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1 e widely different phenotypes clinically and biophysically.
2 pod crustaceans has been studied extensively biophysically.
3 ed the recombinant protein biochemically and biophysically.
4 haracterize its components biochemically and biophysically.
5  peptides have been thoroughly characterized biophysically.
6  conformation changes is not well understood biophysically.
7 trations and characterized biochemically and biophysically.
8  analyzing realistic synaptic integration in biophysically accurate neuronal models, I report a compl
9 aintained more of an rSP-C surfactant in the biophysically active form.
10 ung injury and the amount of large-aggregate biophysically active surfactant in adult lungs.
11                                          The biophysically altered dermis increased myofibroblast act
12 protein were made and were biochemically and biophysically analyzed.
13  timing in integrate-and-fire units and in a biophysically and anatomically detailed model of a corti
14                                  Here, using biophysically and anatomically realistic computational m
15 states and regulation within this family, we biophysically and biochemically characterized multiple E
16 r dynamics simulations (MD), we synthesized, biophysically and biochemically characterized, and studi
17  disorder symptomatology, there is a lack of biophysically and biochemically detailed models of these
18  through distinct vascular networks that are biophysically and biochemically entangled, creating comp
19                                   We compare biophysically and energetically the cellular responses t
20                       Libraries are screened biophysically and fragment:protein co-structures are det
21 though mammalian TRPM7 is well characterized biophysically and its pivotal role in cancer, ischemia a
22 mplexes of ERBB receptors have been observed biophysically and offer a theoretical route for ERBB2 ph
23 ition with each other, but how they interact biophysically and pathologically has been challenging to
24 apses formed by striatopallidal neurons were biophysically and pharmacologically heterogeneous.
25                                     Here, we biophysically and structurally characterize the full-len
26 d this phenomenon at the molecular level, we biophysically and structurally characterized these two m
27 ns to be tested biologically, biochemically, biophysically, and for use in structure-based drug desig
28 uromuscular junctions contain two spatially, biophysically, and pharmacologically distinct subtypes o
29  these proteins has been fully characterized biophysically, and thus the precise effects on molecular
30 s in our laboratory and therefore provides a biophysically based account of the underlying ionic curr
31  recent computational psychiatry advances in biophysically based circuit modeling can be leveraged to
32 we integrate brain-wide transcriptomics with biophysically based circuit modeling to simulate acute n
33                                     Detailed biophysically based compartmental models can help develo
34                                              Biophysically based computational modeling of the heart,
35 logical mechanisms underpinning contraction, biophysically based computational models are fitted to s
36 in vivo and in vitro experiments, as well as biophysically based computer models that have been used
37  such flexible behavior, we have developed a biophysically based decision-making network model of spi
38                             It provides: (a) biophysically based explanations of putative mechanisms
39       The link between experimental data and biophysically based mathematical models is key to comput
40                                 We develop a biophysically based model of the neurophonic that accoun
41  fear extinction during REM sleep, we used a biophysically based model that included the infralimbic
42                                      Using a biophysically based model, we show how top-down signals
43 successful elements of model translation for biophysically based models and the emerging supporting t
44  and discusses insights and predictions from biophysically based models.
45                                              Biophysically based multicompartmental models of princip
46 le-organ function, we have developed a novel biophysically based multiscale electromechanical model o
47 inical data on BG and PD to begin to build a biophysically based network model of pallidosubthalamic
48                                      Using a biophysically based network model of spiking neurons, we
49 dulate neuronal communication, we designed a biophysically based recurrent V1 and V4 cortical network
50                                 Here, we use biophysically based simulations to explore the possible
51                  Catch bond engineering is a biophysically based strategy to tune high-sensitivity TC
52                  Applying this approach to a biophysically based working memory model, we investigate
53 s may impair perceptual decision-making in a biophysically-based association cortical circuit model.
