Giorgio Bonmassar, Leonardo M Angelone, Nikos Makris
This paper presents a virtual model of patients with Deep Brain Stimulation implants. The model is based on Human Connectome and 7 Tesla Magnetic Resonance Imaging (MRI) data. We envision that the proposed virtual patient simulator will enable radio frequency power dosimetry on patients with deep brain stimulation implants undergoing MRI. Results from the proposed virtual patient study may facilitate the use of clinical MRI instead of computed tomography scans. The virtual patient will be flexible and morphable to relate to patient-specific neurological and psychiatric conditions such as Obsessive Compulsive Disorder, which benefit from deep brain stimulation.
{"title":"A Virtual Patient Simulator Based on Human Connectome and 7 T MRI for Deep Brain Stimulation.","authors":"Giorgio Bonmassar, Leonardo M Angelone, Nikos Makris","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This paper presents a virtual model of patients with Deep Brain Stimulation implants. The model is based on Human Connectome and 7 Tesla Magnetic Resonance Imaging (MRI) data. We envision that the proposed virtual patient simulator will enable radio frequency power dosimetry on patients with deep brain stimulation implants undergoing MRI. Results from the proposed virtual patient study may facilitate the use of clinical MRI instead of computed tomography scans. The virtual patient will be flexible and morphable to relate to patient-specific neurological and psychiatric conditions such as Obsessive Compulsive Disorder, which benefit from deep brain stimulation.</p>","PeriodicalId":90872,"journal":{"name":"International journal on advances in life sciences","volume":"6 3-4","pages":"364-372"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334388/pdf/nihms657596.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33075789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emerging antibiotic resistant bacteria and their abilities for rapid evolution have pushed the need to explore alternative antibiotics less prone to drug resistance. In this study, we employed methicillin/multidrug-resistant Staphylococcus aureus (MRSA) as a model bacterial system to initiate novel antibiotic development. An in silico identification of drug targets in MRSA 252 strain and MRSA Mu50 strain respectively was described. The identified potential targets were classified according to their known or putative functions. We discovered that a class of essential non-human homologous, central metabolic enzymes falls into the scope of potential drug targets for two reasons: 1) the identified targets either do not have human counterparts or use alternative catalytic mechanisms. Based on major differences in active site structure and catalytic mechanism, an inhibitor of such a bacterial enzyme can be designed which will not inhibit its human cousin. 2) attacking bacterial energy-making machinery bypasses the usual drug resistance sites, paving the road to multi-faceted approaches to combat antibiotic resistance.
{"title":"Potential Antibacterial Targets in Bacterial Central Metabolism.","authors":"Nichole Louise Haag, Kimberly Kay Velk, Chun Wu","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The emerging antibiotic resistant bacteria and their abilities for rapid evolution have pushed the need to explore alternative antibiotics less prone to drug resistance. In this study, we employed methicillin/multidrug-resistant <i>Staphylococcus aureus</i> (MRSA) as a model bacterial system to initiate novel antibiotic development. An <i>in silico</i> identification of drug targets in <i>MRSA</i> 252 strain and <i>MRSA</i> Mu50 strain respectively was described. The identified potential targets were classified according to their known or putative functions. We discovered that a class of essential non-human homologous, central metabolic enzymes falls into the scope of potential drug targets for two reasons: 1) the identified targets either do not have human counterparts or use alternative catalytic mechanisms. Based on major differences in active site structure and catalytic mechanism, an inhibitor of such a bacterial enzyme can be designed which will not inhibit its human cousin. 2) attacking bacterial energy-making machinery bypasses the usual drug resistance sites, paving the road to multi-faceted approaches to combat antibiotic resistance.</p>","PeriodicalId":90872,"journal":{"name":"International journal on advances in life sciences","volume":"4 1-2","pages":"21-32"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3800682/pdf/nihms-474178.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40260749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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