Author

Mallika Iyer

Sanford Burnham Prebys Medical Discovery InstituteORCID 0000-0003-0474-0594Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Organism:virus· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Adam GodzikiD· 3 shared Lukasz Jaroszewski· 3 shared Mayya SedovaiD· 3 shared Zhanwen LiiD· 2 shared Eduard Porta‐PardoiD· 1 shared Kai W. PostiD· 1 shared Thomas Hrabe· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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3 shared papersBioinformatics

Adam GodzikORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 27, 2022

Monitoring for SARS-CoV-2 drug resistance mutations in broad viral populations

Mayya Sedova, Lukasz Jaroszewski, Mallika Iyer, Adam Godzik

The paper introduces a drug resistance tracker to monitor and predict the emergence of mutations in SARS-CoV-2 that confer resistance to antiviral drugs targeting Mpro and PLpro.

11 citations

virusexperimental assay

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedMar 12, 2020

Difference contact maps: from what to why in the analysis of the conformational flexibility of proteins

Mallika Iyer, Zhanwen Li, Lukasz Jaroszewski…·Adam Godzik

The paper introduces difference contact maps (DCMs) to analyze conformational flexibility in proteins by identifying critical interactions and functional residues across alternative conformations.

23 citations

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedNov 7, 2018

Cancer3D 2.0: interactive analysis of 3D patterns of cancer mutations in cancer subsets

Mayya Sedova, Mallika Iyer, Zhanwen Li…·Adam Godzik

Cancer3D 2.0 provides an interactive platform to analyze 3D mutation patterns in cancer subsets, enabling identification of novel driver regions in specific patient subgroups.

11 citations

humanwhole-exome sequencing

𝕏 PostBluesky