کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2089850 | 1545932 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Proteome mining for drug target identification in Listeria monocytogenes strain EGD-e and structure-based virtual screening of a candidate drug target penicillin binding protein 4
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موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوتکنولوژی یا زیستفناوری
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چکیده انگلیسی
• In-silico approach was used to identify drug targets of Listeria monocytogenes strain EGDe.
• 168 putative targets were identified; of these, 30 were predicted as broad spectrum.
• For target PBP4, virtual screening and ADMET filtering identified 10 lead compounds.
• Reverse docking against 113 known bacterial targets identified 4 multi-target leads.
We used a combination of in-silico approaches to identify 168 promising drug targets in the proteome of a multidrug-resistant Listeria monocytogenes strain; of these, one (PBP4) was particularly promising. Virtual screening using it, followed by reverse docking, revealed four compounds namely NCI524121, CAP332797, NCI524136 and ZINC00518462 as good multi-target leads.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Microbiological Methods - Volume 111, April 2015, Pages 9–18
Journal: Journal of Microbiological Methods - Volume 111, April 2015, Pages 9–18
نویسندگان
Aditya Narayan Sarangi, Mohtasim Lohani, Rakesh Aggarwal,