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The beta-sheet network of the amyloid fibril is a dominant structural feature of this class of protein structures. An attractive way to view the protein misfolding events that lead to the formation of fibrils and other aggregates is to consider how native protein secondary structure rearranges to yield the H-bonding relationships within the aggregate structure. We describe here the application of hydrogen-deuterium exchange mass spectrometry (HX-MS) methods to probe the secondary structure of protein aggregates. This includes exploration of the structures of monomers, protofibrils, and fibrils, the structural relationships among these states, the energetic contribution of H-bonding to fibril stability, and the plasticity of the H-bond network. 相似文献
624.
Amol D. Vibhute Minhaj Khan Anuradha Kanade Chandrashekhar H. Patil Sandeep V. Gaikwad Kanubhai K. Patel Jatinderkumar R. Saini 《Concurrency and Computation》2024,36(11):e8024
The Internet is connected with everyone for sharing and monitoring digital information. However, securing network resources from malicious activities is critical for several applications. Numerous studies have recently used deep learning-based models in detecting intrusions and received relatively robust recognition outcomes. Nevertheless, most investigations have operated old datasets, so they could not detect the most delinquent attack information. Therefore, the current research proposes the long short-term memory (LSTM)-based near real-time multiclass network intrusion detection system (NIDS) utilizing complex cloud CSE-CICIDSS2018 datasets to secure and detect the network anomalous. The proposed strategy utilizes a random forest algorithm for dimensionality reduction and feature selection. In addition, the selected best suitable features were used in a deep learning-based LSTM model developed for detecting network intrusions. The experimental outcomes reveal that the presented LSTM model obtained 99.66% testing accuracy with 0.12% loss. Thus, the suggested approach can detect network intrusions with the highest precision and lowest rate over the earlier designs. 相似文献
625.
Prostate cancer remains a life-threatening disease among men worldwide. The majority of PCa-related mortality results from metastatic disease that is characterized by metastasis of prostate tumor cells to various distant organs, such as lung, liver, and bone. Bone metastasis is most common in prostate cancer with osteoblastic and osteolytic lesions. The precise mechanisms underlying PCa metastasis are still being delineated. Intercellular communication is a key feature underlying prostate cancer progression and metastasis. There exists local signaling between prostate cancer cells and cells within the primary tumor microenvironment (TME), in addition to long range signaling wherein tumor cells communicate with sites of future metastases to promote the formation of pre-metastatic niches (PMN) to augment the growth of disseminated tumor cells upon metastasis. Over the last decade, exosomes/ extracellular vesicles have been demonstrated to be involved in such signaling. Exosomes are nanosized extracellular vesicles (EVs), between 30 and 150 nm in thickness, that originate and are released from cells after multivesicular bodies (MVB) fuse with the plasma membrane. These vesicles consist of lipid bilayer membrane enclosing a cargo of biomolecules, including proteins, lipids, RNA, and DNA. Exosomes mediate intercellular communication by transferring their cargo to recipient cells to modulate target cellular functions. In this review, we discuss the contribution of exosomes/extracellular vesicles in prostate cancer progression, in pre-metastatic niche establishment, and in organ-specific metastases. In addition, we briefly discuss the clinical significance of exosomes as biomarkers and therapeutic agents. 相似文献
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A. Valletta G. Bardelloni M. Brunelli A. Lanzara A. Bianconi N. L. Saini 《Journal of Superconductivity and Novel Magnetism》1997,10(4):383-387
The shape resonance of the superconducting gap for a 2D electron gas in a superlattice of quantum stripes with a finite 1
D periodic potential barrier is studied when the Fermi level is tuned near the bottom of the third superlattice subband. The
maximumT
c
. appears at a critical charge densityT
c
. Forp > p
c
(in the underdoped regime) the chemical potential is tuned in a pseudogap region characterized by a decrease of the density
of states and an opening of the partial gap at the Fermi surface. The pseudogap is closed forp< p
c
(in the overdoped regime). 相似文献
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630.
A simple method for estimation of dilute polymer solution kinematic viscosity versus shear rate curve at temperature of interest and activation energy for viscous flow through the use of efflux time measurement is demonstrated. 相似文献