Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria.

A real-time understanding of the distribution and duration of power outages after a major disaster is a precursor to minimizing their harmful consequences. Here, we develop an approach for using daily satellite nighttime lights data to create spatially disaggregated power outage estimates, tracking electricity restoration efforts after disasters strike. In contrast to existing utility data, these estimates are independent, open, and publicly-available, consistently measured across regions that may be serviced by several different power companies, and inclusive of distributed power supply (off-grid systems). We apply the methodology in Puerto Rico following Hurricane Maria, which caused the longest blackout in US history. Within all of the island's settlements, we track outages and recovery times, and link these measures to census-based demographic characteristics of residents. Our results show an 80% decrease in lights, in total, immediately after Hurricane Maria. During the recovery, a disproportionate share of long-duration power failures (> 120 days) occurred in rural municipalities (41% of rural municipalities vs. 29% of urban municipalities), and in the northern and eastern districts. Unexpectedly, we also identify large disparities in electricity recovery between neighborhoods within the same urban area, based primarily on the density of housing. For many urban areas, poor residents, the most vulnerable to increased mortality and morbidity risks from power losses, shouldered the longest outages because they lived in less dense, detached housing where electricity restoration lagged. The approach developed in this study demonstrates the potential of satellite-based estimates of power recovery to improve the real-time monitoring of disaster impacts, globally, at a spatial resolution that is actionable for the disaster response community.

Modeling the accessible conformations of the intrinsically unstructured transactivation domain of p53.

Internuclear distances derived from paramagnetic relaxation enhancement (PRE) data were used to restrain molecular dynamics simulations of the intrinsically unstructured transactivation domain of the tumor suppressor protein, p53. About 1000 structures were simulated using ensemble averaging of replicate molecules to compensate for the inherent bias in the PRE-derived distances. Gyration radii measurements on these structures show that the p53 transactivation domain (p53TAD) is statistically predominantly in a partially collapsed state that is unlike the open structure that is found for p53TAD bound to either the E3 ubiquitin ligase, MDM2, or the 70 kDa subunit of replication protein A, RPA70. Contact regions that potentially mediate the collapse were identified and found to consist of mostly hydrophobic residues. The identified contact regions preferentially place the MDM2 and RPA70 binding regions in close proximity. We show that our simulations thoroughly sample the available range of conformations and that a fraction of the molecules are in an open state that would be competent for binding either MDM2 or RPA70. We also show that the Stokes radius estimated from the average gyration radius of the ensemble is in good agreement with the value determined using size exclusion chromatography. Finally, the presence of a persistent loop localized to a PXP motif was identified. Serine residues flanking the PXP motif become phosphorylated in response to DNA damage, and we postulate that this will perturb the equilibrium population to more open conformations.