54                                        Using biophysically-based excitatory-inhibitory (E-I) neural n
55                   Previously, we developed a biophysically-based model of a binaural brainstem nucleu
56  models to investigate the dynamics of how a biophysically-based neuronal network model synchronizes
57 eceptor (LILR)B1 and LILRB2 immune receptors biophysically, biochemically, and by FACS staining.
58  and dynamic antero-posterior asymmetries to biophysically characterize both resiliency to laser pert
59                    Here, we structurally and biophysically characterize four antibodies that bind to
60                                     Here, we biophysically characterize proline-283 NP and serine-283
61                                     Here, we biophysically characterize the carboxyl-terminal domain
62                                     Here, we biophysically characterize the strength of the tip-link
63                                  Finally, we biophysically characterize two topologically interesting
64          Here, we recombinantly produced and biophysically characterized a homolog that comprises one
65 al heavy-light chain mAbs, we identified and biophysically characterized a novel single-domain antibo
66                    Here, we structurally and biophysically characterized an HNF-1A protein containing
67  channels remain among the least studied and biophysically characterized channels.
68 0-kDa protein that also binds heme, has been biophysically characterized for its tendency to form hig
69 y expressed recombinant protein fragment and biophysically characterized in comparison to its wild-ty
70                                      We also biophysically characterized one mutant from each of the
71                     Many investigations have biophysically characterized reconstituted cytosolic comp
72 s Hippo kinase and pathway activity, here we biophysically characterized the entire suite of SARAH do
73  previous observations, we biochemically and biophysically characterized the interaction between PC4
74 p104 as a novel tubulin-binding protein, and biophysically characterized the interaction of Cep104 wi
75           To do so, we have structurally and biophysically characterized the interaction of MerB with
76                                     Here, we biophysically characterized the NFkappaB p50/RelA hetero
77                                           We biophysically characterized these species with transmiss
78 e mutated proteins have been kinetically and biophysically characterized.
79  VGLUT1 and VGLUT2, were recently cloned and biophysically characterized.
80 expressed in Escherichia coli, purified, and biophysically characterized.
81 bes an optimized workflow for expressing and biophysically characterizing rationally engineered spike
82  with IMPs solvated by a compositionally and biophysically complex lipid matrix.
83           Nuclear mechanosensing encompasses biophysically complex pathways that often converge on th
84 xtracellular ion concentration dynamics in a biophysically consistent way.
85             Here, we construct a simplified, biophysically consistent, reaction-diffusion model of ch
86  interfaces as specialized compartments that biophysically constrain the arrangement and activity of
87                                      Using a biophysically constrained model of a network of spiking
88                         Our study presents a biophysically constrained model of how the interaction o
89                                              Biophysically constrained models of the complete feedbac
90  enhanced by cellular chaperones that assist biophysically defective clients in navigating complex fo
91 the electrical output of neurochemically and biophysically defined LH cells in mouse brain slices.
92 nic model where anergic B cells respond to a biophysically defined lysozyme epitope displayed on both
93       Most adaptive mutations in viruses are biophysically deleterious, resulting in a viral protein
94 ttle is known about how prior beliefs impact biophysically described processes in the presence of neu
95 els of abstraction-leaky integrate-and-fire, biophysically detailed and abstract binary-we show that
96                    Here we developed a novel biophysically detailed and data-constrained large-scale
97                       A previously developed biophysically detailed attractor network exhibits sponta
98                                   Using this biophysically detailed cohort of models we highlight the
99                               We have used a biophysically detailed compartmental model to investigat
100                                       In our biophysically detailed compartmental model, active dendr
101                               Here, we use a biophysically detailed computational model of the presyn
102                                      Using a biophysically detailed computational model, we were not
103 f Physiology in 1952, initiated the field of biophysically detailed computational modelling in neuros
104                                      Through biophysically detailed computer modelling, this study in
105 ace electrical potentials with a full-scale, biophysically detailed cortical column model.
