ABSTRACT
The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmental quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were collected from the building management system. The occupancy level in each monitored room is established from the computer vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, indoor environmental quality investigations, machine learning, and model predictive control.
ABSTRACT
The design of new protein structures is challenging due to their vast sequence space and the complexity of protein folding. Here, we report a new modular DNA-templated strategy to construct protein mimics. We achieve the spatial control of multiple peptide units by conjugation with DNA and hybridization to a branched DNA trimer template followed by covalent stapling of the preorganized peptides into a single unit. A library of protein mimics with different lengths, sequences, and heptad registers has been efficiently constructed. DNA-templated protein mimics show an α-helix or coiled-coil motif formation even when they are constructed from weakly interacting peptide units. Their attached DNA handles can be used to exert dynamic control over the protein mimics' secondary and tertiary structures. This modular strategy will facilitate the development of DNA-encoded protein libraries for the rapid discovery of new therapeutics, enzymes, and antibody mimics.
Subject(s)
Peptides , Proteins , Proteins/chemistry , Peptides/chemistry , DNA/chemistry , Protein Folding , Protein DomainsABSTRACT
The data presented were sourced from 34,884 commercial smart heat meters and 10,765 commercial smart water meters, spanning a timeframe of up to 5 years (2018-2022). All data primarily originated from single-family houses in Aalborg Municipality, Denmark. Furthermore, comprehensive building characteristics were collected for each building, where available, from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data. This effort yielded an extensive pool of up to 86 distinct characteristics per building. All smart meter data were processed employing a well-established methodology, resulting in equidistant hourly data without any erroneous or missing values. The building characteristics derived from the EPCs were additionally filtered using rule sets to improve the data quality. This dataset holds substantial value for researchers involved in the domains of the built environment, district heating, and water sectors.
ABSTRACT
A method for automated solid-phase synthesis of oligo(disulfide)s was developed. It is based on a synthetic cycle comprising removal of a protecting group from a resin-bound thiol followed by treatment with monomers containing a thiosulfonate as an activated precursor. For ease of purification and characterization, the disulfide oligomers were synthesized as extensions of oligonucleotides on an automated oligonucleotide synthesizer. Six different dithiol monomer building blocks were synthesized. Sequence-defined oligomers of up to seven disulfide units were synthesized and purified. The sequence of the oligomer was confirmed by tandem MS/MS analysis. One of the monomers contains a coumarin cargo that can be released by a thiol-mediated release mechanism. When the monomer was incorporated into an oligo(disulfide) and subjected to reducing conditions, the cargo was released under near-physiological conditions, which underlines the potential use of these molecules in drug delivery systems.
