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Basics
| Name | Ahmad Abu Turab Naqvi |
| Label | Scientist |
| Url | https://abuturabnaqvi.github.io/ |
| Summary | A bioinformatician, computational biologist, data scientist and poet. |
Work
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Sep 2016 - Aug 2019 DST SERB Senior Research Fellow
CIRBSc, JMI, New Delhi
As Bioinformatician, I contributed to the in-silico part of the project which dealt with screening and filtering of potential compounds as inhibitors of MARK4 kinase activity. I performed molecular docking and molecular dynamics simulations to design inhibitors against MARK4. I efficiently used chemoinformatics techniques to screen compounds and performed docking (AutoDock Suit) and MD simulations (GROMACS).
- Structural Bioinformatics
Volunteer
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Jul 2014 - Sep 2016 New Delhi, India
Project Assistant
Jamia Millia Islamia
Structural and Functional Assignment to Hypothetical Proteins from Common Indian Pathogens.
- Functional and Comparative Genomics
Education
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Jul 2012 - Jun 2014 New Delhi, India
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Aug 2018 - Oct 2023 New Delhi, India
Certificates
| Diploma in French | ||
| D/O Foreign Languages, JMI | 2016-07-01 |
| Certificate of Proficiency in French | ||
| D/O Foreign Languages, JMI | 2015-07-01 |
| CCC Certification in Computational Skills | ||
| NIELIT, Chandigarh | 2012-01-01 |
Publications
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2023.01.01 Pan-cancer analysis of Chromobox (CBX) genes for prognostic significance and cancer classification
Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease
Identified high expression of Chromobox genes- CBX2, CBX6, and CBX7 in Cholangiocarcinoma through differential expression analysis and reported CBX2 association with breast cancer via activation of the PI3K/AKT pathway and hepatocellular carcinoma via phosphorylation of YAP protein.
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2022.02.04 How Machine Learning Has Revolutionized the Field of Cancer Informatics?
Springer Nature Singapore
This chapter aims to give the reader a sense of how machine learning has revolutionized cancer research by making mindful use of enormous cancer data being produced all over the globe.
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2020.10.01 Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach
Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease
The present study highlights the genomic, proteomic, pathogenesis, and therapeutic strategies in SARS-CoV-2 infection. We have carried out sequence analysis of potential drug target proteins in SARS-CoV-2 and, compared them with SARS-CoV and MERS viruses.
Skills
| Bioinformatics | |
| Differential Gene Expression Analysis | |
| NGS data analysis | |
| Molecular Docking | |
| Molecular Dynamics Simulation | |
| Nextflow | |
| R, Python, Shell |
Languages
| Hindi | |
| Native speaker |
| English | |
| Fluent |
References
| Professor SAM Rizvi | |
| Department of Computer Science, Jamia Millia Islamia, New Delhi |
| Professor Md. Imtaiyaz Hassan | |
| Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi |