Background : Candida albicans is a diploid pathogenic fungus not yet amenable to routine genetic investigations. Understanding aspects of the regulation of its biological functions and the assembly of
(A) SDS-PAGE and Coomassie blue staining of the whole cell lysate corresponding to E. coli BL21 transformed with pCold-TF-AcLAP plasmid (lane 1), soluble fraction of the sonicated cell lysate (lane 2)
We present explainable machine learning approaches for gaining deeper insights into the solubilization processes of inclusion bodies. The machine learning model with the highest prediction accuracy fo
