Presenter Information

Kashyap PatelFollow

Major

Bioinformatics

Anticipated Graduation Year

2021

Access Type

Open Access

Abstract

One of mankind’s greatest challenges is fighting a never ending war against pathogens. Antibiotics, a relatively new advancement, have proven successful for decades. My project aims to be able to predict a bacterial strains’ resistance/susceptibility to antibiotics through analyzing the presence/absence of genes. The algorithm I am developing will be tested against E. coli strains for which we have data about resistance. This model will then be applied to other strains and will pinpoint the gene(s) that are liable for resistance. The outcome of this project will be identifying genes that are responsible for antibiotic resistance/susceptibility.

Faculty Mentors & Instructors

Dr. Catherine Putonti, Director of Bioinformatics

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Identifying Gene Mutations For E. coli Antibiotic Resistance

One of mankind’s greatest challenges is fighting a never ending war against pathogens. Antibiotics, a relatively new advancement, have proven successful for decades. My project aims to be able to predict a bacterial strains’ resistance/susceptibility to antibiotics through analyzing the presence/absence of genes. The algorithm I am developing will be tested against E. coli strains for which we have data about resistance. This model will then be applied to other strains and will pinpoint the gene(s) that are liable for resistance. The outcome of this project will be identifying genes that are responsible for antibiotic resistance/susceptibility.