Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy
In this paper, we propose a bioinformatics-based method, which introduces thermodynamic measures and topological characteristics aimed to identify potential drug targets for pharmaco-resistant epileptic patients. We apply the Gibbs homology analysis to the protein–protein interaction network charact...
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/17/8059 |
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doaj-4f46516202e149cba2376c6a8590c8db2021-09-09T13:39:12ZengMDPI AGApplied Sciences2076-34172021-08-01118059805910.3390/app11178059Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe EpilepsyChang Yu0Edward A. Rietman1Hava T. Siegelmann2Marco Cavaglia3Jack A. Tuszynski4Biology Department, University of Massachusetts, Amherst, MA 01003, USAThe Biologically Inspired Neural & Dynamical Systems (BINDS) Laboratory, Department of Computer Science, University of Massachusetts, Amherst, MA 01003, USAThe Biologically Inspired Neural & Dynamical Systems (BINDS) Laboratory, Department of Computer Science, University of Massachusetts, Amherst, MA 01003, USABiology Department, University of Massachusetts, Amherst, MA 01003, USADipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS), Politecnico di Torino, I-10129 Turin, ItalyIn this paper, we propose a bioinformatics-based method, which introduces thermodynamic measures and topological characteristics aimed to identify potential drug targets for pharmaco-resistant epileptic patients. We apply the Gibbs homology analysis to the protein–protein interaction network characteristic of temporal lobe epilepsy. With the identification of key proteins involved in the disease, particularly a number of ribosomal proteins, an assessment of their inhibitors is the next logical step. The results of our work offer a direction for future development of prospective therapeutic solutions for epilepsy patients, especially those who are not responding to the current standard of care.https://www.mdpi.com/2076-3417/11/17/8059epilepsysystems biologyprotein–protein interactionsCNSGibbs homologydrug targets |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Chang Yu Edward A. Rietman Hava T. Siegelmann Marco Cavaglia Jack A. Tuszynski |
| spellingShingle |
Chang Yu Edward A. Rietman Hava T. Siegelmann Marco Cavaglia Jack A. Tuszynski Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy Applied Sciences epilepsy systems biology protein–protein interactions CNS Gibbs homology drug targets |
| author_facet |
Chang Yu Edward A. Rietman Hava T. Siegelmann Marco Cavaglia Jack A. Tuszynski |
| author_sort |
Chang Yu |
| title |
Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy |
| title_short |
Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy |
| title_full |
Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy |
| title_fullStr |
Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy |
| title_full_unstemmed |
Application of Thermodynamics and Protein–Protein Interaction Network Topology for Discovery of Potential New Treatments for Temporal Lobe Epilepsy |
| title_sort |
application of thermodynamics and protein–protein interaction network topology for discovery of potential new treatments for temporal lobe epilepsy |
| publisher |
MDPI AG |
| series |
Applied Sciences |
| issn |
2076-3417 |
| publishDate |
2021-08-01 |
| description |
In this paper, we propose a bioinformatics-based method, which introduces thermodynamic measures and topological characteristics aimed to identify potential drug targets for pharmaco-resistant epileptic patients. We apply the Gibbs homology analysis to the protein–protein interaction network characteristic of temporal lobe epilepsy. With the identification of key proteins involved in the disease, particularly a number of ribosomal proteins, an assessment of their inhibitors is the next logical step. The results of our work offer a direction for future development of prospective therapeutic solutions for epilepsy patients, especially those who are not responding to the current standard of care. |
| topic |
epilepsy systems biology protein–protein interactions CNS Gibbs homology drug targets |
| url |
https://www.mdpi.com/2076-3417/11/17/8059 |
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