Author

S. Fazal

Capital University of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Organism:non-human primate· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

I. Altaf· 2 shared M. A. Ali· 2 shared M. Nawaz· 2 shared N. Mukhtar· 2 shared N. Sardar· 2 shared S. Rafique· 2 shared S. Raza· 2 shared T. Yaqub· 2 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersMicrobiology

I. Altaf

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An assessment of efficacy of Iodine complex (Renessans) against SARS-CoV-2 in non-human primates (Rhesus macaque)

M. Nawaz, M. A. Ali, M. A. Ashraf, M. Z. Shabbir, M. A. B. Shabbir, I. Altaf, S. Raza, S. Rafique, S. Hassan, N. Sardar, A. Mehmood, M. W. Aziz, S. Fazal, M. T. Khan, M. M. Atique, , T. Yaqub

This study evaluates the efficacy of Renessans, an iodine complex, against SARS-CoV-2 in Rhesus macaques, showing reduced viral load and faster clearance in treated groups.

bioRxiv · Nov 17, 2020 · PreprintMicrobiology

An in vitro assessment of anti-SARS-CoV-2 activity of oral preparations of iodine complexes (RENESSANS)

I. Altaf, M. F. Nadeem, N. Hussain, M. Nawaz, S. Raza, M. A. Ali, S. Hasan, N. Matti, M. Ashraf, I. Ullah, W. Aziz, S. Fazal, S. Rafique, M. Adnan, N. Sardar, , T. Yaqub

This study assesses the in vitro anti-SARS-CoV-2 activity of iodine complex oral formulations, finding that higher concentrations show significant inhibition of viral replication and cytopathic effects.

bioRxiv · Jun 29, 2020 · PreprintMicrobiology

Computational Analysis of Dynamical Fluctuations of Oncoprotein E7 (HPV) for the Hot Spot Residue Identification Using Elastic Network Model

Rabbiah Manzoor Malik, F. Nazir, S. Fazal, A. Bhatti, M. Ullah, S. I. Malik, A. Kanwal, S. E. Aziz, S. Azam

The paper uses an elastic network model to analyze dynamic fluctuations of HPV E7 protein and identifies hot spot residues in the LxCxE motif critical for its interaction with Rb, contributing to cervical cancer progression.

Letters in Drug Design & Discovery · Jun 6, 2020Peer-reviewedBioinformatics