کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10450006 | 918343 | 2014 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The pain interactome: Connecting pain-specific protein interactions
ترجمه فارسی عنوان
تعامل درد: اتصال متقابل پروتئین های خاص درد
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کلمات کلیدی
شبکه های، پروتئین تعاملات پروتئین، بیان ژن، درد عصبی، درد التهابی، استخراج متن،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب سلولی و مولکولی
چکیده انگلیسی
Understanding the molecular mechanisms associated with disease is a central goal of modern medical research. As such, many thousands of experiments have been published that detail individual molecular events that contribute to a disease. Here we use a semi-automated text mining approach to accurately and exhaustively curate the primary literature for chronic pain states. In so doing, we create a comprehensive network of 1,002 contextualized protein-protein interactions (PPIs) specifically associated with pain. The PPIs form a highly interconnected and coherent structure, and the resulting network provides an alternative to those derived from connecting genes associated with pain using interactions that have not been shown to occur in a painful state. We exploit the contextual data associated with our interactions to analyse subnetworks specific to inflammatory and neuropathic pain, and to various anatomical regions. Here, we identify potential targets for further study and several drug-repurposing opportunities. Finally, the network provides a framework for the interpretation of new data within the field of pain.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: PAIN® - Volume 155, Issue 11, November 2014, Pages 2243-2252
Journal: PAIN® - Volume 155, Issue 11, November 2014, Pages 2243-2252
نویسندگان
Daniel G. Jamieson, Andrew Moss, Michael Kennedy, Sherrie Jones, Goran Nenadic, David L. Robertson, Ben Sidders,