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Absolute Concentration Robustness in Rank-One Kinetic Systems 一级动力学体系的绝对浓度鲁棒性
2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-10-01 DOI: 10.46793/match.91-2.453m
Eduardo R. Mendoza, Dylan Antonio SJ. Talabis, Editha C. Jose, Lauro L. Fontanil
A kinetic system has an absolute concentration robustness (ACR) for a molecular species if its concentration remains the same in every positive steady state of the system. Just recently, a condition that sufficiently guarantees the existence of an ACR in a rank-one mass-action kinetic system was found. In this paper, it will be shown that this ACR criterion does not extend in general to power-law kinetic systems. Moreover, we also discussed in this paper a necessary condition for ACR in multistationary rank-one kinetic system which can be used in ACR analysis. Finally, a concept of equilibria variation for kinetic systems which are based on the number of the system's ACR species will be introduced here.
如果某一分子种类的浓度在系统的每一个正稳定状态下都保持不变,则该动力学系统具有绝对浓度鲁棒性(ACR)。就在最近,发现了一个足以保证一级质量作用动力学系统中ACR存在的条件。本文将证明ACR准则一般不适用于幂律动力学系统。此外,本文还讨论了多平稳一级动力学系统中ACR存在的一个必要条件,该条件可用于ACR分析。最后,本文将引入基于系统ACR物种数量的动力学系统平衡变化的概念。
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引用次数: 1
Degree Distance in Graphs with Forbidden Subgraphs 具有禁止子图的图的度距离
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.685m
P. Mafuta
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引用次数: 0
Infinite Numbers of Infinite Classes L-Borderenergetic Graphs 无穷类l -边能图的无穷个数
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.729l
Qiuping Li, Liangwen Tang
The graph G of order n is an L-borderenergetic graph which means it has the same Laplacian energy as the complete graph Kn. In this paper, we find that the combination of complete bipartite graphs and stars can construct infinite numbers of infinite classes L-borderenergetic graphs. We give two infinite numbers of infinite classes L-borderenergetic graphs and two infinite classes Lborderenergetic graphs under the operators union, join and their mixed. This research could provide experience for further study the structural characteristics of L-borderenergetic graphs.
n阶图G是一个l边能图这意味着它和完整图Kn有相同的拉普拉斯能量。本文研究了完全二部图与星形图的组合可以构造无限个无限类的l -边能图。给出了两个无限数量的无限类l -边能图和两个无限类l -边能图在算子联合、连接及其混合下的性质。本研究为进一步研究l -边能图的结构特征提供了经验。
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引用次数: 0
Relationship between Ordinary, Laplacian, Randić, Incidence, and Sombor Energies of Trees 树的普通能量、拉普拉斯能量、兰迪奇能量、发生率能量和Sombor能量之间的关系
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.743t
Hafsa Tabassum, P. Kaemawichanurat, A. Adeela, Nathakhun Wiroonsri
The sum of the absolute values of the eigenvalues of the graph’s adjacency matrix is known as its ordinary energy. Based on the eigenvalues of a range of other graph matrices, several other equivalent energies are being considered. In this work, we considered ordinary energy, Laplacian, Randi´c, incidence, and Sombor energy to analyze their relationship using polynomial regression. The performance of each model is exceptional with cross-validation RMSE mostly below 1.
图的邻接矩阵的特征值的绝对值的和被称为它的普通能量。基于一系列其他图矩阵的特征值,考虑了其他几种等效能量。在这项工作中,我们考虑了普通能量、拉普拉斯能量、Randi能量、发生率和Sombor能量,并使用多项式回归分析了它们之间的关系。每个模型的性能都非常出色,交叉验证的RMSE大多低于1。
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引用次数: 0
Graph Energy Change on Edge Deletion 删除边时的图能量变化
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.709t
Liangwen Tang, Mugang Lin, Qiuping Li
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引用次数: 0
Maximizing Graovac-Ghorbani Index of Trees with Fixed Maximum Degree 固定最大度树Graovac-Ghorbani指数的最大化
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.673m
S. Majstorović
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引用次数: 0
Sombor Energy of a Graph with Self-Loops 自环图的Sombor能
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.773a
Deekshitha Vivek Anchan, S. D’souza, H. J. Gowtham, P. G. Bhat
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引用次数: 0
Hopf Bifurcation and Self-Organization Pattern of a Modified Brusselator Model 一类改进Brusselator模型的Hopf分岔与自组织模式
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.581c
Mengxin Chen
This paper reports the Hopf bifurcation and self-organization pattern of a modified Brusselator model. The model is a non-standard Brusselator model, it involves the nonlinear restraint term. For the non-diffusive model, we give the types of unique positive equilibrium. It is found that the unique positive equilibrium may be focus, node, or center and we establish their stability, respectively. Especially, there exists the spatial homogeneous Hopf bifurcation when the equilibrium is a center. The first Lyapunov number technique is applied to perform the direction of the spatial homogeneous Hopf bifurcation. In the sequel, the occurrence conditions of the Turing instability and the spatial inhomogeneous Hopf bifurcation are given for the diffusive model. Moreover, by using the normal form theory, we show that the Hopf bifurcation is supercritical or subcritical. Finally, the self-organization patterns induced by the Turing instability and periodic solutions resulting from the Hopf bifurcation are displayed by employing numerical simulations. Our theoretical predictions and numerical results reveal that the modified Brusselator model enjoys the temporal period oscillation and spatial oscillation due to the Hopf bifurcation and Turing instability, respectively. These results may help us to figure out the spatio-temporal dynamics of such modified Brusselator model.