106                            Here we present a biophysically detailed dynamical systems model for a WM
107 en the heart is paced at high rates, using a biophysically detailed electromechanical model of cardia
108                                            A biophysically detailed heart-torso model was generated f
109 gations were conducted using a population of biophysically detailed human models incorporating variab
110                                    We used a biophysically detailed human ventricular model to determ
111  precise timing of on- or offset, by using a biophysically detailed large-scale (19,600 model neurons
112 reactions in a consistent, quantitative, and biophysically detailed manner using a diverse set of exp
113 ach facilitates the use of biochemically and biophysically detailed mathematical models to describe a
114 we used data simulated with the large-scale, biophysically detailed model of mouse V1 developed by th
115                            Here, we create a biophysically detailed model of the BLA circuit to show
116                     In this study, we used a biophysically detailed model of the human atria and tors
117                   In this study we present a biophysically detailed model of the normal canine ventri
118 ion perform similarly to the best-performing biophysically detailed models of the auditory periphery,
119 tions at multiple levels of resolution, from biophysically detailed multi-compartmental, to point-neu
120                                  Utilizing a biophysically detailed multicompartmental model of an SP
121 des the first experimentally constrained and biophysically detailed muscle cell model of C. elegans,
122                                              Biophysically detailed neural models are a powerful tech
123                               Simulations of biophysically detailed neuron models show that frequency
124                                  Here, using biophysically detailed neuron models, we predict that to
125 d at two levels of granularity, using either biophysically detailed or point neurons.
126 ovides a flexible tool for biochemically and biophysically detailed simulations of different aspects
127                                              Biophysically detailed simulations of neuronal activity
128                                              Biophysically detailed simulations revealed that neurons
129 cale model of cardiac tissue incorporating a biophysically detailed three-dimensional model of the ve
130 re is an effort to build an anatomically and biophysically detailed virtual heart, and, although ther
131 nans (CDA) on arrhythmia susceptibility in a biophysically detailed, 3D computer model of the human a
132                      Here we used cohorts of biophysically detailed, multicompartmental models of rhe
133                                      Here, a biophysically detailed, thermodynamically consistent mod
134 of ion channel expression differences into a biophysically-detailed atrial action potential model res
135                            Simulations using biophysically-detailed cardiac myocyte models can reveal
136                                              Biophysically-detailed computational models of human atr
137                                        Using biophysically-detailed human atria computer models, this
138                    Computational modeling of biophysically-detailed human HFpEF SAN was created.
139 imulations using a human torso/biventricular biophysically-detailed model were conducted to quantify
140 lecular, electrophysiological, and in silico biophysically-detailed modeling approaches demonstrated
141 wever, the model neurons associated with the biophysically different phenotypes retained cell type sp
142      Here we systematically structurally and biophysically dissected myoc-OLF to better understand it
143                   WaTx stabilizes TRPA1 in a biophysically distinct active state characterized by pro
144         The NMDAR subunits NR2A and NR2B are biophysically distinct and differentially expressed duri
145 nt recordings, mIMCD-3 cells displayed three biophysically distinct Cl(-)-selective currents, which w
146 ow the presence of two pharmacologically and biophysically distinct Cl- currents that could be specif
147 e cells in the cat striate cortex in vivo, a biophysically distinct class of pyramidal neuron termed
148  CaM sample revealed the Na(V)1.5 channel is biophysically distinct from neuronal Na(V)1.2 as Ca(2+)
149 tion of spiny projection neurons composed of biophysically distinct GABAAfast and GABAAslow component
150                Neurons were divided into two biophysically distinct groups based on their frequency-d
151 ctivated PAH tetramer conformation, which is biophysically distinct in solution.
