Results 31 to 40 of about 890,281 (238)
Generalized $ABC$ Energy of Weighted Graphs [PDF]
In this work, weighted generalized $ABC$ matrix and weighted generalized $ABC$ energy of graphs are considered. Some upper and lower bounds are given for generalized $ABC$ energy of weighted graphs with positive definite matrix edge weights.
N. Feyza Yalcin
doaj
Beyond graph energy: norms of graphs and matrices
In 1978 Gutman introduced the energy of a graph as the sum of the absolute values of graph eigenvalues, and ever since then graph energy has been intensively studied.
Nikiforov, Vladimir
core +1 more source
Minimum trace norm of real symmetric and Hermitian matrices with zero diagonal
We establish tight lower bounds for the trace norm (‖⋅‖1)\left(\Vert \cdot {\Vert }_{1}) of real symmetric and Hermitian matrices with zero diagonal entries in terms of their entrywise L1{L}^{1}-norms (‖⋅‖(1))\left(\Vert \cdot {\Vert }_{\left(1)}).
Einollahzadeh Mostafa +1 more
doaj +1 more source
Investigation of the Main Energies of Picture Fuzzy Graph and its Applications
Picture fuzzy graph, belonging to fuzzy graphs family, has good capabilities at times when we are faced with problems that cannot be expressed by fuzzy graphs and intuitionistic fuzzy graphs.
Xiaolong Shi +4 more
doaj +1 more source
Stochastic dynamics of model proteins on a directed graph [PDF]
A method for reconstructing the energy landscape of simple polypeptidic chains is described. We show that we can construct an equivalent representation of the energy landscape by a suitable directed graph. Its topological and dynamical features are shown
Alessandro Torcini +12 more
core +1 more source
Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile +8 more
wiley +1 more source
Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information
Identification of protein-protein interactions (PPIs) plays an essential role in the understanding of protein functions and cellular biological activities. However, the traditional experiment-based methods are time-consuming and laborious.
Da Xu +4 more
doaj +1 more source
Computing the Energy and Estrada Index of Different Molecular Structures
Graph energy is an invariant that is derived from the spectrum of the adjacency matrix of a graph. Graph energy is actually the absolute sum of all the eigenvalues of the adjacency matrix of a graph i.e.
Zeeshan Saleem Mufti +5 more
doaj +1 more source
Phytohormone brassinosteroid‐induced gene regulation by the transcription factor BIL1/BZR1 involves redox‐dependent DNA‐binding alternation and interaction with the transcription factor PIF4. The reduced BIL1/BZR1 dimer binds preferred cis‐elements, while oxidation alters its oligomerization state and disrupts DNA‐binding ability.
Shohei Nosaki +4 more
wiley +1 more source
Given discrete degrees of freedom (spins) on a graph interacting via an energy function, what can be said about the energy local minima and associated inherent structures?
A. Krzywicki +7 more
core +2 more sources

