Abstract
In this chapter we introduce a new informatics field called “Nanoinformatics” based on our own research and on consensus work carried out under the auspices of the US National Cancer Institute (NCI) and the European Commission (EC). Nanoinformatics can be defined as the “use of informatics techniques for analyzing and processing information about the structure and physicochemical characteristics of nanoparticles, their environments, and applications”. Its goal is to use information to accelerate research in nanomedicine. We summarize various areas of research and applications, such as ontologies and semantic search, text mining, imaging, standards, together with an example of the research our group has performed in this field on text mining for extracting information about nanotoxicity from the literature.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- BI:
-
Bioinformatics
- BMI:
-
Biomedical Informatics
- EC:
-
European Commission
- HIS:
-
Hospital Information Systems
- IMIA:
-
International Medical Informatics Association
- MI:
-
Medical Informatics
- NCI:
-
National Cancer Institute
- NIH:
-
National Institutes of Health
- NIOSH:
-
National Institute for Occupational Safety and Health
- NPO:
-
NanoParticle Ontology
- NSF:
-
National Science Foundation
- NT:
-
Nanomedicine Taxonomy
- ONAMI:
-
Oregon Nanoscience and Microtechnologies Institute
- PMID:
-
PubMed Identifier
- QM/MM:
-
Quantum Mechanics and Molecular Mechanics
- TM:
-
Text Mining
- UMLS:
-
Unified Medical Language System
References
Aerts S, Haeussler M, van Vooren S, Griffith OL, Hulpiau P, Jones SJ, Montgomery SB, Bergman CM; Open Regulatory Annotation Consortium (2008). Text-mining assisted regulatory annotation. Genome Biol, 9(2): R31.
Alonso-Calvo R, Maojo V, Billhardt H, Martin-Sanchez F, García-Remesal M, Pérez-Rey D. An agent- and ontology-based system for integrating public gene, protein, and disease databases. J Biomed Inform. 2007 Feb;40(1):17–29.
Altman RB. Bioinformatics in support of molecular medicine (1998). Proc AMIA Symp. 1998:53–61.
Anguita A, Martín L, Crespo J, Tsiknakis M (2008). An ontology-based method to solve query identifier heterogeneity in post-genomic clinical trials. Stud Health Technol Inform 136:3–8.
Archakov AI, Ivanov YD (2007). Analytical nanobiotechnology for medicine diagnostics. Molecular Biosystems 3, 336–342.
Aronson AR (2001). Effective mapping of biomedical text to the UMLS Metathesaurus: the metamap program. Proc AMIA Symp 2001, 17–21.
Baker NA, Fritts M, Guccione S, Paik DS, Pappu RV, Patri A, Rubin D, Shaw SY, Thomas DG. Nanotechnology Informatics White Paper. caBIG, National Cancer Institute. February 2009. Non-peer Reviewed Manuscript.
Chamundeeswari M, Liji Sobhana SS, Jacob JP, Kumar MG, Devi MP, Sastry TP, Mandal AB (2009). Preparation, characterization and evaluation of biopolymeric gold nanocomposite with antimicrobial activity. Biotechnol Appl Biochem. 2009 Nov 20. [Epub ahead of print].
Chang JT, Schütze H, Altman RB (2004). GAPSCORE: finding gene and protein names one word at a time. Bioinformatics, 20(2):216–25.
De la Calle G, García-Remesal M, Chiesa S, De la Iglesia D, Maojo V (2009). BIRI: a new approach for automatically discovering and indexing available public bioinformatics resources from the literature. BMC Bioinformatics, 10: 320.
De la Iglesia D, Maojo V, Chiesa S, Martin-Sanchez F, Kern J, Potamias G, Crespo J, García-Remesal M, Keuchkerian S, Kulikowski C, Mitchell JA (2011). International efforts in nanoinformatics research applied to nanomedicine. Methods Inf Med. 50(1):84–95.
Fritts, M. Personal Communication. 2009.
García-Remesal M, Maojo V, Crespo J, Billhardt H (2007). Logical schema acquisition from text-based sources for structured and non-structured biomedical sources integration. Proc AMIA Symp 2007, 259–263.
García-Remesal M, Cuevas A, López-Alonso V, López-Campos G, de la Calle G, de la Iglesia D, Pérez-Rey D, Crespo J, Maojo V (2010a). A method for automatically extracting infectious disease-related primers and probes from the literature.BMC Bioinformatics, 11:410
García-Remesal M, Maojo V, Billhardt H, Crespo J (2010b). Integration of relational and textual biomedical sources.A pilot experiment using a semi-automated method for logical schema acquisition. Methods Inf Med, 49(4): 337–348
García-Remesal M, Cuevas A, Pérez-Rey D, Martín L, Anguita A, de la Iglesia D, de la Calle G, Crespo J, Maojo V (2010c). PubDNA Finder: a web database linking full-text articles to sequences of nucleic acids. Bioinformatics 2010; doi: 10.1093/bioinformatics/btq520 (epub ahead of print).
