TY - GEN
T1 - Modeling of nano-bio interfaces based on atomic scale simulations
AU - Kato, Koichiro
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/4/16
Y1 - 2018/4/16
N2 - In recent years, great interest has been paid to nano-biotechnology. Various researches such as design of next generation devices and safer implants have been actively carried out. In this field, it is important to understand interactions between biomolecules and solid surfaces. To understand the interactions, experimental observation and analytical method are mainly used, and there are not many studies using theoretical and computational methods. From the viewpoint of complementing the experimental results, computational simulations that can quantitatively analyze microscopic information such as atomic arrangement and interaction such as electrostatic attraction or hydrogen bonding should be also useful. The most widely used computational method is molecular dynamics (MD) with classical force field (FF). By using MD, it is possible to perform statistical analysis incorporating the dynamic fluctuation of the target. On the other hand, quantum mechanical (QM) calculations with higher accuracy than the classical FF is also being applied. However, applicable methods and systems are limited because of its high computational cost.
AB - In recent years, great interest has been paid to nano-biotechnology. Various researches such as design of next generation devices and safer implants have been actively carried out. In this field, it is important to understand interactions between biomolecules and solid surfaces. To understand the interactions, experimental observation and analytical method are mainly used, and there are not many studies using theoretical and computational methods. From the viewpoint of complementing the experimental results, computational simulations that can quantitatively analyze microscopic information such as atomic arrangement and interaction such as electrostatic attraction or hydrogen bonding should be also useful. The most widely used computational method is molecular dynamics (MD) with classical force field (FF). By using MD, it is possible to perform statistical analysis incorporating the dynamic fluctuation of the target. On the other hand, quantum mechanical (QM) calculations with higher accuracy than the classical FF is also being applied. However, applicable methods and systems are limited because of its high computational cost.
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U2 - 10.1109/ICIEV.2017.8338520
DO - 10.1109/ICIEV.2017.8338520
M3 - Conference contribution
AN - SCOPUS:85050926021
T3 - 2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
SP - 1
BT - 2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
Y2 - 1 September 2017 through 3 September 2017
ER -