Cutting-edge machine learning tools have shown significant promise for infectious disease control using the bacterial genome. In this chapter, an overview of key problems of clinical microbiology surrounding infectious disease management, antibiotic resistance, and clinical susceptibility test to antimicrobial drugs, will be provided, followed by an introduction of genomic data used in genotypi...

An approach to ab initio protein tertiary structure prediction based on building and scoring libraries of folds was tested at the CASP3 experiment. We present blind predictions for five helical targets varying in length from 31 to 114 residues. Our method was able to predict most of each structure correctly to about 6 Å Cα root-meansquare deviation (RMSD), with the exception of the largest targ...

The subcellular localization (SCL) of proteins provides important clues to their function in a cell. In our efforts to predict useful vaccine targets against Gram-negative bacteria, we noticed that misannotated start codons frequently lead to wrongly assigned SCLs. This and other problems in SCL prediction, such as the relatively high false-positive and false-negative rates of some tools, can b...