Garten Y, Altman RB (2009). Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text. BMC Bioinformatics 10 Suppl 2.
Gordon N, Sagman U (2003). Nanomedicine Taxonomy. Canadian Institute of Health Research & Canadian NanoBusiness Alliance.
Jain KK. The Handbook of Nanomedicine. 1st ed. Totowa, New Jersey: Humana; 2008.
Khurana E, Nielsen SO, Ensing B. Klein ML. (2006). Self-assembling cyclic peptides: molecular dynamics studies of dimers in polar and nonpolar solvents. J Phys Chem B 110, 18965–18972
Kulikowski CA, Kulikowski CW. Biomedical and health informatics in translational medicine. Methods Inf Med. 2009;48(1):4–10.
Lussier YA, Borlawski T, Rappaport D, Liu Y and Friedman C (2006). PhenoGO: assigning phenotypic context to Gene Ontology annotations with natural language processing. Pac Symp Bio, pp 64–75.
Mantas J, Ammenwerth E, Demiris G, Hasman A, Haux R, Hersh W, Hovenga E, Lun KC, Marin H, Martin-Sanchez F, Wright G; IMIA Recommendations on Education Task Force. Recommendations of the International Medical Informatics Association(IMIA) on Education in Biomedical and Health Informatics. First Revision. Methods Inf Med. 2010 Jan 7;49(2):105–120.
Maojo V, Kulikowski CA (2003). Bioinformatics and medical informatics: collaborations on the road to genomic medicine? Journal of the American Medical Informatics Association Nov-Dec 2003;10(6):515–22.
Maojo V, Martin-Sanchez F, Kulikowski C, Rodriguez-Paton A, Fritts M (2010). Nanoinformatics and DNA-based computing: catalyzing nanomedicine. Pediatr Res. 2010 May;67(5):481–9.
McCusker JP, Phillips JA, Beltrán AG, Finkelstein A, Krauthammer M. (2009). Semantic web data warehousing for caGrid. BMC Bioinformatics 10 Suppl 10:S2
Meystre SM, Savova GK, Kipper-Schuler KC, Hurdle JF (2008). Extracting Information from Textual Documents in the Electronic Health Record: a Review of Recent Research.Yearb Med Inform. 2008, 128–44.
Mika S, Rost B (2004).NLProt: extracting protein names and sequences from papers. Nucleic Acids Res, 32(suppl 2): W364-W367
Rindflesch TC, Fiszman M (2003). The interaction of do- main knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. J Biomed Inform, 36:462–477.
Rosse C, Mejino JVL (2003). A reference ontology for biomedical informatics: the Foundational Model of Anatomy. J Biomed Inform. 36:478–500.
Settles B (2005). ABNER: an open source tool for automatically tagging genes, proteins, and other entity names in text. Bioinformatics, 21(14):3191–3192.
Smith B, Ashburner M, Rosse C, Bard J, Bug W, Ceusters W, Goldberg LJ, Eilbeck K, Ireland A, Mungall CJ, OBI Consortium, Leontis N, Rocca-Serra P, Ruttenberg A, Sansone SA, Scheuermann RH, Shah N, Whetzel PL, Lewis S (2007). The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nat Biotechnol 25:1251–1255
Tanabe L, Xie N, Thom LH, Matten W, Wilbur WJ (2005). GENETAG: a tagged corpus for gene/protein named entity recognition. BMC Bioinformatics, 6(Suppl 1): S3.
Thomas V, Yallapu MM, Sreedhar B, Bajpai SK (2009). Fabrication, characterization of chitosan/nanosilver film and its potential antibacterial application. J Biomater Sci Polym Ed.20(14):2129–2144.
Thomas DG, Pappu RV, Baker NA (2010). NanoParticle Ontology for cancer nanotechnology research. J Biomed Inform. 2010 Mar 6. doi:10.1016/j.jbi.2010.03. 001 DOI:dx.doi.org [Epub preprint]
Torii M, Hu Z, Wu CH, Liu H (2009). BioTagger-GM: A gene/protein name recognition system. J Am Med Inform Assn, 16(2):247–255.
Wren JD, Hildebrand WH, Chandrasekaran S, Melcher U (2005). Markov model recognition and classification of DNA/protein sequences within large text databases. Bioinformatics 21(21): 4046–4053.
Acknowledgments
The present work has been funded, in part, by the ACTION-Grid support action (FP7-ICT-2007-2-224176), the Spanish Ministry of Science and Innovation (FIS/AES PS09/00069 and COMBIOMED-RETICS), the Ibero-NBIC network (CYTED 209RT0366), the European Commission through the ACGT integrated project (FP6-2005-IST-026996), and the Comunidad de Madrid, Spain.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Maojo, V. et al. (2011). Nanoinformatics: Developing Advanced Informatics Applications for Nanomedicine. In: Prokop, A. (eds) Intracellular Delivery. Fundamental Biomedical Technologies, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1248-5_26
Download citation
DOI: https://doi.org/10.1007/978-94-007-1248-5_26
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-1247-8
Online ISBN: 978-94-007-1248-5
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)