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1 in the canonical pathways specific to immune system biology.
2 ches in tackling complex problems in nervous system biology.
3 hods for various tasks in bioinformatics and system biology.
4 is well aligned with the future direction in system biology.
5 modeling and analysis techniques employed in systems biology.
6  interactions (PPIs) is a central problem in systems biology.
7 on prospective prediction using the tools of systems biology.
8  topology is one of the fundamental goals of systems biology.
9 cture and dynamics is of central interest in systems biology.
10 ng factors on cell receptors and subcellular systems biology.
11 is key to targeted phenotyping techniques in systems biology.
12 ts represents one of the grand challenges of Systems Biology.
13 ) analysis constitutes a fundamental tool in systems biology.
14 ome an important part of modern genomics and systems biology.
15 ations is a popular approach in the field of systems biology.
16 ematical models in biology is referred to as systems biology.
17 od to address key questions in developmental systems biology.
18  interactions (PPIs) is a central problem in systems biology.
19 undamental part of the scientific process in systems biology.
20 omplex problems of long-standing interest in systems biology.
21 s an important open problem in computational systems biology.
22 challenge for experimental and computational systems biology.
23 ulatory networks (GRNs) is a new frontier in systems biology.
24 teractions constitutes a major bottleneck in systems biology.
25 the most valuable, but challenging, tasks in systems biology.
26 underlie development is a major question for systems biology.
27 ome an important part of modern genomics and systems biology.
28 g specialized knowledge of bioinformatics or systems biology.
29 a is a huge algorithmic challenge for modern systems biology.
30 ations is a popular approach in the field of Systems Biology.
31 reeding, molecular biology, biochemistry and systems biology.
32 tegy to analyze 'omics' data in the field of systems biology.
33 d has been widely studied as a core motif in systems biology.
34 insights presents a significant challenge in systems biology.
35 y, medical informatics, cancer genomics, and systems biology.
36 etworks are routinely used for prediction in systems biology.
37 ecome a part of the routine data analysis in systems biology.
38 rocesses, as well as cell-scale processes in systems biology.
39 ways and their crosstalk is a cornerstone of systems biology.
40           Networks have become ubiquitous in systems biology.
41 on in silico, with promising applications in systems biology.
42 sion and interaction data is a major goal of systems biology.
43 of scientific exploration at the frontier of systems biology.
44                                       Cancer systems biology aims to understand cancer as an integrat
45                                              Systems biology analyses identified multiple functional
46 iew, we survey exciting results derived from systems biology analyses of the immune system, ranging f
47 ed comprehensive transcriptome profiling and systems biology analysis to interrogate the unique and o
48  systems theory has been used previously for systems biology analysis, the current work illustrates i
49 gene regulatory networks enabling full-scale systems biology analysis.
50 ene expression studies in conjunction with a systems biology analysis.
51 to overcome target-based bottlenecks through systems biology analytics, such as protein-protein inter
52 inating cellular pathway for central nervous system biology and disease.
53  models are the cornerstone of computational systems biology and a key objective of computational sys
54                     Recent progress in plant systems biology and bioinformatics has begun to disentan
55 ntly advance both understanding of molecular systems biology and design of synthetic circuits.
56  basic research, genome analysis, modelling, systems biology and education.
57 uracy on numeric and real data examples from systems biology and epidemiology.
58 r metabolism is a major challenge in current systems biology and has triggered extensive metabolomics
59  advances in the fields of computational and systems biology and highlight opportunities for research
60 glected diseases, especially in the areas of systems biology and immunology; ecology, evolution, and
61 ntitative data-rich temporal experiments for systems biology and modeling approaches to better unders
62 ill be of great use to the wider biological, systems biology and modelling communities.
63 existing knowledge of COPD pathobiology, how systems biology and network medicine can improve underst
64 formation that existing technology provides (systems biology and network medicine) so diagnosis, stra
65 iverse networks holds enormous potential for systems biology and network pharmacology.
66  use of large linear and nonlinear models in systems biology and other applications involving multisc
67 s of the increasingly complex models used in systems biology and other areas.
68 table problem with important applications in systems biology and other domains.
