Results 81 to 90 of about 32,946 (310)
Attractor robustness analysis. [PDF]
, 2015 Random networks with similar structure to A. thaliana CC GRN were less tolerant to perturbations than original CC GRN. The frequency of perturbations that recovered the original attractor after a perturbation in the Boolean functions, is shown in: (A ...
Karla García-Cruz (792270) +5 more
core +1 more source
Dynamics on a class of f(R,T) cosmology
上海师范大学学报. 自然科学版, 2014 In this paper,the dynamical analysis is performed for a spatially flat universe governed by a special model of f(R,T) gravity.The critical points are classified and a three-dimensional attractor is found.Especially,in the case of T=0,the phase ...
GE Feifei
doaj +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Discussion on the geometric structure of strange attractor [PDF]
, 1991 We discuss the transversal heteroclinic cycle formed by hyperbolic periodic pointes of diffeomorphism on the differential manifold. We point out that every possible kind of transversal heteroclinic cycle has the Smalehorse property and the unstable ...
Cao YL, Liu ZR
core
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Progressive Attractor Selection in Latent Attractor Networks [PDF]
, 2001 Latent attractor networks are recurrent neural networks with weak embedded attractors. The attractors bias the network's response to external inputs without becoming fully manifested themselves.
Ali A. Minai, Simona Doboli
core
An alternative attractor in gauged NJL inflation [PDF]
, 2017 We have investigated the attractor structure for the CMB fluctuations in a composite inflation scenario within the gauged Nambu–Jona-Lasinio (NJL) model. Such composite inflation represents an attractor which cannot be found in a fundamental scalar model.
Hiroki Sakamoto +2 more
core +1 more source
Attractor – a new turning point in drug discovery
Drug Design, Development and Therapy, 2019 Xucan Hou, Meng Li, Congmin Jia, Xianbao Zhang, Yun WangDepartment of Traditional Chinese Medicine Information Fusion and Utilization, Beijing University of Chinese Medicine, Beijing, People’s Republic of ChinaCorrespondence: Yun WangDepartment of ...
Hou X, Li M, Jia C, Zhang X, Wang Y
doaj
New Construction of a Chaotic Generator on the Lorenz Attractor [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 it be known that the chaotic phenomena can be obtained from relatively simple systems that are governed by a small number of variables. The system will then be deterministic, although its behaviour is unforeseeable. The chaotic generator hereby suggested
Abdallah M +3 more
doaj +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source