probes to interrogate methylation-mediated cellular pathways. Overall, these chemistry-related technological advances have greatly improved our understanding of the biological functions of histone methylation in normal physiology and diseased states, and also are of great potential to translate basic epigenetics research into diagnostic and therapeutic application in the clinic.

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“…For example, it is better to have ontological knowledge about the nanodevice information, and it is preferable to consider the usage of the nanoinformatics computational resources [6,5]. In addition, it is necessary to make a framework that can represent a sequence of trial and error processes for analysis.…”

Section: Towards Evidence-based Exper-iment Planningmentioning

confidence: 99%

“…A wide variety of research studies are conducted in nanoinformatics [6]. Especially in the field of nanomedicine development, some integrated computational frameworks have already been proposed (e.g., [5]). …”

Section: Introductionmentioning

confidence: 99%

Knowledge exploratory project for nanodevice design and manufacturing

Yoshioka

Tomioka

Hara

et al. 2010

Proceedings of the 12th International Conference on Information Integration and Web-Based Applications &Amp; Services

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We are developing a framework for knowledge creation in nanodevice development, based on collaboration between nanodevice engineers and computer science researchers. Development of nanodevices requires a variety of knowledge; some of this knowledge is tacit, based on the user's experience. Therefore, it is difficult to become a good engineer in this development process. We propose the concept of "Evidence-based experiment planning" and develop a process for supporting experiment planning in nanodevice development. This system applies knowledge discovery techniques to records of previous experiments to extract experienced engineers' tacit knowledge.

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A Primer in Knowledge Management for Nanoinformatics in Medicine

Cited by 12 publications

References 1 publication

Nanotechnology and human health: risks and benefits

Nanotechnology and human health: risks and benefits

Chemical and biochemical approaches in the study of histone methylation and demethylation

Knowledge exploratory project for nanodevice design and manufacturing

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