152                        Measurements of three biophysically distinct K(+) currents revealed a depolari
153 e present in BMs, creating biochemically and biophysically distinct structures that serve a wide vari
154 te that healthy and IPF airway epithelia are biophysically distinct, identifying pathologic activatio
155  muscarinic receptors selectively modulate a biophysically distinctive subtype of L-type Ca2+ channel
156   We approached this problem by simulating a biophysically diverse population of model neurons based
157 verning the targeting and insertion of these biophysically diverse proteins remain unknown.
158  showed that it is required for insertion of biophysically diverse tail-anchored (TA), signal-anchore
159 tural, functional, and thermal properties of biophysically dynamic samples is needed to address criti
160                          HSR condensates are biophysically dynamic spatiotemporal clusters of the seq
161  explore to what extent such compromises are biophysically essential or merely a product of the curre
162                                              Biophysically, even though neuronal fractional different
163                                      Using a biophysically explicit, multiscale model of olfactory bu
164                                  By unifying biophysically grounded circuit models, neuromorphic impl
165 e propose a CMOS circuit implementation of a biophysically grounded neuromorphic (iono-neuromorphic)
166 ly rich and structurally, evolutionarily and biophysically grounded.
167 aperones to promote the folding of otherwise biophysically incompetent viral proteins that enable inn
168 2A fusion proteins form condensates that are biophysically indistinguishable from NPM1c condensates.
169                           Here, we augment a biophysically informed mesoscale model of human cortical
170                        Using an established, biophysically informed model of a competitive attractor
171 lated a perturbation of neural dynamics in a biophysically informed model of decision-making through
172                             Simulations of a biophysically inspired model that accounts for the size
173 h, we therefore study the PS hypothesis in a biophysically inspired recurrent networks of spiking neu
174 tificial electrical circuit-based model as a biophysically inspired simulation demonstrates dynamic i
175          To fill this gap, we investigated a biophysically inspired, metaplastic synaptic model withi
176 d medial and lateral temporal cortices, were biophysically intact compared with those of control subj
177 tractility is a physiologically relevant and biophysically interesting process.
178 lding sequence-to-affinity models based on a biophysically interpretable and extensible model of prot
179                  (ii) Pseudo-energies remain biophysically interpretable and hold positional informat
180 ic receptors, thereby providing a universal, biophysically interpretable and predictive framework wit
181 listic machine learning algorithms, enabling biophysically interpretable inference from non-invasive
182 roduce an extensible reimplementation of our biophysically interpretable machine learning framework n
183              The framework offers a unified, biophysically interpretable mathematical structure to ca
184 r learning genotype-phenotype maps-including biophysically interpretable models-from MAVE datasets.
185 ately define such molecular recognition in a biophysically interpretable way for hundreds of TFs acro
186 sed from brain tumor cells are biochemically/biophysically like other exosomes and have immune-modula
187 t in plants, as in bacteria, crystallization biophysically limits polymerization.
188 ined by previous studies, which consider all biophysically low-quality land to be marginal without co
189 of nonmammalian VSPs have been characterized biophysically, mammalian VSPs are less well understood a
190                 Our model capably identifies biophysically meaningful point-mutant peptides that affe
191                                        Using biophysically measured FAS distributions and swelling si
192  demonstrate how models that are informed by biophysically measured protein dynamics broaden our unde
193 plasma as well as suggesting in general that biophysically mimetic chemistry is exploited in biology
194        To begin to explore this, we designed biophysically mimetic microfluidic reactors with charact
195 ery and measurement of animal electricity by biophysically minded physiologists.
196 ted stromal cells deposit, biochemically and biophysically modify, and degrade tumour-associated ECM.
197  of the velocity ODE, which allows solving a biophysically more accurate model in a fully Bayesian fa
198                                          Our biophysically motivated model provides a more comprehens
199 ng TF-DNA binding and for the development of biophysically motivated neural networks.