69  They are expected to have a large effect on systems biology and personalized medicine approaches tha
70 d implicit role of the law of mass action in systems biology and reveals how the original, more gener
71 at integrate data from multiple experimental systems biology and structural biology sources.
72 ion of these circuits is a key topic of both systems biology and synthetic biology.
73 sed on the interdisciplinary field of cancer systems biology and the challenging cancer questions tha
74 e advent of different modeling formalisms in systems biology and their ability to be exchanged and re
75                    "Big Data" has surpassed "systems biology" and "omics" as the hottest buzzword in
76 he perspectives of digital and analog logic, systems biology, and metabolic engineering, three areas
77 tion, gene regulatory networks, modeling and systems biology, and synthetic biology.
78 advances in genomics, molecular biology, and systems biology, and will continue to accelerate as acce
79 exist, but have so far rarely been tested in systems biology applications.
80  highlighting the importance of a structural system biology approach for predicting the effect of SAV
81 ought stress in sunflower plants, by using a system biology approach.
82                                          Our systems biology approach allowed identification of conve
83 its organization and architecture, we took a systems biology approach and performed a semi-high-throu
84                                            A systems biology approach based on the assembly and inter
85                               We have used a systems biology approach based on whole-transcriptome ge
86 analysis demonstrates that the "multi-omics" systems biology approach can define the complex machiner
87                   In addition, an integrated systems biology approach can rank safety and efficacy me
88                  In this study, we adopted a systems biology approach employing proteomics (tandem ma
89        We therefore developed InFlo, a novel systems biology approach for characterizing complex biol
90                             Furthermore, our systems biology approach has uncovered an antiapoptotic
91 cs, genetics, and other omics platforms in a systems biology approach holds potential for elucidating
92            Our novel integrated human/murine systems biology approach identified commonly dysregulate
93 issue of the JCI, Grimm and colleagues use a systems biology approach in mice lacking the kinase SPAK
94 he promise of high-throughput "-omics"-based systems biology approach in providing greater insight to
95 ate tumor growth and provides a framework of systems biology approach in studying tumor-related immun
96                          Walsh et al. took a systems biology approach integrating computational, in v
97                                  Utilizing a systems biology approach integrating modeling and experi
98 rogeneity of asthma and allergic diseases, a systems biology approach is attractive, as it has the po
99 entering the era of personalized medicine, a systems biology approach merging the numerous clinical p
100                                          Our systems biology approach revealed that network dynamics
101                                            A systems biology approach reveals converging molecular me
102 both venous and arterial thrombosis, a Blood Systems Biology approach should provide metrics for rate
103                        We used an integrated systems biology approach that combines RNA interference
104                              Here, we used a systems biology approach to characterize the temperature
105                                Here we use a systems biology approach to comprehensively assess the c
106  study, the authors use for the first time a systems biology approach to comprehensively evaluate cli
107                               Here, we use a systems biology approach to construct a mathematical mod
108 ators of the immune system, and so we used a systems biology approach to construct an miRNA regulator
109                           Here we utilized a systems biology approach to decipher the regulatory prin
110 ide transcriptomics analysis combined with a systems biology approach to determine the molecular sign
111      Here, we have used a graph theory-based systems biology approach to determine topological proper
112                          Here we have used a systems biology approach to examine the interrelationshi
113 e thought to tackle this problem by taking a systems biology approach to identify candidate target ge
114              Our studies demonstrate a novel systems biology approach to identify functional signalin
115                                    We used a systems biology approach to identify host transcriptiona
116 le of disease on myelopoiesis, we utilized a systems biology approach to study development in liver-r
117                           Here, we applied a systems biology approach to study immune responses in su
118                                            A systems biology approach using contemporary technologies
119                                            A systems biology approach was developed in tomato (Solanu
120                   Here, a novel multi-tiered systems biology approach was used to predict metabolites
121                 To address this challenge, a systems biology approach was used.
122                                            A systems biology approach was used.
123                Here, we used an interspecies systems biology approach with Caenorhabditis elegans and
124 e outline the limitations of the small-scale systems biology approach with examples from research int
125 stressors are being developed that require a systems biology approach with more biologically accurate
126     To gain insight into this we undertook a systems biology approach, aiming to generate a Boolean m
127 oRNA-124 (miR-124), determined with a tiered systems biology approach, is responsible for increased e
128 wth after injury, we applied a comprehensive systems biology approach, starting with gene expression
129                         Using an integrative systems biology approach, we also revealed that M2 polar
130                                      Using a systems biology approach, we built a robust minimal comp
131 r a combination of three common POPs using a systems biology approach, which may link POP exposure to
132  and adverse events after severe trauma by a systems biology approach.
