戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (１語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 ethods to tease out imperfections in a given biological model.
2 tivated RAW 264.7 macrophages, selected as a biological model.
3 lation of Hif1a and Vegfa expression in this biological model.
4  agreement with previous results on the same biological model.
5 ry environment, they become less relevant as biological models.
6 the elucidation of gene function in numerous biological models.
7  both effectors and regulators of disease in biological models.
8 ity can be generalized to a broader range of biological models.
9 cteristics that cannot be linked to specific biological models.
10 and analysis that is customizable to various biological models.
11 thods and assess their value in some typical biological models.
12 ng of stripes and their function in numerous biological models.
13 hereinafter referred to as spheroids) are 3D biological models.
14 ove it is calibrated in a range of realistic biological models.
15  can derive actionable insights from complex biological models.
16 examine here their phototoxicity in relevant biological models.
17 for the scientific community to generate new biological models.
18 ificance and in providing more interpretable biological models.
19 rts using synthetic H2 S donors in different biological models.
20 ion integration environment for quantitative biological models.
21 pproach will have much wider applications in biological modeling.
22 otivation for leveraging qualitative data in biological modeling.
23 imary cells for therapeutic applications and biological modeling.
24 used in conjunction with other techniques of biological modeling.
25 the olfactory system an important system for biological modelling.
26 xt statements to create, import, and combine biological models, allowing complex models to be built f
27 can create a meta-model of a simulation of a biological model and link that meta-model to experiment
28 is often argued that this is not a realistic biological model and that epistasis (that is, the statis
29 his review, we discuss the theory underlying biological modeling and the process of producing a valua
30 proved by efficiently combining clinical and biological models and by broadening the risk spectrum to
31 nome sequencing, proteomics, patient-derived biological models and computer-based systems biology sim
32 ood glucose levels have been demonstrated in biological models and in clinical trials.
33 of very large, complex, multimodal data into biological models and mechanisms represents a considerab
34 research, being applicable across a range of biological models and not requiring genetic engineering.
35 siological O(2) fluxes in a wide spectrum of biological models and physiological responses.
36    It serves to aid the construction of cell biological models and the generation of simulations from
37 rived xenografts (PDXs), partially humanized biological models, and HER2-targeted imaging technologie
38 knowledge gaps, further inform refinement of biological models, and support new experimental and syst
39                          Coupled climate and biological modeling approaches applied in the water and
40                                          New biological models are being developed which explain caus
41                                         Most biological models are composed of point neurons and cann
42                                     Accurate biological models are critical to predict biotic respons
43                                          New biological models are incorporating the realistic proces
44 ygen radical absorbance capacity (ORAC), and biological model as 2,2'-azobis (2-aminopropane) dihydro
45                    Here we study a notorious biological model as exemplified by the sister relationsh
46 es can modulate tau aggregation in the slice biological model at concentrations well below those asso
47     Our results indicate that, when building biological models based on published experimental data,
48                          We chose TRAIL as a biological model because it inhibits activated lymphocyt
49              The structure and dynamics of a biological model bilayer are reported with atomic-scale
50 ubstrates of proteolytic enzymes in relevant biological models, both historical and focusing on state
51 mbrane machinery distinct from existing cell biological models but comparable with other free-living
52 d SMLM imaging to a broad range of available biological models, but also present unique insights into
53 ents and trace metals at basal levels in two biological models, cells of Chlamydomonas reinhardtii an
54                                         This biological model closely mimics the human setting and pe
55                        Bayesian inference in biological modeling commonly relies on Markov chain Mont
56  semantic annotation exists among the larger biological modeling community.
57 ur software is applicable to a wide range of biological models described as a hybrid system.
58                                              Biological models describing anaerobic digestion (AD) of
59                                         This biological model exhibits an odd sex determining system
60 r versatile approach is adaptable to various biological models, facilitating its broad application an
61  a useful tool that adapts to the underlying biological model for a disease by weighting appropriatel
62 erefore, developing an accurate and powerful biological model for bipolar disorder has been a challen
63 n the approach could serve as an explanatory biological model for development and drug treatment expe
64               Here, we outline a viable cell-biological model for generating synaptic specificity tha
65 red species of the genus, has been used as a biological model for in vitro studies.
