Development of Machine Learning Models and the Discovery of a New Antiviral Compound against Yellow Fever Virus.

ABSTRACT: Yellow fever (YF) is an acute viral hemorrhagic disease transmitted by infected mosquitoes. Large epidemics of YF occur when the virus is introduced into heavily populated areas with high mosquito density and low vaccination coverage. The lack of a specific small molecule drug treatment against YF as well as for homologous infections, such as zika and dengue, highlights the importance of these flaviviruses as a public health concern. With the advancement in computer hardware and bioactivity data availability, new tools based on machine learning methods have been introduced into drug discovery, as a means to utilize the growing high throughput screening (HTS) data generated to reduce costs and increase the speed of drug development. The use of predictive machine learning models using previo

SUBMITTER: Gawriljuk VO 

PROVIDER: S-EPMC8574157 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature