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What is Nanoinformatics?
Nanoinformatics is the intersection of informatics and nanotechnology. This interdisciplinary topic investigates approaches and online tools for better comprehending nanomaterials, their properties, and their relationships with biological organisms.
Image Credit: metamorworks/Shutterstock.com
Nanoinformatics is required for the intelligent development and comparative characterization of nanomaterials via detector and manufacturing techniques. Nanoinformatics increases scientific discovery and learning by using data mining and machine learning.
Background of NanoinformaticsContrary to normal chemicals, nanomaterials have additional physical characteristics that must be measured to fully describe their chemical structure and content. Also, nanoparticles formulations are often non-uniform, requiring property distributions to be described. These molecular qualities impact their macro biochemical, physiological, and ecological aspects.
They are vital in both the scientific and computational characterization of nanoparticles. As a result, nanoinformatics is a field that combines information on health, security, well-being, and efficiency with risk management and developing nanotechnology.
See software for Metrology, Mapping & NanoanalysisHistory of NanoinformaticsRelated Stories
The terminology "nanoinformatics" was coined in 2010 by a research group of scientists named Nanoinformatics 2010.
The committee was compelled to evaluate the interdisciplinary character of this area of research as well as the continual growth of its definition to reflect the creation of new technologies, tools, and techniques. The 2015 Nanoinformatics Seminar supported the "Nanoinformatics Road Map 2020" as the most comprehensive approach.
Applications of NanoinformaticsIn fundamental research, commerce, and environmental health, nanoinformatics can rapidly evaluate vast volumes of data. Nanoinformatics is used to identify and treat cancer, health and environmental issues, and investigate nanoparticle-drug structures.
It plays an important role in researching, designing, and manufacturing nanoparticles. It may also be used to record and analyze experimental test outcomes from nanoparticle administration to various environmental and physical targets and situations.
Nanoinformatics in NanomedicineNanotechnologists started researching nanomaterials for medicine over a decade ago, with this investigation highlighting several obstacles and possibilities. Some of these obstacles are directly connected to informatics, such as managing and integrating heterogeneous data, developing nomenclatures, ontologies, and taxonomies for diverse nanomaterials, and researching novel nanoparticle modeling and simulation methodologies.
Challenges in the Field of NanoinformaticsComputational chemistry, artificial intelligence and machine learning can link structural attributes to functional aspects of nanomaterials. However, this is not an easy task.
Machine learning was designed for massive data sets with few consistent characteristics. Typically, nanomaterials data sets are limited, have computational complexity, and have many biases.
Impact of NanoinformaticsThe quantity of data on nanoparticle toxicity is growing, implying that a variety of features may interact and affect the extent, behavior, and environmental and health impact of adverse consequences - as well as the efficacy of existing therapies.
The type, volume, and technique of delivery of nanoparticles may have diverse impacts on applications, according to preliminary findings from in vitro investigations.
Nanoinformatics, or the study of the processes and consequences of nanoscale materials, is the most pressing issue confronting nano-medical technology today. This necessitates the management of this data and its connection to individual patient data.
Continue reading: Advancing Nano-Imaging Using 2D Materials
References and Further ReadingPanneerselvam, S. and Choi, S., (2014) Nanoinformatics: Emerging Databases and Available Tools. International Journal of Molecular Sciences, 15(5), pp.7158-7182. https://www.mdpi.com/1422-0067/15/5/7158
Afantitis, A., Melagraki, G., Isigonis, P., Tsoumanis, A., Varsou, D. D., Valsami-Jones, E. & Lynch, I. (2020) NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment. Computational and structural biotechnology journal, 18, 583-602. https://www.sciencedirect.com/science/article/pii/S2001037019305112?via%3Dihub
Kulikowski, C. A. (2002). The micro-macro spectrum of medical informatics challenges: from molecular medicine to transforming health care in a globalizing society. Methods of information in medicine, 41(01), 20-24. DOI: https://www.thieme-connect.de/products/ejournals/abstract/10.1055/s-0038-1634308
De la Iglesia, D., Harper, S., Hoover, M. D., Klaessig, F., Lippell, P., Maddux, B. & Tuominen, M. T. (2011). Nanoinformatics 2020 roadmap. https://zenodo.org/record/1486012
Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.
Written by
Usman AhmedUsman holds a master's degree in Material Science and Engineering from Xian Jiaotong University, China. He worked on various research projects involving Aerospace Materials, Nanocomposite coatings, Solar Cells, and Nano-technology during his studies. He has been working as a freelance Material Engineering consultant since graduating. He has also published high-quality research papers in international journals with a high impact factor. He enjoys reading books, watching movies, and playing football in his spare time.
