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1 ium and that the reaction follows the law of mass action.
2 a displacement of PQ-9 from the A(1) site by mass action.
3 sion of TraR potentiates this interaction by mass action.
4 romolecule near a specific site will bind by mass action.
5 equilibrium toward the non-native species by mass action.
6 ficiently high to produce oligomerization by mass action.
7 ate overcomes this thermodynamic barrier via mass action.
8 elebrate the 150th anniversary of the law of mass action.
9 S1 to drive synthesis of 11-cis-retinoids by mass action.
10 of "complexes", or the monomials coming from mass action.
11 ace the bound DNA through a process of local mass action.
12 ities, the interaction was not due to simple mass action.
13 neutralization are the results of the law of mass action-a stochastic process of innumerable binding
14             For proof of concept, the steric mass action adsorption isotherm parameters of a binary t
15  treated starting from the well-known law of mass action although, in specific conditions, general eq
16 ed concentrations of enzymes and substrates (mass action), although this idea has not been widely tes
17 t, conventional methods rely upon the law of mass action and cannot measure many PPIs due to a scarci
18  reactions in condensates are accelerated by mass action and changes in substrate K(M), probaby due t
19 istic, computational model that accounts for mass action and competition.
20 that the isomerization reaction is driven by mass action and may occur via carbocation intermediate.
21 nt, suggesting that activation resulted from mass action and not effects on GTP binding/hydrolysis ra
22  interaction of the mutant eIF5 with eIF2 by mass action and restoring its defective interaction with
23 oining dendritic shaft, driven apparently by mass action and short-range lateral diffusion, and local
24 ches for engrafting stem cells are filled by mass action and that WBI, which serves to empty some of
25 ucose to stimulate its own disappearance via mass action and to a greater (P < 0.01) inhibitory effec
26         Despite the abundance of research on mass-action and network models, the relationship between
27 ent reduction in FRET signal consistent with mass-action and potency/affinity estimates for the pepti
28 language for describing enzyme kinetics in a mass action approximation.
29 how that assuming homogeneous contact rates (mass action), as is common of poliovirus forecast models
30 ration reactions by water through the law of mass action at high relative humidity.
31 owed by displacement of Ca(2+) with Na(+) by mass action at the moderately high NaCl concentration.
32                            Here we present a mass-action based formalism to quantify synergy.
33                             In such studies, mass-action-based kinetic models are used to analyze the
34 y between two cell groups using a simplified mass-action-based model, which incorporates the core int
35                                       We use mass-action-based models to show that regulated RNA degr
36 of systems consisting of series and parallel mass action binding reactions.
37     The necessary condition is applicable to mass action biological systems of arbitrary size, and wi
38  instead resides downstream, attributable to mass action by CRALBP, retinol dehydrogenase 5, and high
39                 The comparisons are based on mass action calculations and the behavior predicted from
40 that of a colonic crypt), a 2D lattice and a mass-action (complete graph) arrangement.
41 m as a regression over a large, but limited, mass-action constrained reaction space and utilize spars
42                   Using a simple bimolecular mass action controlled model to describe hybridization,
43                      Classic models, such as mass action (density-dependent) transmission, lump these
44 hat the FlbB tip-high gradient appears to be mass action dependent as the gradient is lost with FlbB
45        This restoration might be governed by mass action, determined by the binding affinities and co
46 dies derive estimates of transfer rates from mass-action differential equation models of plasmid popu
47 nd the results confirmed that this was not a mass action displacement.
48 th this conceptualization, we illustrate how mass action driven flux towards sources and sinks enable
49                                     A steric mass action dynamic affinity plot was constructed to val
50 en a predator-prey approach have used simple mass action dynamics to capture the interaction between
51                                          The mass action effect of anion binding and, foremost, of ph
52 e cAMP-induced dissociation results from the mass action effect of excess substrate and not from dire
53 marked up-regulation of the receptor, simple mass action effects were not the basis for ligand-induce
54 acts to limit myocardial ischemic injury via mass action effects.
55                         Interactions include mass-action, enzymatic, allosteric and connectionist mod
56 n rapid conversion of monomer to pentamer by mass action equilibria.
57 tor occupancy is studied here using a simple mass-action equilibrium model as well as a two-dimension
58  well described by a homogeneous, reversible mass-action equilibrium.
59 ing the allosteric pathway to completion via mass action, explaining how bacterial cells expressing t
60 ues of concentration and ionic strength, the mass action expression for the equilibrium has a particu
61 on to mineral surfaces, but variation in the mass action expression for these reactions has caused pe
62                                   The law of mass action for dilute solutions has taught us to use an
63 s-Menten kinetics, but require more detailed mass action formulations.