本文报道了一个改进的Brusselator模型的Hopf分岔和自组织模式。该模型是一个非标准的Brusselator模型,涉及到非线性约束项。对于非扩散模型,我们给出了唯一正平衡的类型。发现唯一正平衡可以是焦点、节点或中心,并分别建立了它们的稳定性。特别是当平衡点为中心时,存在空间齐次Hopf分岔。应用第一李雅普诺夫数技术求解空间齐次Hopf分岔的方向。其次,给出了扩散模型的图灵不稳定性和空间非齐次Hopf分岔的发生条件。此外,我们还利用范式理论证明了Hopf分岔是超临界或亚临界的。最后,通过数值模拟,展示了由图灵不稳定性和Hopf分岔引起的周期解引起的自组织模式。我们的理论预测和数值结果表明,改进的Brusselator模型分别由于Hopf分岔和Turing不稳定性而具有时间周期振荡和空间振荡。这些结果可以帮助我们了解这种改进的Brusselator模型的时空动态。
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引用次数: 0
Qualitative Analysis of the Minimal Higgins Model of Glycolysis 糖酵解最小希金斯模型的定性分析
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.563f
B. Ferčec, M. Mencinger, T. Petek, O. O. Aybar, I. K. Aybar
Glycolysis, one of the leading metabolic pathways, involves many different periodic oscillations emerging at positive steady states of the biochemical models describing this essential process. One of the models employing the molecular diffusion of intermediates is the Higgins biochemical model to explain sustained oscillations. In this paper, we investigate the center-focus problem for the minimal Higgins model for general values of the model parameters with the help of computational algebra. We demonstrate that the model always has a stable focus point by finding a general form of the first Lyapunov number. Then, varying two of the model parameters, we obtain the first three coefficients of the period function for the stable focus point of the model and prove that the singular point is actually a bi-weak monodromic equilibrium point of type [1, 2]. Additionally, we prove that there are two (small) intervals for a chosen parameter a > 0 for which one critical period bifurcates from this singular point after small perturbations
糖酵解是主要的代谢途径之一,在描述这一基本过程的生化模型的正稳定状态下,涉及许多不同的周期振荡。希金斯生化模型是利用中间产物的分子扩散来解释持续振荡的模型之一。本文利用计算代数的方法,研究了最小希金斯模型参数一般值的中心焦点问题。我们通过寻找第一李雅普诺夫数的一般形式证明了模型总是有一个稳定的焦点。然后,通过改变其中两个模型参数,我们得到了模型稳定焦点的周期函数的前三个系数,并证明了该奇点实际上是一个类型为[1,2]的双弱单平衡点。此外,我们证明了对于所选参数> 0存在两个(小)区间,其中一个临界周期在小扰动后从该奇点分叉
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引用次数: 1
Fer-COCL: A Novel Method Based on Multiple Deep Learning Algorithms for Identifying Fertility-Related Proteins ferc - cocl:一种基于多个深度学习算法的鉴定生育相关蛋白的新方法
IF 2.6 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2023-07-01 DOI: 10.46793/match.90-3.537z
Shenmin Zhang, Xinjie Li, Hongyan Shi, Yuanyuan Jing, Yunyun Liang, Yusen Zhang
The survival of species depends on the fertility of organisms. It is also worthwhile to study the proteins that can regulate the reproductive activity of organisms. Since biological experiments are laborious to confirm proteins, it has become a priority that develop relevant computational models to predict the function of fertility-related proteins. With the development of machine learning, pertinent various algorithms can be the key to identifying fertility-related proteins. In this work, we develop a model Fer-COCL based on deep learning. The model consists of multiple features as well as multiple deep learning algorithms. First, we extract features using Amino acid composition (AAC), Dipeptide composition (DPC), CTD transition (CTDT) and deviation between the dipeptide and the expected mean (DDE). After that, the spliced features are fed into the classifier. The data processed jointly by convolutional neural network and long short-term memory is input to the fully connected layer for classification. After evaluating the model using 10-fold cross-validation, the accuracy of the two data sets reaches 97.1% and 98.3%, respectively. The results indicate that the model is efficient and accurate, facilitating biologists' research on biological fertility. In addition, a free online tool for predicting the function of fertility-related proteins is available at http://fercocl.zhanglab.site/.
物种的生存取决于生物体的繁殖力。研究能够调节生物体生殖活动的蛋白质也是值得的。由于生物实验很难确认蛋白质,因此开发相关的计算模型来预测生育相关蛋白质的功能已成为当务之急。随着机器学习的发展,相关的各种算法可以成为识别生育相关蛋白的关键。在这项工作中,我们开发了一个基于深度学习的Fer-COCL模型。该模型由多个特征和多个深度学习算法组成。首先,我们利用氨基酸组成(AAC)、二肽组成(DPC)、CTD过渡(CTDT)和二肽与预期均值之间的偏差(DDE)提取特征。之后,将拼接后的特征输入到分类器中。将卷积神经网络与长短期记忆共同处理的数据输入到全连接层进行分类。采用10倍交叉验证对模型进行评估后,两组数据集的准确率分别达到97.1%和98.3%。结果表明,该模型高效、准确,为生物学家研究生物生育力提供了方便。此外,一个预测生育相关蛋白质功能的免费在线工具可在http://fercocl.zhanglab.site/上获得。
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引用次数: 0
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Match-Communications in Mathematical and in Computer Chemistry
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