200                                        Using biophysically motivated neuron dynamics and local plasti
201                         We develop a pair of biophysically motivated ODE models of viral-host populat
202 yces cerevisiae, we have validated that this biophysically motivated use of evolutionary conservation
203                     In this work, we analyze biophysically-motivated subcircuit structures that repre
204 sistent with the activation process observed biophysically on the metabotropic glutamate receptor 2 h
205                                              Biophysically, our results suggest that the stabilities
206  these channels differ pharmacologically and biophysically, particularly in inactivation kinetics.
207                     Imbalanced plasticity is biophysically plausible and leads to more efficient syna
208 el using coupled leaky integrator units with biophysically plausible assumptions about the effect of
209  individual behavioral choices, we propose a biophysically plausible circuit arrangement in which an
210                         Thus, we show that a biophysically plausible circuit model can reconstruct co
211 le-cortex E/I ratio by fitting a large-scale biophysically plausible circuit model to resting-state f
212                           Our results give a biophysically plausible explanation of how a class of pr
213 wo-variable neural model offers a simple yet biophysically plausible framework for studying perceptua
214                                            A biophysically plausible implementation of such a first-i
215 parse coding hypothesis, when coupled with a biophysically plausible implementation, can provide a un
216 nal, synaptic and structural properties in a biophysically plausible layer 2/3 microcircuit model, bu
217                              Here we adapt a biophysically plausible model of decision-making to pred
218                                      Using a biophysically plausible model, we link these biases to s
219  new means of linking clinical symptoms with biophysically plausible models of neural circuitry and,
220                We investigated activity in a biophysically plausible network model that transforms in
221        We have reproduced this behavior in a biophysically plausible network model.
222  the spike-based approach can be extended to biophysically plausible networks.
223 resolves the challenging problem of building biophysically plausible spiking neural models that are a
224 g inhibitory interneurons that are much more biophysically plausible.
225 calmodulin dynamics within an idealised, but biophysically-plausible, dendritic spine, we show that S
226  lacuna, we constructed a novel large-scale, biophysically principled model of the subthalamopallidal
227                               We developed a biophysically realistic and detailed computational model
228 oding scheme based on network simulations of biophysically realistic compartmental models of VS cells
229                                          Our biophysically realistic computational model closely repl
230 ly, we created a neuroanatomically detailed, biophysically realistic computational model of hippocamp
231                               Next, we use a biophysically realistic computational model to explain t
232                                            A biophysically realistic computational model using data d
233 simonious hypothesis for this disruption via biophysically realistic computational modeling, namely c
234 d underlying neural dynamics, we developed a biophysically realistic computational SI model that cont
235 s of both sexes, and we stimulated them with biophysically realistic correlated inputs, generated usi
236 hanisms of decision making, I investigated a biophysically realistic cortical network model for a vis
237 gated a simplified two-variable version of a biophysically realistic cortical network model of decisi
238 n by analyzing the dynamics of a large-scale biophysically realistic cortical network model subjected
239 ties of the TBI-induced epileptogenesis in a biophysically realistic cortical network model with dyna
240                To this aim, we constructed a biophysically realistic excitatory-inhibitory network ab
241                                 We generated biophysically realistic fly photoreceptor models, which
242                  Learning is performed via a biophysically realistic learning rule that depends on sy
243           Our data enabled us to formulate a biophysically realistic mathematical model of Kiss1(ARH)
244                                     A novel, biophysically realistic model for early-stage, acetylcho
245                             Simulations of a biophysically realistic model of a cerebellar Purkinje c
246   To quantitatively examine this question, a biophysically realistic model of an idealized central ax
247             Backrubs can therefore provide a biophysically realistic model of local backbone flexibil
248 e, we develop an experimentally constrained, biophysically realistic model of neocortical microcircui
249                          We have developed a biophysically realistic model of receptor activation at
250 (A)-mediated excitation, we built a detailed biophysically realistic model of the CA1 pyramidal neuro
251 twork of spiking cortical cell models with a biophysically realistic model of the chemical synapse.