64 e, together with consideration of the law of mass action, further suggest that the mRNAs most substan
65 time-dependent sensitivities for Generalized Mass Action (GMA) systems, the most general of the canon
66 ion step in which a ligand binds, the law of mass action implies a forward rate proportional to ligan
67 the explicit and implicit role of the law of mass action in systems biology and reveals how the origi
68 al data and suggests a new interpretation of mass action in virus dynamics models.
69 eterministic nonlinear kinetics derived from mass action is recovered.
70 es the deterministic behavior and the law of mass action is replaced by a stochastic model.
71                                   The law of mass action is used to readily define the site densities
72                         By use of the law of mass action, it was calculated that half-maximal respons
73 s comprehensive model subsumes the available mass action kinetic data for the fusion of HA-expressing
74 zed using a recently published comprehensive mass action kinetic model for HA-mediated fusion.
75 ides has been analyzed using a comprehensive mass action kinetic model for hemaglutinin (HA)-mediated
76                                          The mass action kinetic model has been extended to allow the
77 anar bilayers, has been analyzed using a new mass action kinetic model.
78 his approach is compared to more traditional mass action kinetic models (in the form of coupled parti
79 ol or vehicle control were used to develop a mass-action kinetic model of ERalpha regulation.
80 n, we use experimental results to validate a mass-action kinetic model that may be used to predict as
81 earning, we searched the parameter spaces of mass-action kinetic models to identify classes of kineti
82  and includes BRI1-SERK interaction based on mass action kinetics and accurately describes wild-type
83                              MASSpy utilizes mass action kinetics and detailed chemical mechanisms to
84 act network decompositions based on both the mass action kinetics and informational properties of the
85      Using physics-based models that capture mass action kinetics consistent with the thermodynamics
86 rid framework combining Michaelis-Menten and mass action kinetics for the mitotic interacting reactio
87 n between protein and mRNA levels is poor, a mass action kinetics model parameterized using protein s
88                                 We develop a mass action kinetics model to estimate the rate of damag
89         When represented in this manner, the mass action kinetics of biochemical processes can be cle
90                     Employing a framework of mass action kinetics within a multiscale agent-based env
91 uid chromatography-tandem mass spectrometry, mass action kinetics, and inhibition equations.
92 ess, co-localize, and be explained by simple mass action kinetics, and more likely to contain protein
93 es of extremely complex networks, taken with mass action kinetics, cannot give rise to bistability no
94  optimum in diverse contexts when relying on mass action kinetics-based dynamics and parameter values
95 detailed distinctly mammalian model by using mass action kinetics.
96 ly on the structure of networks endowed with mass action kinetics.
97 namic constraints on their realization under mass action kinetics.
98 e temporal evolution of these networks using mass action kinetics.
99 presentations of the biological pathway with mass action kinetics.
100 g from post-translational modification under mass-action kinetics, allowing for multiple substrates,
101 compiler can translate networks comprised of mass-action kinetics, classic enzyme kinetics (Michaelis
102 wever, molecular networks give rise, through mass-action kinetics, to polynomial dynamical systems, w
103 s adsorption process is usually described by mass-action kinetics, which implicitly assume an equal i
104 atase-substrate system with two sites, under mass-action kinetics, with no restrictions on the order
105 method for stochastic reaction networks with mass-action kinetics.
106                                              Mass action law equations for ion-exchange reactions pre
107 e model represents a basic approach based on mass action law for simulation charge effects versus the
108 We find that the binding of both follows the mass action law.
109 odimers reversibly dissociate, following the mass action law.
110 troduced for the occurrence of a generalized mass-action law as a result of self-similar recycling.
111 show that some reactions cannot fit into the mass-action law paradigm and solutions to these systems
112 the median-effect equation, derived from the mass-action law principle, which is the unified theory t
113 processes, we obtain a corrected form of the mass-action law, where the concentrations are replaced b
114  large ensemble of particles is described by mass action laws.
115        This assumption leads to the familiar mass action-like encounter rate kinetics typically used
116  mM NaCl), NCP dissociation obeys the law of mass action, making it possible to calculate apparent eq
117 deling dyadic calcium dynamics using laws of mass action may be inappropriate.
118 ated lipids are primarily consumed through a mass-action mechanism with minimal competition within or
119  the gradient for refilling the ER through a mass-action mechanism.
120 olecules of CENP-A, which is controlled by a mass-action mechanism.
121    Thus, Ng may promote a high [Ca2+]i by a "mass-action" mechanism; namely, the higher the Ng concen
122 ettings by certain very simple and classical mass action mechanisms for enzyme catalysis of a single
123 y exclusive K types, including zeroth order, mass action, Michaelis-Menten, Hill kinetics, and others
124 sed on standard biochemical rate laws, e.g., mass-action, Michaelis-Menten, Hill).
