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Organic semiconductors with intramolecular noncovalent interactions are promising hole transport materials (HTMs) for efficient and stable perovskite solar cells (PSCs), but the effects of different types of noncovalent bonds on the properties of HTMs are rarely reported. Here, three thiazolo[5,4-d]thiazole (TzTz)-based HTMs with different side chains were developed. Compared with alkyl side chains, functional side chains can improve the crystallinity and charge transport ability of HTMs by forming intramolecular noncovalent interactions. However, the steric hindrance of S···O in TzTzTPA-SO distorted the molecular skeleton, leading to edge-on stacking and local aggregation of film. Fortunately, TzTzTPA-NH with intramolecular hydrogen bond showed high planarity, proper crystallinity, and preferred stacking orientation. Consequently, a remarkable power conversion efficiency (PCE) of 24.2% with a nice long-term stability was achieved by dopant-free TzTzTPA-NH-based PSCs, which is superior to the doped Spiro-OMeTAD-based PSCs. In addition, TzTzTPA-NH is well used as HTM in wide-bandgap PSCs and perovskite/organic tandem solar cells (TSCs). Encouragingly, the TSCs based on TzTzTPA-NH achieved an excellent PCE of 25.4%, which is the highest PCE of n-i-p perovskite/organic TSCs. This work clearly illustrates the effect of intramolecular noncovalent interactions on the properties of HTMs, and provides guidance for designing high-performance dopant-free HTMs in PSCs.
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http://dx.doi.org/10.1002/anie.202504144 | DOI Listing |
Chem Sci
August 2025
Department of Chemistry and Biochemistry, University of South Carolina Columbia SC 29208 USA
Solvent attenuation of dispersion interactions was quantified using a new class of rigid intramolecular CH-π molecular balances. These balances incorporate small, two-carbon CH donors that minimize solvophobic effects and isolate the dispersion component. Folding energies (Δ ) were measured across eight solvents: cyclohexane, toluene, chloroform, ethyl acetate, acetone, acetonitrile, DMSO, and methanol.
View Article and Find Full Text PDFComput Biol Chem
August 2025
School of Biotechnology, Jawaharlal Nehru University, New Delhi 110067, India. Electronic address:
Parkinson's disease (PD) is significantly characterized by the accumulation of α-synuclein (α-Syn) amyloid aggregates, especially in the form of Lewy bodies. Our study explores the effect of one of the four nucleobases, adenine, on the amyloid transformation of the A53T mutant of α-Syn (A53T Syn), which is linked to the early-onset PD characterized by increased protofibril production and fast aggregation. Systematic analysis using biophysical techniques in conjunction with computational methods demonstrated that adenine stabilizes the monomeric conformations of A53T Syn by interacting with the NAC domain of the protein through non-covalent interactions.
View Article and Find Full Text PDFJ Chem Inf Model
August 2025
Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 211198, P. R. China.
Chalcogen bonds (ChBs) are essential noncovalent interactions in biological systems and drug molecules, playing a key role in stabilizing protein structures and determining the bound conformations of drugs. While previous studies on ChBs in biological systems have primarily focused on interactions between residues and within drug molecules, systematic investigations into the characteristics of ChBs between proteins and ligands remain limited. This study systematically explores ChBs between proteins and sulfur-containing ligands using comprehensive database analyses and precise quantum mechanics (QM) calculations.
View Article and Find Full Text PDFNeural Netw
August 2025
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China. Electronic address:
Protein-ligand binding affinity (PLBA) is a crucial metric in drug screening for identifying potential candidate compounds. In recent years, deep learning-based methods have used representation learning to model interactions within protein-ligand complexes, demonstrating great promise in affinity prediction tasks. Existing studies have considered both intramolecular (covalent) and intermolecular (non-covalent) interactions to some extent.
View Article and Find Full Text PDFBiochem Biophys Res Commun
August 2025
Department of Chemistry, St Berchmans College (Autonomous), Changanassery, Kerala, India; Centre for Theoretical and Computational Chemistry, St Berchmans College (Autonomous), Changanassery, Kerala, 686101, India. Electronic address:
Addressing the escalating global challenge of antimicrobial resistance, this study reports the synthesis, comprehensive structural characterization, and multiscale computational modeling of two novel vanillin-derived Schiff's bases, 1 (from threonine) and 2 (from valine). Spectral analyses confirmed their successful formation. Antimicrobial assays revealed significant activity against a panel of Gram-negative (Escherichia coli, Pseudomonas aeruginosa), Gram-positive (Bacillus subtilis, Staphylococcus aureus), and fungal (Candida albicans, Aspergillus flaves) strains.
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