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he system globally, resulting in different equilibrium structures, charge distributions, and reactivity. These phenomena cannot be captured by second- and third-generation MLPs. Consequently, the inclusion of nonlocal phenomena has been identified as a next key step in the development of a new fourth generation of MLPs. While a first fourth-generation MLP, the charge equilibration neural network technique (CENT), was introduced in 2015, only very recently have a range of new general-purpose methods applicable to a broad range of physical scenarios emerged. In this Account, we show how fourth-generation HDNNPs can be obtained by combining the concepts of CENT and second-generation HDNNPs. These new MLPs allow for a highly accurate description of systems where nonlocal charge transfer is important.As a critical component in perovskite solar cells (PSCs), hole-transporting materials (HTMs) have been extensively explored. To develop efficient dopant-free HTMs for PSCs, a decent hole mobility (>10-3 cm2 V-1 s-1) is critically essential, which is, however, seldom reported. In this work, we introduce two novel donor-acceptor (D-A) type conjugated polymers (PDTPC-1 and PDTPC-2) with narrow bandgap unit, i.e., fused dithienopicenocarbazole (DTPC), as the donor building block and benzo[c][1,2,5]thiadiazole derivatives as the acceptors. The highly planar and strong electron-donating DTPC endows the polymers with superior hole mobility up to ∼4 × 10-3 cm2 V-1 s-1. Because of the better energy alignment with perovskite and excellent film-forming property, PSCs with PDTPC-1 as HTM show an appreciably enhanced PCE of ∼17% in dopant-free PSCs along with improved device stability as opposed to PDTPC-2. Our work revealed for the first time that the introduction of narrow bandgap DTPC in D-A polymers could achieve remarkably high hole mobility in the pristine form, favoring the application in dopant-free PSCs.Antibacterial adjuvants are of great significance, since they allow the therapeutic dose of conventional antibiotics to be lowered and reduce the insurgence of antibiotic resistance. Herein, we report that an O-acetylserine sulfhydrylase (OASS) inhibitor can be used as a colistin adjuvant to treat infections caused by Gram-positive and Gram-negative pathogens. A compound that binds OASS with a nM dissociation constant was tested as an adjuvant of colistin against six critical pathogens responsible for infections spreading worldwide, Escherichia coli, Salmonella enterica serovar Typhimurium, Klebisiella pneumoniae, Staphylococcus aureus, methicillin-resistant Staphylococcus aureus, and Staphylococcus pseudintermedius. The compound showed promising synergistic or additive activities against all of them. Knockout experiments confirmed the intracellular target engagement supporting the proposed mechanism of action. Moreover, compound toxicity was evaluated by means of its hemolytic activity against sheep defibrinated blood cells, showing a good safety profile. The 3D structure of the compound in complex with OASS was determined at 1.2 Å resolution by macromolecular crystallography, providing for the first time structural insights about the nature of the interaction between the enzyme and this class of competitive inhibitors. Our results provide a robust proof of principle supporting OASS as a potential nonessential antibacterial target to develop a new class of adjuvants and the structural basis for further structure-activity relationship studies.Although fluorescent proteins have been utilized for a variety of biological applications, they have several optical limitations, namely weak red and near-infrared emission and exceptionally broad (>200 nm) emission profiles. The photophysical properties of fluorescent proteins can be enhanced through the incorporation of novel cofactors with the desired properties into a stable protein scaffold. To this end, a fluorescent phosphorus corrole that is structurally similar to the native heme cofactor is incorporated into two exceptionally stable heme proteins H-NOX from Caldanaerobacter subterraneus and heme acquisition system protein A (HasA) from Pseudomonas aeruginosa. These yellow-orange emitting protein conjugates are examined by steady-state and time-resolved optical spectroscopy. The HasA conjugate exhibits enhanced fluorescence, whereas emission from the H-NOX conjugate is quenched relative to the free corrole. Despite the low fluorescence quantum yields, these corrole-substituted proteins exhibit more intense fluorescence in a narrower spectral profile than traditional fluorescent proteins that emit in the same spectral window. This study demonstrates that fluorescent corrole complexes are readily incorporated into heme proteins and provides an inroad for the development of novel fluorescent proteins.Enzymatically driven change to the spectroscopic properties of a chemical substrate or product has been a linchpin in the development of continuous enzyme kinetics assays. These assays inherently necessitate substrates or products that naturally comply with the constraints of the spectroscopic technique being used, or they require structural changes to the molecules involved to make them observable. Here we demonstrate a new analytical kinetics approach with enzyme histidine triad nucleotide binding protein 1 (HINT1) that allows us to extract both useful kcat values and a rank-ordered list of substrate specificities without the need to track substrates or products directly. Instead, this is accomplished indirectly using a "switch on" competitive inhibitor that fluoresces maximally only when bound to the HINT1 enzyme active site. Kinetic information is extracted from the duration of the diminished fluorescence when the monitorable inhibitor-bound enzyme is challenged with saturating concentrations of a nonfluorescent substrate. We refer to the loss of fluorescence, while the substrate competes for the fluorescent probe in the active site, as the substrate's residence transit time (RTT). The ability