66              Fish (n = 20) was selected as a biological model for physicochemically measuring proxima
67                           Here we identify a biological model for polaro-crypsis.
68 ivide through budding, providing a classical biological model for studying cellular aging.
69 olution of early cells and provide an extant biological model for studying this problem.
70 low the development of a proper physical and biological model for telomere subdynamics.
71 aken together, these findings provide a cell biological model for the role of this metallochaperone u
72                                      Thus, a biological model for toxicity and animal disease can be
73  future research in the domain of predictive biological modeling for siRNA.
74 e association studies and exploration of new biological models for allelic exclusion in the human gen
75  of known comorbidities, providing plausible biological models for such co-occurrences and effectivel
76 uently, CPGs have been suggested as valuable biological models for understanding of microcircuit dyna
77                       Evidence from multiple biological models, from stem cells to ex vivo biophysica
78                The concurrent revival of the biological model has led to postmodernist counter-reacti
79                  Previous studies in various biological models have shown that Tel2 mainly functions
80 igenic) stimulation in a multistate leukemia biological model (i.e., chronic lymphocytic leukemia).
81                                Here we use a biological model in which HOXB6 represses alpha- and gam
82 her, the exploration of OncoPPi led to a new biological model in which MKK3 operates by two distinct
83 els with few free parameters to more complex biological models in humans lies in constraining the mor
84 time and its activity was studied in several biological models including transiently or stably transf
85 g of nanotopological changes in a variety of biological models, including extracellular matrix (ECM)
86                                Various other biological models, including human keratinocytes (HaCaT)
87                        Among a wide range of biological models involving the independent ancestry of
88                         Constructing a large biological model is a difficult, error-prone process.
89                      Parameter estimation in biological models is a common yet challenging problem.
90 anism of action and potential for testing in biological models is fragmentary.
91 forming differential sensitivity analysis of biological models, it can be difficult to determine whic
92  climate-driven statistical, and mechanistic biological models, little work has been done to understa
93                            The complexity of biological models makes methods for their analysis and u
94  review, we distinguish between two types of biological models--mathematical and computational--which
95 ogically realistic stochastic models to test biological models more stringently and make predictions
96 g idea is that pregnancy represents a unique biological model of a naturally shared circulatory syste
97 ed with the surface, supporting a conceptual biological model of depth-dependent physiology.
98  and support the suitability of 22q11DS as a biological model of schizophrenia.
99    Taken together, these data provide a cell biological model of SOD1 biosynthesis that is consistent
100 iew, we first briefly review theoretical and biological models of addiction and then describe existin
101                      This paper examines two biological models of anticancer activity, cytotoxicity a
102                                         Some biological models of backpropagation rely on feedback pr
103  that 1) redundant pathways are prevalent in biological models of biochemical regulation, 2) the effe
104 o how wealth and socioeconomic status affect biological models of dementia, highlighting the biologic
105 t physical oceanographic models coupled with biological models of infectious agents can characterize
106 sted using the FRAP and DPPH assays, and two biological models of lipid oxidation (activity in preven
107 tially present an overview, which focuses on biological models of lymphatic networks within the breas
108                                              Biological models of obsessive-compulsive disorder propo
109 designs for better pragmatic and explanatory biological models of psychiatric disorders.
110  describe methods that can compare different biological models of recovery.
111 interpretation of pharmacological studies in biological models of tau aggregation.
112       Current chronological, behavioral, and biological models of this transitional period hinge on t
113 ed phenotyping will help build more specific biological models of variance in learning processes and
114 ing across multiple length scales, involving biological models of varying complexity, from cell compo
115 esearchers to quickly develop and simulate a biological model on a desktop or laptop, which can then
116 ns of simplified systems that can be used in biological models, or in the creation of advanced respon
117 ut direct measurements from individual small biological model organisms such as C. elegans or isolate
118 the effects of changing various physical and biological model parameters on the developing vascular a
119 alysis can provide chemical-level answers to biological model phenotypic responses as a rapid and cos
120 d to exploratory data- and hypothesis-driven biological modeling problems.
121 ulia libraries, and how existing open-source biological modeling projects have extended its intermedi
122                                  Integrative biological modeling requires software infrastructure to
123 igations comparing and contrasting different biological model scenarios and parameter variations.
