B-DNA flexibility, crucial for DNA-protein recognition, is sequence dependent. Free DNA in solution would in principle be the best reference state to uncover the relation between base sequences and their intrinsic flexibility; however, this has long been hampered by a lack of suitable experimental data. We investigated this relationship by compiling and analyzing a large dataset of NMR (31)P chemical shifts in solution. These measurements reflect the BI <--> BII equilibrium in DNA, intimately correlated to helicoidal descriptors of the curvature, winding and groove dimensions. Comparing the ten complementary DNA dinucleotide steps indicates that some steps are much more flexible than others. This malleability is primarily controlled at the dinucleotide level, modulated by the tetranucleotide environment. Our analyses provide an experimental scale called TRX that quantifies the intrinsic flexibility of the ten dinucleotide steps in terms of Twist, Roll, and X-disp (base pair displacement). Applying the TRX scale to DNA sequences optimized for nucleosome formation reveals a 10 base-pair periodic alternation of stiff and flexible regions. Thus, DNA flexibility captured by the TRX scale is relevant to nucleosome formation, suggesting that this scale may be of general interest to better understand protein-DNA recognition.
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http://dx.doi.org/10.1093/nar/gkp962 | DOI Listing |
ACS Appl Mater Interfaces
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School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, P. R. China.
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Encryption and decryption of data with very low latency and high energy efficiency is desirable in almost every application that deals with sensitive data. The advanced encryption standard (AES) is a widely adopted algorithm in symmetric key cryptography with numerous efficient implementations. Nonetheless, in scenarios involving extensive data processing, the primary limitations on performance and efficiency arise from data movement between memory and the processor, rather than data processing itself.
View Article and Find Full Text PDFAdv Sci (Weinh)
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State Key Laboratory of Structure Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian, 350002, P. R. China.
Circularly Polarized Light (CPL)-dependent anomalous photovoltaic effect (APVE), characterized by light helicity-manipulated steady photocurrent and above-bandgap photovoltage, has demonstrated significant potential in the fields of photoelectronic and photovoltaics. However, exploiting CPL-dependent APVE in chiral hybrid perovskites, a promising family with intrinsic chiroptical activity and non-centrosymmetric structure, remains challenging. Here, leveraging the flexible structural design of chiral alternating cations intercalation-type perovskites, CPL-dependent APV, for the first time, is achieved in chiral perovskites.
View Article and Find Full Text PDFSmall
January 2025
Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, P. R. China.
Near-infrared (NIR)-triggered type-I photosensitizers are crucial to address the constraints of hypoxic tumor microenvironments in phototherapy; however, significant challenges remain. By selecting an electron-deficient unit, a matched energy gap in the upper-level state is instrumental in boosting the efficiency of intersystem crossing for the type-I electron transfer process. 2-Cyanothiazole, an electron acceptor, is covalently linked with N, N-diphenyl-4-(thiophen-2-yl)aniline to yield a multifunctional photosensitizer (TTNH) that exhibits intrinsic NIR absorbance and compatible T energy levels, facilitating both radiative and nonradiative transitions.
View Article and Find Full Text PDFJ Neural Eng
January 2025
University of Pittsburgh, 1622 Locust St, Pittsburgh, Pennsylvania, 15219, UNITED STATES.
Real-world implementation of brain-computer interfaces (BCI) for continuous control of devices should ideally rely on fully asynchronous decoding approaches. That is, the decoding algorithm should continuously update its output by estimating the user's intended actions from real-time neural activity, without the need for any temporal alignment to an external cue. This kind of open-ended temporal flexibility is necessary to achieve naturalistic and intuitive control, but presents a challenge: how do we know when it is appropriate to decode anything at all? Activity in motor cortex is dynamic and modulates with many different types of actions (proximal arm control, hand control, speech, etc.
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