Author

Fredrick Mutie Musila

Technical University of KenyaORCID 0000-0002-6219-8150Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Approach:simulation· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Dickson B. KinyanyiiD· 1 shared Dorothy Wavinya NyamaiiD· 1 shared Grace Wairimu GitauiD· 1 shared Inyani John Lino LaguiD· 1 shared James Kuria· 1 shared James Munyao KingooiD· 1 shared Martin Ng’ang’a MuiganoiD· 1 shared Patrisio Njiru NjeruiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Dickson B. KinyanyiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologyBMC Complementary Medicine and TherapiesPeer-reviewedMar 14, 2026

Antiproliferative Activity, Phytochemistry, Network Pharmacology, Molecular Docking and Gene Expression Analysis of Maerua edulis Extracts against Human Cervical Cancer Cell Line

Inyani John Lino Lagu, Rakita Letoluo, Sally Wambui Kamau…·Sospeter Ngoci Njeru

This study evaluates the antiproliferative effects of Maerua edulis extracts on HeLa cells, identifies key phytochemicals, and shows their impact on gene expression related to apoptosis and cell cycle regulation.

3 citations

humanbulk RNA-seq

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MicrobiologybioRxivPreprintJul 28, 2025

Pangenome and comparative genomics analysis reveal patterns of quorum sensing and antimicrobial resistance in Salmonella Lineages from African Food Chains

Martin Ng’ang’a Muigano, Fredrick Mutie Musila, Z. Li

This study analyzes Salmonella genomes from African food chains to identify patterns of antimicrobial resistance and quorum sensing, revealing lineage-specific genes and geographic diversity.

DOI 10.1101/2025.07.28.667100

humanwhole-genome sequencing

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BioinformaticsJournal of Biomolecular Structure and DynamicsPeer-reviewedMay 19, 2025

Pharmacophore modeling, 2D-QSAR, Molecular Docking and ADME studies for the discovery of inhibitors of PBP2a in MRSA

Fredrick Mutie Musila, Grace Wairimu Gitau, Peris Wanza Amwayi…·Patrisio Njiru Njeru

The paper identifies potential inhibitors of PBP2a in MRSA using pharmacophore modeling, 2D-QSAR, docking, and MD simulations, highlighting two compounds with favorable ADME properties and binding potential.

1 citation

humanstatistical model

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