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DR. ABDUL ARIF KHAN

I am a microbiologist and researcher interested in studying the role of microbes in cancer biology. However, the research in the field of oncology arose with the hypothesis of microbial involvement in the cancer biology, but sadly these ideas were dropped off due to certain weird and over enthusiastic claims giving strong skepticism to this connection. Recent findings and studies are further exhuming this association and strong microbial involvement is coming out in each branch of cancer biology. 

In addition, I am also involved in interdisciplinary research involving computational approaches to study host-pathogen interactions in different diseases.  This website is intended to give an idea about my work, interest in academic research, and hobbies. This home page will give you links for various activities related to my academic research interest.  

Universal microflora signature in colorectal cancer identified 

(We suggested this in 2012)

22nd April 2019

Microflora also affect resistance to chemotherapy
28th Jul 2017

IN THE NEWS

Gut microbes could be the key to treat ulcerative colitis
08th Mar 2020 

MY LATEST RESEARCH

We have elaborated that modulation of TLR in cancer patients can make them susceptible to several infections in addition to contribution in carcinogenesis (Annals of Oncology - Impact factor 51.769)

Figure 2- Over expressed Prevotella.jpg

Recently, the lung microflora of COVID-2019 patients is found to have overrepresented Prevotella spp. overexpressing certain proteins. We performed host-pathogen interaction analysis and found that these proteins may be involved in supporting SARS-CoV-2 growth and inflammation through NF-kB. Therefore, management of COVID-2019 requires special attention to these organisms in addition to SARS-CoV-2 for increasing treatment outcomes. (Bioinformatics, Oxford University Press - Impact factor 6.931) 

Recently, we have analyzed interkingdom prediction accuracy of protein subcellular localization tools for detection of the bacterial protein as a query. The results indicate several parameters to be considered for correct prediction of such host pathogen interactions.(Briefings in Bioinformatics-  Impact factor 13.994)

BIB2020.png

We performed comparative host-pathogen interaction analysis of SARS, MERS, and SARS CoV-2 and identified host proteins common among all recent coronavirus outbreaks. In addition, we also screened known inhibitors of these common proteins in well-known databases for drug repurposing evaluation. (Briefings in Bioinformatics, Oxford University Press - Impact factor 13.994) 

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