133 ticosteroid response in asthma using a novel systems biology approach.
134 l Acinetobacter strains using a genomics and systems biology approach.
135 -time protein-dendrimer interactions using a systems biology approach.
136 on sources was analysed, using an integrated systems biology approach.
137     We thus finally discuss the potential of systems-biology approach to predict its occurrence and t
138  about this plant, support the most advanced systems biology approaches among all land plants.
139                We conclude by discussing how systems biology approaches are a fruitful avenue for add
140                                              Systems biology approaches are helping to understand the
141                                        These systems biology approaches can be examined at different
142                           Bioinformatics and systems biology approaches identified potential pathways
143                         Recent studies using systems biology approaches in humans have revealed that
144 nformation that builds the basis for diverse systems biology approaches in neuroscience, from compara
145                           Thus, genome-scale systems biology approaches rigorously identify a functio
146 oaches that identify key organism traits and systems biology approaches that integrate traditional ph
147 rgets; and (4) to further the development of systems biology approaches to decipher the molecular mec
148                                              Systems biology approaches to defining how signal transd
149 obiome, and metabolome, providing fodder for systems biology approaches to examine asthma and allergy
150                                      We used systems biology approaches to explore the alternative hy
151                                       We use systems biology approaches to identify a unique IPF prot
152 l and diseased human kidney samples and used systems biology approaches to identify potentially causa
153 more efficient molecular, computational, and systems biology approaches to risk assessment.
154 ated is the parallel growth in computational systems biology approaches toward these same problems-pa
155    In this Pulmonary Perspective, we discuss systems biology approaches, especially but not limited t
156                                        Using systems biology approaches, we describe herein the enhan
157                                        Using systems biology approaches, we report that deletion of t
158 metabolic modeling and other nowadays common systems biology approaches-allowed them to anticipate th
159  serial integrated metabolomic and proteomic systems biology approaches.
160 ia has not been characterized extensively by systems biology approaches.
161     These data were deconvoluted using three systems biology approaches: "Orbital-deconvolution" eluc
162 sing vaccination as a model perturbation and systems-biology approaches are beginning to provide a gl
163                                              Systems-biology approaches in immunology take various fo
164            In this review, the principles of systems biology are described, and two different types o
165  metagenomics, proteomics, metabolomics, and systems biology are providing a new emphasis in research
166 nt research of the use of exosomal miRNA and systems biology as therapeutic strategies for the damage
167 arch, especially the study on organism-level systems biology at multiple levels.
168                                      Using a systems biology-based approach to an assessment of 779 p
169              Here we report application of a Systems Biology-based approach to dissect functionality
170 xpanding and more comprehensive use of large systems biology-based datasets.
171                               Here, we use a systems biology-based genome-scale model of metabolism a
172                        Overall, we show that Systems Biology-based methods have great promise for fun
173 enome annotation, genome analysis, modeling, systems biology, basic research and education.
174 ogy that results from disrupting the complex systems biology between the kidney, skeleton, and cardio
175                        Small-scale molecular systems biology, by which we mean the understanding of a
176                                  Advances in systems biology can be exploited to comprehensively unde
177 oles of quantitative proteomics in molecular systems biology, clinical research and personalized medi
178 ata, Operating procedures and Models for the Systems Biology community.