252 n, this information provides the basis for a biophysically realistic model of the circuit that comput
253                  Here, we use a large-scale, biophysically realistic model of the epileptic rat denta
254                           Here, we present a biophysically realistic model of Treg-mediated self-tole
255                              The result is a biophysically realistic model that suggests an improved
256 ther, our experimental data and results from biophysically realistic modeling support the idea that h
257                         In this study, using biophysically realistic models of the thalamocortical ne
258                      Therefore, we performed biophysically realistic multi-compartmental modelling of
259 g the memristors full potential for building biophysically realistic neural processing systems.
260 esent a systematic method to reduce complex, biophysically realistic neuron models to more tractable,
261                              In a network of biophysically realistic neuron models with context-indep
262                              By implementing biophysically realistic neuron models, we study how dend
263 , and the hippocampal formation, composed of biophysically realistic neurons and able to generate the
264 ever, traditional models of anatomically and biophysically realistic neurons are computationally dema
265 vity of intrinsic cortical connections among biophysically realistic neurons can account for some of
266 mulating rTMS-induced synaptic plasticity in biophysically realistic neurons exists.
267  as priors in Bayesian inference to estimate biophysically realistic parameter values based on dynami
268  cells, the channel must be tethered for all biophysically realistic parameters of the membrane.
269 nd corresponding stochastic simulations from biophysically realistic photoreceptor models.
270 he LTD-based recognition of PF patterns in a biophysically realistic Purkinje-cell model.
271 to human data to validate probable models of biophysically realistic SO.
272            Furthermore, our model provides a biophysically realistic solution to the MEG signal and c
273 ions of noisy and spiking neurons coupled by biophysically realistic synapses.
274  study shows that the fitness landscape of a biophysically realistic system is extremely complex, wit
275                                  Employing a biophysically realistic, computational model of SACs, wh
276                          Morphologically and biophysically realistic, computational models of octopus
277                                    We used a biophysically-realistic model of a TC relay neuron to si
278                          Functional forms of biophysically-realistic neuron models are constrained by
279                   Here, we present a simple, biophysically relevant model of retinal contrast adaptat
280                 In prior work, we considered biophysically relevant neuronal models to account for th
281 f sequence replay depends on a confluence of biophysically relevant parameters including stimulus dur
282 ithms to be designed to predict ensembles of biophysically relevant states.
283 i-anharmonic analysis (QAA), for identifying biophysically-relevant reaction coordinates and substate
284 N4 in these cells, and indicate that I(h) is biophysically similar in morphologically diverse retinal
285 eptors are shown to be pharmacologically and biophysically similar to 'classic' strychnine-sensitive,
286 Ca2+-selective conductance, I(ORCa), that is biophysically similar to TRPM7 currents.
287  of the most-xerophilic halophiles, inhabits biophysically stressful and energetically expensive, sal
288                               We developed a biophysically supported computational model for the rewi
289 ed evoked and miniature responses and verify biophysically that these changes correspond to an increa
290              In this study, we characterized biophysically the binding of S100A1, S100A2, S100A4, S10
291                                              Biophysically, these changes translate into an increase
292 ximately mm scale) and about 10(4)-fold more biophysically tough, while retaining a clonal multicellu
293 27) kHz, and we demonstrate that the ear was biophysically tuned to this signal and to providing hear
294                    The Antarctic seafloor is biophysically unique and the site of carbon sequestratio
295    The human mitochondrial outer membrane is biophysically unique as it is the only membrane possessi
296  an mGlu(2) or mGlu(3) NAM rapidly activated biophysically unique PFC pyramidal cell ensembles.
297 STP where we estimate the coupling term as a biophysically unrestrained function of the presynaptic i
298 APK pathway activation, unexpectedly forms a biophysically validated GRB2-MRE11 (GM) complex for effi
299 erase site of D-DT and its homologue MIF are biophysically very different, 4-iodo-6-phenylpyrimidine
300                      To test this hypothesis biophysically, we used small-angle X-ray scattering, ele

 
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