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فیلم دوره آموزشی هوش مصنوعی: SWOT و سیاست‌های ناشران بین‌المللی
ارتقاء رتبه نشریه علمی «شعرپژوهی» دانشگاه شیراز در ارزیابی سامانه رتبه‌بندی نشریات کشور
افتخارآفرینی دبیران مجلات علمی دانشگاه شیراز در عرصۀ بین‌المللی
اطلاعیه برگزاری دوره آموزشی هوش مصنوعی: SWOT و سیاست‌های ناشران بین‌المللی در تاریخ 19 خرداد 1404
ارتقاء رتبۀ مجلۀ علوم ایران از Q3 به Q2

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Goel, Prerna, Panchal, Tanya, Kaushik, Nandini, Chauhan, Ritika, Saini, Sandeep, Ahuja, Vartika, Thakur, Chander. (1401). In silico functional and structural characterization revealed virulent proteins of Francisella tularensis strain SCHU4. , 11(2), 73-84. doi: 10.22099/mbrc.2022.43128.1719
Prerna Goel; Tanya Panchal; Nandini Kaushik; Ritika Chauhan; Sandeep Saini; Vartika Ahuja; Chander Jyoti Thakur. "In silico functional and structural characterization revealed virulent proteins of Francisella tularensis strain SCHU4". , 11, 2, 1401, 73-84. doi: 10.22099/mbrc.2022.43128.1719
Goel, Prerna, Panchal, Tanya, Kaushik, Nandini, Chauhan, Ritika, Saini, Sandeep, Ahuja, Vartika, Thakur, Chander. (1401). 'In silico functional and structural characterization revealed virulent proteins of Francisella tularensis strain SCHU4', , 11(2), pp. 73-84. doi: 10.22099/mbrc.2022.43128.1719
Goel, Prerna, Panchal, Tanya, Kaushik, Nandini, Chauhan, Ritika, Saini, Sandeep, Ahuja, Vartika, Thakur, Chander. In silico functional and structural characterization revealed virulent proteins of Francisella tularensis strain SCHU4. , 1401; 11(2): 73-84. doi: 10.22099/mbrc.2022.43128.1719

In silico functional and structural characterization revealed virulent proteins of Francisella tularensis strain SCHU4

Molecular Biology Research Communications
دوره 11، شماره 2، 2022، صفحه 73-84    اصل مقاله (2.3 M)
نوع مقاله: Original article
شناسه دیجیتال (DOI): 10.22099/mbrc.2022.43128.1719
نویسندگان
Prerna Goel1؛ Tanya Panchal1؛ Nandini Kaushik1؛ Ritika Chauhan1؛ Sandeep Saini1، 2؛ Vartika Ahuja1؛ Chander Jyoti Thakur* 1
1Department of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, India
2Department of Biophysics, Panjab University, Sector 25, 160014, Chandigarh, India
چکیده
Francisella tularensis is a pathogenic, aerobic gram-negative coccobacillus bacterium. It is the causative agent of tularemia, a rare infectious disease that can attack skin, lungs, eyes, and lymph nodes. The genome of F. tularensis has been sequenced, and ~16% of the proteome is still uncharacterized. Characterizations of these proteins are essential to find new drug targets for better therapeutics. In silico characterization of proteins has become an extremely important approach to determine the functionality of proteins as experimental functional elucidation is unable to keep pace with the current growth of the sequence database. Initially, we have annotated 577 Hypothetical Proteins (HPs) of F. tularensis strain SCHU4 with seven bioinformatics tools which characterized them based on the family, domain and motif. Out of 577 HPs, 119 HPs were annotated by five or more tools and are further screened to predict their virulence properties, subcellular localization, transmembrane helices as well as physicochemical parameters. VirulentPred predicted 66 HPs out of 119 as virulent. These virulent proteins were annotated to find the interacting partner using STRING, and proteins with high confidence interaction scores were used to predict their 3D structures using Phyre2. The three virulent proteins Q5NH99 (phosphoserine phosphatase), Q5NG42 (Cystathionine beta-synthase) and Q5NG83 (Rrf2-type helix turn helix domain) were predicted to involve in modulation of cytoskeletal and innate immunity of host, H2S (hydrogen sulfide) based antibiotic tolerance and nitrite and iron metabolism of bacteria. The above predicted virulent proteins can serve as novel drug targets in the era of antibiotic resistance.
کلیدواژه‌ها
Domains؛ Drug target؛ Virulence factor؛ Annotation؛ Microbial resistance؛ Bioinformatics
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