179 sets together, our system inferred the first systems-biology comprehensive dynamical model explaining
180 alance analysis (FBA), has become a standard systems-biology computational method to study cellular m
181 hus providing insight into the long-standing systems biology conundrum of how vascular invasion is co
182                                         This systems biology core proteome includes 212 genes not fou
183 s environmental and genetic backgrounds, the systems biology core proteome is significantly enriched
184  computational methodologies on a multilayer systems biology dataset composed of phosphoproteomics, t
185 al structural and functional features (i.e., systems biology) defines disease clustering (i.e., commo
186 y key fields in biology, including genomics, systems biology, development, medicine, evolution, ecolo
187 , immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental dete
188 , evolutionary mechanisms, neurobiology, and systems biology each has its ancestry in developmental b
189 chemical systems are common in computational systems biology, especially in the realm of cellular sig
190 n of different genomics datasets in a global Systems Biology fashion presents a more productive avenu
191                  Finally, the application of systems biology for analyzing global regulatory structur
192                          Here we present the System Biology Format Converter (SBFC), which provide a
193                         This work provides a systems biology framework for evaluating in vitro system
194 ociated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encycl
195 red five novel plant defense players using a systems biology-fueled top-to-bottom approach and demons
196 directing towards biological methods such as systems biology, genetic engineering and bio-refining fo
197                        A standard, named the Systems Biology Graphical Notation (SBGN), was recently
198 process these data and distill insights into systems biology has been an important part of the "big d
199                                              Systems biology has matured as a discipline, and its met
200         Recent work in ecology, climate, and systems biology has shown that slowing down of recovery
201 ematical models of metabolism from bacterial systems biology have proven their utility across multipl
202                                     Finally, systems biology identified unique metabolic versatility
203                      The growing interest in systems biology in executable models and their analysis
204 l gene expression, epigenetic profiling, and systems biology in increasing our understanding of the m
205  used for large-scale comparative studies in systems biology, including proteomics, glycomics and met
206                              We also discuss systems biology insights gleaned from the recent advance
207 tocols, interlink them in the context of the systems biology investigations that produced them, and t
208                                              Systems biology is an approach to understanding living s
209                                Developmental systems biology is poised to exploit large-scale data fr
210                         A major objective of systems biology is to organize molecular interactions as
211                         A grand challenge of systems biology is to predict the kinetic responses of l
212     An important and yet challenging task in systems biology is to reconstruct cellular signaling sys
213 es our understanding of pathogenicity at the systems biology level and provides enticing prospects fo
214 olite identification, and data analysis at a systems biology level.
215                 A community standard such as Systems Biology Markup Language (SBML) can serve as a ne
216 ficial pure Java programming library for the Systems Biology Markup Language (SBML) format, has evolv
217  how query results are converted back to the Systems Biology Markup Language (SBML) standard format.
218 ation and analysis of models expressed using Systems Biology Markup Language (SBML).
219  on system behaviour for models specified in Systems Biology Markup Language (SBML).
220  FBA (flux balance analysis), and supporting systems biology markup language and comma-separated valu
221 cific biochemical reactions from the curated systems biology markup language models contained in the
222            To help overcome this complexity, systems biology mathematical models have been generated
223          This knowledge can be obtained with systems biology/medicine approaches that account for the
224                                        Here, systems biology method of dynamics correlation network b
225 his complexity and adopting a combination of systems biology methods and integrated analyses to under
226                               Application of systems biology methods identified 17 candidate MetS gen
227 then expand on the potential applications of systems biology methods to study complex systems, within
228 vity information which is now available from systems biology methods.
229               Here, we build on our previous systems biology model of VEGF transport and kinetics in
230 cterial diet provide a powerful interspecies systems biology model that facilitates the precise delin
231 s a theoretical foundation for circuit-based systems biology modeling.
232                                              Systems biology models are often characterised as either
233                                              Systems biology models can be used to test new hypothese
234 eful to analyse complex and high dimensional Systems Biology models.
235                                In the era of systems biology, multi-target pharmacological strategies
236                                   Applying a systems biology network analysis approach to global gene
237 understanding of the functional genomics and systems biology of any process for any species.
238 nce insights into the structural biology and systems biology of cell signaling.
239              Moreover, it contributes to the systems biology of natural variation, as a substantial n
240 orts spread across Europe were combined with systems biology (omics, IgE measurement using microarray
241 ferentiation/development, tumorigenesis, and systems biology on a global, genome-wide level.
