Yvonne Ukamaka Ajamma - Infectious Diseases

Author Information

Yvonne Ukamaka Ajamma is a researcher affiliated with the Martin Lüscher Emerging Infectious Diseases (ML-EID) Laboratory at the International Centre of Insect Physiology and Ecology in Kasarani, Nairobi, Kenya. Her work is primarily focused on infectious diseases, with a particular interest in vector biology and bioinformatics. She has contributed significantly to the understanding of mosquito species diversity, malaria transmission, and pathogen detection.

Research Contributions

Yvonne Ukamaka Ajamma has made numerous contributions to the field of infectious diseases through her research on vector-borne diseases. Her work includes computational studies on drug targets in Plasmodium falciparum, high throughput identification of mosquito species, and the exploration of host dependency factors of pathogens using machine learning. She has also been involved in research on the genomics of plants in Africa and has contributed to the study of voltage-gated sodium channel genes in epilepsy. Her diverse research portfolio underscores her multidisciplinary approach, particularly in the application of bioinformatics to emerging infectious diseases.

Aliases

Yvonne Ajamma is also known by the aliases Yvonne U Ajamma and Yvonne Ukamaka Ajamma, which are used interchangeably in her publications.

Publication and Citation Metrics

Metric	Value
Citation Count	278
h-index	9
Paper Count	14

Publications:

Computational identification of Plasmodium falciparum RNA pseudouridylate synthase as a viable drug target, its physicochemical properties, 3D structure prediction and prediction of potential inhibitors.

DOI: 10.1016/j.meegid.2021.105194

Year: 2021

Voltage Gated Sodium Channel Genes in Epilepsy: Mutations, Functional Studies, and Treatment Dimensions

DOI: 10.3389/fneur.2021.600050

Year: 2021

Rapid and high throughput molecular identification of diverse mosquito species by high resolution melting analysis [version 1; peer review: 2 approved]

DOI:

Year: 2021

Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning

DOI: 10.1016/j.csbj.2021.08.010

Year: 2021

Plant Genomics in Africa: Present and prospects.

DOI: 10.1111/tpj.15272

Year: 2021

Anopheles metabolic proteins in malaria transmission, prevention and control: a review

DOI: 10.1186/s13071-020-04342-5

Year: 2020

Homology Modelling and Molecular Docking Studies of Selected Substituted Benzo[d]imidazol-1-yl)methyl)benzimidamide Scaffolds on Plasmodium falciparum Adenylosuccinate Lyase Receptor

DOI: 10.1177/1177932219865533

Year: 2019

First Nigerian Bioinformatics Conference (FNBC): Towards a dynamic bioinformatics community

DOI: 10.31219/osf.io/hbq5c

Year: 2019

Vertical transmission of naturally occurring Bunyamwera and insect-specific flavivirus infections in mosquitoes from islands and mainland shores of Lakes Victoria and Baringo in Kenya

DOI: 10.1371/journal.pntd.0006949

Year: 2018

Molecular Detection of Tick-Borne Pathogen Diversities in Ticks from Livestock and Reptiles along the Shores and Adjacent Islands of Lake Victoria and Lake Baringo, Kenya

DOI: 10.3389/fvets.2017.00073

Year: 2017

Why Are Drug Targets Important in Infectious Diseases?

What are the Challenges of Quarantine?

What Role Does the FDA Play in Diagnostic Testing?

How Can Personal Hygiene Help in Infection Prevention?

What is Flaviviridae?

How Does NAT Work?

What Factors Influence Airborne Transmission?

How is Lyme Disease Diagnosed?

What are the common viruses treated by DAAs?

What are Inhibitors and How Do They Work?

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