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Solid-state nanopores have emerged as one of the most versatile tools for single-biomolecule detection and characterization. Nanopore sensing is based on the measurement of variations in ionic current as charged biomolecules immersed in an electrolyte translocate through nanometer-sized channels, in response to an external voltage applied across the membrane. The passage of a biomolecule through a pore yields information about its structure and chemical properties, as demonstrated experimentally with sub-microsecond temporal resolution. However, extracting the sequence of a biomolecule without the information about its position remains challenging due to the fact there is a large variability of sensing events recorded. In this paper, we performed microsecond time scale all-atom non-equilibrium Molecular Dynamics (MD) simulations of peptide translocation (motifs of alpha-synuclein, associated with Parkinson's disease) through single-layer MoS2 nanopores. First, we present an analysis based on the current threshold to extract and characterize meaningful sensing events from ionic current time series computed from MD. Second, a mechanism of translocation is established, for which side chains of each amino acid are oriented parallel to the electric field when they are translocating through the pore and perpendicular otherwise. Third, a new procedure based on the permutation entropy (PE) algorithm is detailed to identify protein sequence motifs related to ionic current drop speed. PE is a technique used to quantify the complexity of a given time series and it allows the detection of regular patterns. Here, PE patterns were associated with protein sequence motifs composed of 1, 2 or 3 amino acids. Finally, we demonstrate that this very promising procedure allows the detection of biological mutations and could be tested experimentally, despite the fact that reconstructing the sequence information remains unachievable at this time.The conversion of CO2 into liquid fuels and value-added fine chemicals is of significant interest for both the environment and the global energy demand. In this frontier article, we highlight viable methods for transforming CO2 into valuable C1 feedstocks and summarize the key mechanistic aspects obtained by in-depth computational investigations of three important pathways of two-electron CO2 reduction (i) CO2 dissociation to CO (ii) CO2 dimerization to CO32- and CO, and (iii) CO2 hydrogenation to formate. Lastly, we present our outlook on how theoretically obtained mechanistic insights could be translated into strategies for designing efficient non-noble-metal catalysts for CO2 reduction.Protein expression is closely related to many biological processes including cell growth, differentiation and signaling. It is a challenge to selectively monitor newly synthesized proteins under both physiological and pathological conditions due to shortage of efficient analytical methods. [https://www.selleckchem.com/peptide/avexitide.html https://www.selleckchem.com/peptide/avexitide.html] Here, we proposed a new strategy to selectively monitor newly synthesized proteins in cells by combining fluorescence correlation spectroscopy (FCS) with bioorthogonal noncanonical amino acid tagging (BONCAT) technique. Firstly, homopropargylglycine (HPG), an alkyne surrogate of methionine, was metabolically incorporated into newly synthesized proteins in living cells, and the proteins containing the alkyne functional group were subsequently labeled with chemoselective fluorescence reporters using the Cu(i)-catalyzed azide-alkyne cycloaddition (CuAAC) reaction. Then, FCS was used to analyze the newly synthesized proteins based on the difference in the characteristic diffusion times of labeled proteins and free fluorescent dyes. We optimized the conditions of HPG metabolic incorporation and the CuAAC click reaction and applied this new method to study autophagic protein degradation and in situ monitor secreted proteins in cells. Compared to current methods, our method is simple, fast, and without separation, and it may become a promising approach for in situ studying protein expression in living cells.The basicity constant, or pKb, is an intrinsic physical property of bases that gives a measure of its proton affinity in macroscopic environments. While the pKb is typically defined in reference to the bulk aqueous phase, several studies have suggested that this value can differ significantly at the air-water interface (which can have significant ramifications for particle surface chemistry and aerosol growth modeling). To provide mechanistic insight into surface proton affinity, we carried out ab initio metadynamics calculations to (1) explore the free-energy profile of dimethylamine and (2) provide reasonable estimates of the pKb value in different solvent environments. We find that the free-energy profiles obtained with our metadynamics calculations show a dramatic variation, with interfacial aqueous dimethylamine pKb values being significantly lower than in the bulk aqueous environment. Furthermore, our metadynamics calculations indicate that these variations are due to reduced hydrogen bonding at the air-water surface. Taken together, our quantum mechanical metadynamics calculations show that the reactivity of dimethylamine is surprisingly complex, leading to pKb variations that critically depend on the different atomic interactions occurring at the microscopic molecular level.The vacuum ultraviolet (VUV) absorption spectra of cyclic ethers consist primarily of Rydberg ← n transitions. By studying three cyclic ethers of varying ring size (tetrahydropyran, tetrahydrofuran and trimethylene oxide, n = 6-4), we investigated the influence of ring size on the VUV excited-state dynamics of the 3d Rydberg manifold using time-resolved photoelectron spectroscopy (TRPES), time-resolved mass spectroscopy (TRMS) and ab initio electronic structure calculations. Whereas neither the electronic characters nor the term energies of the excited-states are substantially modified when the ring-size is reduced from n = 6 to 5 to 4, the excited-state lifetimes concomitantly decrease five-fold. TRPES and TRMS allow us to attribute the observed dynamics to a Rydberg cascade from the initially excited d-Rydberg manifold via the p-Rydberg manifold to the s-Rydberg state. Cuts through potential energy surfaces along the C-O bond reveal that a nσ* state crossing brings the s-Rydberg state along a path to the ring-opened ground state.