Image Credit: metamorworks/Shutterstock.com
Nanoinformatics is required for the intelligent development and comparative characterization of nanomaterials via detector and manufacturing techniques. Nanoinformatics increases scientific discovery and learning by using data mining and machine learning.
Background of NanoinformaticsContrary to normal chemicals, nanomaterials have additional physical characteristics that must be measured to fully describe their chemical structure and content. Also, nanoparticles formulations are often non-uniform, requiring property distributions to be described. These molecular qualities impact their macro biochemical, physiological, and ecological aspects.
They are vital in both the scientific and computational characterization of nanoparticles. As a result, nanoinformatics is a field that combines information on health, security, well-being, and efficiency with risk management and developing nanotechnology.
See software for Metrology, Mapping & NanoanalysisHistory of NanoinformaticsRelated Stories
- Researchers Begin to Design Framework for Emerging Field of Nanoinformatics
- Reflections on 2004 Report into Nanotechnology - What Was its Impact and What is its Legacy
- What is Nanotechnology, What are the Nanoscale Dimensions and What are ‘Quantum Effects’?
The terminology "nanoinformatics" was coined in 2010 by a research group of scientists named Nanoinformatics 2010.
The committee was compelled to evaluate the interdisciplinary character of this area of research as well as the continual growth of its definition to reflect the creation of new technologies, tools, and techniques. The 2015 Nanoinformatics Seminar supported the "Nanoinformatics Road Map 2020" as the most comprehensive approach.
Applications of NanoinformaticsIn fundamental research, commerce, and environmental health, nanoinformatics can rapidly evaluate vast volumes of data. Nanoinformatics is used to identify and treat cancer, health and environmental issues, and investigate nanoparticle-drug structures.
It plays an important role in researching, designing, and manufacturing nanoparticles. It may also be used to record and analyze experimental test outcomes from nanoparticle administration to various environmental and physical targets and situations.
Nanoinformatics in NanomedicineNanotechnologists started researching nanomaterials for medicine over a decade ago, with this investigation highlighting several obstacles and possibilities. Some of these obstacles are directly connected to informatics, such as managing and integrating heterogeneous data, developing nomenclatures, ontologies, and taxonomies for diverse nanomaterials, and researching novel nanoparticle modeling and simulation methodologies.
Challenges in the Field of NanoinformaticsComputational chemistry, artificial intelligence and machine learning can link structural attributes to functional aspects of nanomaterials. However, this is not an easy task.
Machine learning was designed for massive data sets with few consistent characteristics. Typically, nanomaterials data sets are limited, have computational complexity, and have many biases.
Impact of NanoinformaticsThe quantity of data on nanoparticle toxicity is growing, implying that a variety of features may interact and affect the extent, behavior, and environmental and health impact of adverse consequences - as well as the efficacy of existing therapies.
The type, volume, and technique of delivery of nanoparticles may have diverse impacts on applications, according to preliminary findings from in vitro investigations.
Nanoinformatics, or the study of the processes and consequences of nanoscale materials, is the most pressing issue confronting nano-medical technology today. This necessitates the management of this data and its connection to individual patient data.
Continue reading: Advancing Nano-Imaging Using 2D Materials
References and Further ReadingPanneerselvam, S. and Choi, S., (2014) Nanoinformatics: Emerging Databases and Available Tools. International Journal of Molecular Sciences, 15(5), pp.7158-7182. https://www.mdpi.com/1422-0067/15/5/7158
Afantitis, A., Melagraki, G., Isigonis, P., Tsoumanis, A., Varsou, D. D., Valsami-Jones, E. & Lynch, I. (2020) NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment. Computational and structural biotechnology journal, 18, 583-602. https://www.sciencedirect.com/science/article/pii/S2001037019305112?via%3Dihub
Kulikowski, C. A. (2002). The micro-macro spectrum of medical informatics challenges: from molecular medicine to transforming health care in a globalizing society. Methods of information in medicine, 41(01), 20-24. DOI: https://www.thieme-connect.de/products/ejournals/abstract/10.1055/s-0038-1634308
De la Iglesia, D., Harper, S., Hoover, M. D., Klaessig, F., Lippell, P., Maddux, B. & Tuominen, M. T. (2011). Nanoinformatics 2020 roadmap. https://zenodo.org/record/1486012
Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.
Written by
Usman AhmedUsman holds a master's degree in Material Science and Engineering from Xian Jiaotong University, China. He worked on various research projects involving Aerospace Materials, Nanocomposite coatings, Solar Cells, and Nano-technology during his studies. He has been working as a freelance Material Engineering consultant since graduating. He has also published high-quality research papers in international journals with a high impact factor. He enjoys reading books, watching movies, and playing football in his spare time.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870292.