to assess kcat values and substrate specificity by monitoring the RTTs for a set of substrates with a competitive "switch on" inhibitor should be broadly applicable to other enzymatic reactions in which the "switch on" inhibitor has sufficient binding affinity over the enzymatic product.Single-phase white-emission phosphors possess a judicious usage potential in phosphor-converted white-light-emitting diodes (WLEDs). Recently, numerous efforts have been made toward the development of new patterns of white-emitting phosphors that achieve excellent quantum yield, superior thermal stability, and applaudable cost effectiveness of WLEDs. Finding suitable single-component white phosphor hosts to provide an ideal local environment for activators remains urgent. Inspired by the original discovery of the promising host MgIn2(P2O7)2 (MIP) and its structural dependence on alkali-metal cations, we synthesized a brand-new phosphor host, SrIn2(P2O7)2 (SIP), via the traditional solid-state reaction. Its crystal structure was determined using an ab initio analysis and the Rietveld method. It belongs to a monoclinic unit cell with the space group C2/c. Besides, SIP exhibits a special layered three-dimensional framework in which the monolayer [SrO10]∞ was surrounded by a bilayer [In2P4O14]∞ made of the InO6 ophosphor possessing superior thermal endurance for UV-light-stimulated WLEDs.Target molecule-induced desorption of aptamer probes from nanomaterials has been a very popular sensing method, taking advantage of the fluorescence quenching or catalytic activity of nanomaterials for signal generation. While it is generally conceived that aptamers desorb due to binding to target molecules, in this work, we examined the effect of competitive target adsorption. From five metal oxide nanoparticles including CeO2, ZnO, NiO, Fe3O4, and TiO2, only ATP was able to induce desorption of its aptamer. Adenosine could not, even though it had an even higher affinity than ATP to the aptamer. The same conclusion was also observed with a random DNA that cannot bind ATP, indicating that the desorption of DNA was due to competitive adsorption of ATP instead of aptamer binding. On graphene oxide, however, adenosine produced slightly more aptamer desorption than ATP under most of the conditions, and this can be partially attributed to the weaker interaction of negatively charged ATP with negatively charged graphene oxide. For such surface-based biosensors, it is recommended that a nonaptamer control DNA be tested side-by-side to ensure the sensing mechanism to be related to aptamer binding instead of target adsorption.Nanodrug delivery systems are very promising for highly efficient anticancer drug delivery. However, the present nanosystems are commonly located in the cytoplasm and mediate uncontrolled release of drugs into cytosol, while a large number of anticancer drugs function more efficiently inside the nucleus. Here, we constructed a CRISPR-dCas9-guided and telomerase-responsive nanosystem for nuclear targeting and smart release of anticancer drugs. CRISPR-dCas9 technology has been employed to achieve conjugation of mesoporous silica nanoparticles (MSNs) with a high payload of the active anticancer drug, doxorubicin (DOX). A specifically designed wrapping DNA was used as a telomerase-responsive biogate to encapsulate DOX within MSNs. The wrapping DNA is extended in the presence of telomerase, which is highly activated in tumor cells, but not in normal cells. The extended DNA sequence forms a rigid hairpin-like structure and diffuses away from the MSN surface. CRISPR-dCas9 specifically targets telomere-repetitive sequences at the tips of chromosomes, facilitating the precise delivery of the nanosystem to the nucleus, and effective drug release triggered by telomerase that was enriched around telomeric repeats. This study provides a strategy and nanosystem for nuclear-targeted delivery and tumor-specific release of anticancer drugs that will maximize the efficiency of cancer cell destruction.In this study, a highly sensitive trilayer photodetector using Co-doped ZnFe2O4 thin films annealed at 400 °C was synthesized successfully. Trilayer-photodetector devices with a film stack of 5 at % Co-doped-zinc-ferrite-thin-film/indium-tin-oxide on p+-Si substrates were fabricated by radio-frequency sputtering. The absorbance spectra, photoluminescence spectra, transmission electron microscopy images, and I-V characteristics under various conditions were comprehensively investigated. The outstanding performance of trilayer-photodector devices was measured, including a high photosensitivity of 181 and a fast photoresponse time with a rise time of 10.6 ms and fall time of 9.9 ms under 630 nm illumination. Therefore, the Co-doped ZnFe2O4 thin film is favorable for potential photodetector applications in visible light regions.Selecting a model in predictive toxicology often involves a trade-off between prediction performance and explainability should we sacrifice the model performance to gain explainability or vice versa. Here we present a comprehensive study to assess algorithm and feature influences on model performance in chemical toxicity research. We conducted over 5000 models for a Tox21 bioassay data set of 65 assays and ∼7600 compounds. Seven molecular representations as features and 12 modeling approaches varying in complexity and explainability were employed to systematically investigate the impact of various factors on model performance and explainability. We demonstrated that end points dictated a model's performance, regardless of the chosen modeling approach including deep learning and chemical features. Overall, more complex models such as (LS-)SVM and Random Forest performed marginally better than simpler models such as linear regression and KNN in the presented Tox21 data analysis. Since a simpler model with acceptable performance often also is easy to interpret for the Tox21 data set, it clearly was the preferred choice due to its better explainability.

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