125 rows, which represent reactions ranging from mass action, Michales-Menten-Henri (MMH) and Gene-Regula
126 ainst four alternative models, including the mass action model (which lumps exposure and susceptibili
127 tivity under some conditions, we developed a mass action model of TZ and PGK1 interactions using publ
128                                            A mass action model was further modified to account for th
129                      We fit the results to a mass action model where the rate of plasmid growth inclu
130 ng the latter behavior with a simple kinetic mass action model, a 2D dissociation constant of 1753 +/
131                   These data, supported by a mass action model, suggest sustained release at hair cel
132                      We found that a simpler mass-action model also performed well.
133 We introduce a procedure for deciding when a mass-action model is incompatible with observed steady-s
134 ated absorption time series, computed from a mass-action model of the chemistry, was analyzed by PCA
135              Here, we present a mathematical mass-action model to determine the optimal conditions fo
136 f ultrafast folders that joins a macroscopic mass-action model with a microscopic energy landscape de
137      We found that the generalization of the mass-action model, in which association and dissociation
138                          Based on the simple mass-action model, the contact parameter was 17% (95% co
139 quacy of the proposed generalizations of the mass-action model, which are meant to describe reactions
140 ed a computational procedure that integrated mass action modeling with particle swarm optimization to
141                                        These mass action models describe post-synthesis interactions
142 or signaling activity based on diffusion and mass action models, and maps it to intracellular targets
143 lytical expressions for the steady states of mass action models.
144 o approach that predicted from deterministic mass action models.
145 es in epidemiology) that are based on simple mass-action models (e.g., SIR models in epidemiology) bu
146       These findings help us understand when mass-action models and network models are expected to pr
147              Although the core assumption of mass-action models of homogeneously mixed population is
148 se equations offer advantages over classical mass-action models that combine these three processes in
149 ct parameter, estimated directly from simple mass-action models.
150 on a fully connected network and the classic mass-action models.
151 itrary networks to a form similar to that of mass-action models.
152 standing by spatial extension of traditional mass-action models.
153 t a theorem that distinguishes between those mass action networks that might support bistable behavio
154  and LGU are delayed to a similar degree; 2) mass action normalizes GDR and LGU in NIDDM, but only af
155 that phenotypic thresholds can be crossed by mass action of copy number changes that, on their own, a
156                                              Mass action of enhancer factor redistribution causes mom
157 the "few critical genes" hypothesis and the "mass action of genes" hypothesis.
158         In order to examine whether this was mass action or chemically selective displacement, an aff
159 id-binding protein may drive the reaction by mass action, overcoming the thermodynamically unfavorabl
160         The amplitude of electrically-evoked mass action potentials recorded in the spinal cord and b
161 lations beyond the capabilities of classical mass-action principles in modeling reaction kinetics.
162 differential equation model with generalized mass action rate laws when tested under realistic data s
163 omenological' model into a consistent set of mass-action rate laws that retains the desired bistabili
164 omputational cost than using the full set of mass-action rate laws.
165 esponse times; (3) the matrix ATP hydrolysis mass action ratio [ADP] x [Pi]/[ATP] provides feedback t
166 ns; control of the membrane potential by the mass-action ratio of ATP and voltage-dependent Ca2+ infl
167 ng the glucose-dependent increase of the ATP mass-action ratio; a Ca(2+)-independent glucose-induced
168 ive data were also used to calculate in vivo mass action ratios, reaction equilibria, and metabolite
169                         The Michaelis-Menten mass action reaction is used to model P-gp transport.
170 tecting switch-like bistable behavior in any mass action reaction network with conservation laws.
171 ping a general technique that applies to any mass action reaction network with conservation laws.
172  transcription at a given size is set by the mass action recruitment kinetics of unengaged nucleoplas
173                          A fit to the law of mass action reveals the dissociation constant of the bin
174 a chemically selective, rather than a steric mass action selective displacer.
175 smission, as well as traditional non-network mass-action simulations, can be performed using EpiFire.
176 an affinity ranking plot based on the Steric Mass Action (SMA) model was generated, and the results c
177 ped onto stoichiometric models, resulting in mass action stoichiometric simulation (MASS) models.
178                         Here, we present the Mass Action Stoichiometric Simulation Python (MASSpy) pa
179 modeled by equations derived from the law of mass action that included values for the maximum fractio
180                     We coupled ligation with mass action to achieve high-efficiency clamp attachment
181 demiological models that utilize the classic mass action transmission model might overestimate human
182 nship describing the expected departure from mass-action transmission in terms of the epidemiological
183 f theoretical models, leads to a generalized mass-action type kinetic law.
184 th transmembrane ligands based on the law of mass action using ordinary differential equations and ag
185                       By applying the law of mass action, utilizing a double-dosing method ensuring a
186 mical reactions are determined by the law of mass action, which has been successfully applied to homo
187                         These are the law of mass action, which holds that the binding of one molecul

 
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