242  clustering approach taken from genomics and systems biology on two large independent cognitive datas
243                         This work provided a systems biology perspective on understanding the antibio
244 tomics and proteomics of tick tissues from a systems-biology perspective and discuss future challenge
245                           By integrating the systems biology perspectives with the classical disease
246 ity and has potential applications including systems biology, pharmacology, cancer diagnosis and stem
247               Lynx is a web-based integrated systems biology platform that supports annotation and an
248 g the past decade, with its breakthroughs in systems biology, precision medicine (PM) has emerged as
249                                       Modern systems biology requires extensive, carefully curated me
250 es a complex immune response that requires a systems biology research approach.
251                   A big challenge in current systems biology research arises when different types of
252 ccessible repository for storing and sharing systems biology research assets.
253 hms and computational framework will harness systems biology research because they efficiently transl
254 ecules produced within Metabolomics or other Systems Biology research contexts.
255 ome these limitations would fill the void in systems biology research, catalyze clinical innovations,
256 ty between formats is a recurring problem in systems biology research.
257 Trait Loci) datasets facilitate genetics and systems biology research.
258  GPCRs, so far underappreciated receptors in systems-biology research.
259 ity makes CauloBrowser a unique and valuable systems biology resource.
260                                              Systems biology rests on the idea that biological comple
261 enetics, robustness is also a key feature in systems biology, resulting from nonlinearities in quanti
262 ummarizing each pattern and for constructing systems biology simulations of cell behaviors.
263        For our searches, we used proprietary systems biology software (MetaCore/MetaDrug) to conduct
264 rmulated in terms of a well-known concept in systems biology, statistics, and control theory-that of
265        Our approach promotes a comprehensive systems biology strategy for the exploitation of high-th
266 abolism, BiGG Models will facilitate diverse systems biology studies and support knowledge-based anal
267                                    Recently, systems biology studies have produced rich collections o
268 ptome and fetal gene program will facilitate systems biology studies of dilated cardiomyopathy in zeb
269 ic resolving methods are facilitating unique systems biology studies of heterocellular communication.
270                            Recent efforts in systems biology studies of infectious diseases have resu
271 ing the reproducibility and impact of cancer systems biology studies will require widespread method a
272 torage and analytic problems for large-scale systems biology studies.
273                                              Systems-biology studies indicate that signaling networks
274 ative (ENEG) hepatitis phases-we performed a systems biology study.
275 rtance of heterocellular communication, most systems biology techniques do not report cell-specific s
276 nt developments in metabolic phenotyping and systems biology technologies and how these methodologies
277 chemistry, biochemistry, biomathematics, and systems biology that is difficult to overestimate.
278  tractable problem in molecular and cellular systems biology; the sequence of structural changes in s
279 ic dynamical models such as those studied in systems biology there is currently a great need for both
280 c, epigenetic, and endophenotype traits with systems biology to annotate genetic variants, and to fac
281  become one of the most challenging tasks in systems biology to automatically identify protein comple
282 , and highlight one potential application of systems biology to drug discovery and translational medi
283 ene-trap insertional mutagenesis testing and systems biology to identify new antiviral targets and dr
284 bled the fields of metabolic engineering and systems biology to make great strides in interrogating c
285 diators of epithelial dysfunction using both systems biology tools and causality-driven laboratory ex
286                                              Systems biology tools should be used to integrate and in
287 h-dimensional data and computation - defines systems biology, typically accompanied by some notion of
288 rk of a series of challenges designed by the systems biology verification for Industrial Methodology
289                                sbv IMPROVER (systems biology verification for Industrial Methodology
290  set enrichment as part of the sbv IMPROVER (systems biology verification in Industrial Methodology f
291                                     Taking a systems biology view we show how genetic and epigenetic
292 th profiles will contribute to more accurate systems biology views of asthma and allergy.
293 tailed serology, advanced FACS analysis, and systems biology, we discovered that aged subjects develo
294 applications in digital microfluidics and in systems biology where the kinetics response in the linea
295 eveloping a true understanding via molecular systems biology will require a fundamental rethinking of
296 ng can combine the advances in synthetic and systems biology with current cellular hosts to further p
297 e pathogenesis of MetS and demonstrates that systems biology with high-throughput sequencing is a pow
298 is an important and widely used algorithm in systems biology, with applications in protein function p
299       We need a holistic approach offered by systems biology, with integration of information on the
300 nstrate how EnsembleFBA can be included in a systems biology workflow by predicting essential genes i

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