Author

Afreenish Amir

Istituto Superiore di SanitàORCID 0000-0002-1802-1737Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 2 Assay:protein structure· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Aamer IkramiD· 3 shared Muhammad Haseeb· 2 shared Abraham AseffaiD· 1 shared Ali H. Abbas· 1 shared Andrew John PollardiD· 1 shared Andrew R. Greenhill· 1 shared Anthony M. Smith· 1 shared Antoine G. Abou FayadiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Aamer IkramORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Functional Characterization of Transcriptome-Wide Isoform Switching in Hürthle Cell Carcinoma (HCC)

Razmia Sabahat Butt, Afreenish Amir, Rehan Zafar Paracha

This study identifies 371 isoform switches in Hürthle cell carcinoma, revealing functional consequences like loss of protein domains and altered sub-cellular localization, with specific isoforms unique to tumors.

bioRxiv · Jul 27, 2026 · PreprintBioinformatics

The TyphiNET data visualisation dashboard: Unlocking Salmonella Typhi genomics data to support public health

Zoe A. Dyson, Louise Cerdeira, Vandana Sharma, Megan E. Carey, Kathryn E. Holt, David M. Aanensen, Ali H. Abbas, Antoine G. Abou Fayad, Ayorinde O. Afolayan, Niyaz Ahmed, Irshad Ahmed, Afreenish Amir, Saadia Andleeb, Silvia Argimón, Abraham Aseffa, , Jackie Wright

The paper introduces TyphiNET, a dashboard for exploring Typhi genomics data to support public health decisions on antimicrobial resistance and vaccine implementation.

Genome Medicine · May 9, 2025Peer-reviewedMicrobiology

Computational insights on the destabilizing mutations in the binding site of 3CL-protease SARS-CoV-2 Omicron (VOC)

Samee Ullah, Afreenish Amir, Aamer Ikram, Caterina Vicidomini, Rosanna Palumbo, Giovanni Nicola Roviello

This study computationally analyzes mutations in the 3CL-protease binding site of the SARS-CoV-2 Omicron variant, showing reduced drug effectiveness due to structural changes.

bioRxiv · May 24, 2023 · PreprintBioinformatics

In-silico Analysis of SARS-Cov2 Spike Proteins of Different Field Variants

Muhammad Haseeb, Afreenish Amir, Aamer Ikram

This study performs in silico analysis of SARS-CoV-2 spike proteins from different variants to identify structural and functional variations.

bioRxiv · Jan 22, 2023 · PreprintBioinformatics

Pangenome analysis of SARS-CoV2 strains to Identify Potential vaccine targets by Reverse Vaccinology

Muhammad Haseeb, Afreenish Amir, Hamza Irshad

This paper uses in silico reverse vaccinology to identify a multi-epitope subunit vaccine candidate against SARS-CoV2 with high antigenicity and population coverage.

bioRxiv · Jul 15, 2022 · PreprintBioinformatics