Structural Biology & Bio-Informatics Division, CSIR-Indian Institute of Chemical Biology, Kolkata, India
Sourav Chowdhury
Chemistry and Chemical Biology, Harvard University, Cambridge, United States
Bidisha Das
Structural Biology & Bio-Informatics Division, CSIR-Indian Institute of Chemical Biology, Kolkata, India; Academy of Scientific and Innovative Research (AcSIR), CSIR- Human Resource development Centre Campus, Ghaziabad, India
Amrita Banerjee
Hiralal Mazumdar Memorial College for Women, Kolkata, India
Animesh Halder
Department of Physics, Jadavpur University, Kolkata, India
Amaresh Kumar
School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, India
Mohammed Saleem
School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, India
Structural Biology & Bio-Informatics Division, CSIR-Indian Institute of Chemical Biology, Kolkata, India; Academy of Scientific and Innovative Research (AcSIR), CSIR- Human Resource development Centre Campus, Ghaziabad, India
Aggregation of Cu–Zn superoxide dismutase (SOD1) is implicated in the motor neuron disease, amyotrophic lateral sclerosis (ALS). Although more than 140 disease mutations of SOD1 are available, their stability or aggregation behaviors in membrane environment are not correlated with disease pathophysiology. Here, we use multiple mutational variants of SOD1 to show that the absence of Zn, and not Cu, significantly impacts membrane attachment of SOD1 through two loop regions facilitating aggregation driven by lipid-induced conformational changes. These loop regions influence both the primary (through Cu intake) and the gain of function (through aggregation) of SOD1 presumably through a shared conformational landscape. Combining experimental and theoretical frameworks using representative ALS disease mutants, we develop a ‘co-factor derived membrane association model’ wherein mutational stress closer to the Zn (but not to the Cu) pocket is responsible for membrane association-mediated toxic aggregation and survival time scale after ALS diagnosis.