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Authors: Eleonora Alfinito ; Rosella Cataldo and Lino Reggiani

Affiliation: Salento University, Italy

ISBN: 978-989-758-244-8

Keyword(s): Networks, Proteotronics, Aptamers, Aptasensors.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Biomedical Signal Processing

Abstract: The increasing interest in the production and selection of aptamers for therapeutic and diagnostic applications yields many studies in recent years. Most of them investigated the production techniques, usually performed in vitro, but also the possibility of an in silico selection. Due to their specific ability of target-inhibition, some aptamers are under clinical trials, and some other were just patented by several pharmaceutical companies. However, the mechanism of aptamer-ligand formation is not completely understood. In this paper we explore the possibility to describe some topological and electrical features of the aptamer TBA alone and complexed with thrombin, its specific ligand, by using a network consisting of two different networks. The results are quite intriguing, confirming some conjectures about the different role of two cations, i.e. Na+ and K+, in stabilizing the compound. Furthermore, this study suggests the use of resistance measurements to discriminate among differe nt affinities. (More)

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Paper citation in several formats:
Alfinito E., Cataldo R. and Reggiani L. (2017). A Network of Networks to Reproduce the Electrical Features of an Aptamer-ligand Complex - What an Electrical Network Tells about Affinity.In Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-244-8, pages 62-69. DOI: 10.5220/0006361000620069

@conference{complexis17,
author={Eleonora Alfinito and Rosella Cataldo and Lino Reggiani},
title={A Network of Networks to Reproduce the Electrical Features of an Aptamer-ligand Complex - What an Electrical Network Tells about Affinity},
booktitle={Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2017},
pages={62-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006361000620069},
isbn={978-989-758-244-8},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - A Network of Networks to Reproduce the Electrical Features of an Aptamer-ligand Complex - What an Electrical Network Tells about Affinity
SN - 978-989-758-244-8
AU - Alfinito E.
AU - Cataldo R.
AU - Reggiani L.
PY - 2017
SP - 62
EP - 69
DO - 10.5220/0006361000620069

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