124 ion of chemicals or drugs and has influenced biological model selection, concentration range, study d
125               Our experimental studies on 87 biological models show an average of 73% accuracy on per
126 re of CLINKs enable the creation of advanced biological models such as connected neural circuits and
127 bolite detectable by LC-MS/MS and in various biological models (such as mice).
128 e response in each organ assessed for all of biological models surveyed to date; however, the specifi
129                                 Experimental biological model system outcomes such as altered animal
130           After, frozen cryo-sections from a biological model system were measured by exploiting the
131 typic cortical cultures from rat brains as a biological model system, in which spontaneous neuronal a
132                          Using this powerful biological model system, we have discovered key pathways
133      The freshwater polyp Hydra is a popular biological model system; however, we still do not unders
134 profiling methods and three-dimensional (3D) biological model systems can potentially provide complex
135 age in the nucleus, has provided very useful biological model systems for the study of the function o
136 tions encompassed chemical, biochemical, and biological model systems generating C-centered radicals.
137 nt and regeneration is hampered by a lack of biological model systems that recapitulate key aspects o
138  of such a process benefits from appropriate biological model systems that reveal how and why certain
139 ion and localization of the nanoparticles in biological model systems were studied.
140 the key functional capabilities of important biological model systems while abstracting away from the
141 sing ongoing efforts and challenges to mimic biological model systems, with a particular focus on art
142 are readily applicable to a wide spectrum of biological model systems.
143 odel is translated directly into a plausible biological model testable by single-particle tracking.
144                      Our results suggest the biological model that high-affinity DNA binding by Teb1A
145  help guide the choices made when developing biological models that aim to characterize spatial-tempo
146 ssue, to the development of disease-specific biological models that recapitulate disease manifestatio
147                    Development of simplified biological models that would allow us to better understa
148 e in resources-from atlases and databases to biological models-that is progressively lifting the curt
149                                      Using a biological model (the mudskipper), a physical robot mode
150 hology, consistent with other MDRS-deficient biological models, thus providing a framework for the en
151              We can not only use the systems biological model to infer the stiffness associated genet
152              We can not only use the systems biological model to infer the stiffness-associated genet
153                     It provides an important biological model to investigate mechanisms underlying th
154             pBR322 plasmid DNA was used as a biological model to measure DNA damage in response to Ve
155 s may produce a more robust and standardised biological model to perform accurate clinical studies.
156 nitiating cells (MICs), we develop a systems biological model to reveal the dynamic regulations by in
157 nitiating cells (MICs), we develop a systems biological model to reveal the dynamic regulations by in
158  simple procedure (called varphi ) to reduce biological models to functional submodules, using statis
159 stituted an accessible, easily usable set of biological models to investigate cancer biology and expl
160 llular systems, demonstrating the breadth of biological models to which this combination of technique
161 ntrolling signal transduction; (ii) evolving biological modeling tools describing cellular circuits a
162                                    Moreover, biological models underpin each category uniquely and wi
163                                    A popular biological model used to study arrhythmogenesis is the c
164 city based on the assay results from all the biological models used in this study, whereas S-TiO2 was
165 riation in methods of exhaust generation and biological models used to assess responses.
166 tion with experimental data and diagrammatic biological models via the common underlying ALFA represe
167      Relative absorption, in chickens as the biological model, was determined by evaluating growth an
168       Using surrogate genetics in a powerful biological model, we dissect a poorly understood hypoxia
169    Using patient samples and orthotopic PDAC biological models, we showed that radiotherapy increased
170          These results are consistent with a biological model where the hallmark of nonresponders is
171 els to cooperatively drive computational and biological modeling, which together could eventually lea
172 icacy compared to PCFs, across the different biological models, which was attributed to its drainage
173 The zebrafish embryo is a highly interesting biological model with applications in different scientif
174                MVS set-point adaptation is a biological model with applications to basic neurophysiol
175                      This approach combining biological modeling with high-content imaging provides a
176 study integrates high-resolution thermal and biological modeling with techno-economic analysis and li
177 ol provides practitioners and researchers in biological modelling with a one-stop guide that is at th
178 tform for fast parametric space screening of biological models with user defined objectives.

 
Page Top