scholarly journals Implementation of Card: Curve-Fitting Allelochemical Response Data

2005 ◽  
Vol 3 (2) ◽  
pp. nonlin.003.02.0 ◽  
Author(s):  
De Li Liu ◽  
Min An
Keyword(s):  
Simple Model ◽  
Curve Fitting ◽  
Biological Processes ◽  
Response Data ◽  
Inhibition Response

Bioassay techniques are essential methods used to study the effects of allelochemicals on plant processes. It is often observed that the biological processes are stimulated at low allelochemical concentrations and inhibited as the concentrations increase. Liu et al., (2003) developed a simple model to fit this type of allelochemical response data. Based on the model, CARD (curve fitting allelochemical response data) was developed as a Windows based program that can be used to fit a stimulation-inhibition response data. An example of using CARD is given.

Biological processes in cold soils

Polar Record ◽  
1999 ◽  
Vol 35 (192) ◽  
pp. 5-10 ◽  
Author(s):  
Bernard Stonehouse
Keyword(s):  
Simple Model ◽  
High Altitude ◽  
Soil Formation ◽  
Natural Soil ◽  
Biological Processes ◽  
Seasonal Freezing

AbstractThis paper presents a simple model of processes by which soils develop in polar and high-altitude regions. It reviews influences of seasonal freezing, permafrost, and vegetation on soil formation; discusses recently formulated concepts of disturbance and damage; and draws attention to developments in remediation, especially possibilities for encouraging natural soil regeneration and rehabilitation processes.

scholarly journals A systems chemoproteomic analysis of acyl-CoA/protein interaction networks

2019 ◽  
Author(s):  
Michaella J. Levy ◽  
David C. Montgomery ◽  
Mihaela E. Sardiu ◽  
Sarah E. Bergholtz ◽  
Kellie D. Nance ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Binding Proteins ◽  
Protein Interaction Networks ◽  
Interaction Networks ◽  
Biological Processes ◽  
High Confidence ◽  
Acetyl Coa ◽  
High Throughput Analysis ◽  
Response Data ◽  
Novel Protein

SummaryAcyl-CoA/protein interactions are required for many functions essential to life including membrane synthesis, oxidative metabolism, and macromolecular acetylation. However, despite their importance, the global scope and selectivity of these protein-metabolite interactions remains undefined. Here we describe the development of CATNIP (CoA/AcetylTraNsferase Interaction Profiling), a chemoproteomic platform for the high-throughput analysis of acyl-CoA/protein interactions in endogenous proteomes. First, we apply CATNIP to identify acetyl-CoA-binding proteins through unbiased clustering of competitive dose-response data. Next, we use this method to profile diverse protein-CoA metabolite interactions, identifying biological processes susceptible to altered acetyl-CoA levels. Finally, we apply systems-level analyses to assess the features of novel protein networks that may interact with acyl-CoAs, and demonstrate a strategy for high-confidence proteomic annotation of acetyl-CoA binding proteins. Overall our studies illustrate the power of integrating chemoproteomics and systems biology, and provide a resource for understanding the roles of acyl-CoA metabolites in biology and disease.

Study on Global-Piecewise Fitting for Modal Parameter Identification

2014 ◽  
Vol 651-653 ◽  
pp. 2386-2389
Author(s):  
Feng Li Wang
Keyword(s):  
Curve Fitting ◽  
Polynomial Algorithm ◽  
Rational Fraction ◽  
Modal Parameter ◽  
Modal Parameter Identification ◽  
Response Data ◽  
Fitting Method ◽  
Simulation Results ◽  
Rational Fraction Polynomial ◽  
Fitting Model

Based on the global orthogonal polynomial algorithm, a global-piecewise fitting method for eliminating affections of modes outside of fitting bands is proposed. Both lower and higher modes outside of the fitting band are analyzed and processed. The frequency response data are revised by means of modes in two frequency bands close to the fitting band, and a curve fitting model is derived. Simulation results indicate that the proposed method possesses higher precision than the general rational fraction polynomial algorithm.

Topological spaces via phenotype–genotype spaces

2016 ◽  
Vol 09 (04) ◽  
pp. 1650054 ◽  
Author(s):  
M. M. El-Sharkasy ◽  
M. S. Badr
Keyword(s):  
Simple Model ◽  
Real World ◽  
Evolutionary Change ◽  
Topological Spaces ◽  
Biological Processes ◽  
Living Organisms ◽  
Carry Over

Researchers hope that establishing a notion of proximity using topology will help to clarify the biological processes underlying the evolution of living organisms. The simple model presented here, using RNA shapes, can carry over to more general and complex genotype–phenotype systems. Proximity is an important component of continuity, in both real-world and topological terms. Consequently, phenotype spaces provide an appropriate setting for modeling and investigating continuous and discontinuous evolutionary change.

Fluorescent potentiometric dyes for membrane-potential imaging

1994 ◽  
Vol 52 ◽  
pp. 166-167
Author(s):  
Leslie M. Loew
Keyword(s):  
Membrane Potential ◽  
Single Cells ◽  
Quantitative Imaging ◽  
Optical Recording ◽  
Biological Processes ◽  
Major Focus ◽  
The Past ◽  
Excitable Systems ◽  
Major Application ◽  
The Impact

A major application of potentiometric dyes has been the multisite optical recording of electrical activity in excitable systems. After being championed by L.B. Cohen and his colleagues for the past 20 years, the impact of this technology is rapidly being felt and is spreading to an increasing number of neuroscience laboratories. A second class of experiments involves using dyes to image membrane potential distributions in single cells by digital imaging microscopy - a major focus of this lab. These studies usually do not require the temporal resolution of multisite optical recording, being primarily focussed on slow cell biological processes, and therefore can achieve much higher spatial resolution. We have developed 2 methods for quantitative imaging of membrane potential. One method uses dual wavelength imaging of membrane-staining dyes and the other uses quantitative 3D imaging of a fluorescent lipophilic cation; the dyes used in each case were synthesized for this purpose in this laboratory.

Apoptosis and development

2003 ◽  
Vol 39 ◽  
pp. 11-24 ◽  
Author(s):  
Justin V McCarthy
Keyword(s):  
Drosophila Melanogaster ◽  
Mammalian Cells ◽  
Cell Number ◽  
Model Organisms ◽  
Biological Processes ◽  
Nematode Caenorhabditis Elegans ◽  
Apoptotic Pathway ◽  
Genetic Pathways ◽  
Evolutionarily Conserved ◽  
Multicellular Organisms

Apoptosis is an evolutionarily conserved process used by multicellular organisms to developmentally regulate cell number or to eliminate cells that are potentially detrimental to the organism. The large diversity of regulators of apoptosis in mammalian cells and their numerous interactions complicate the analysis of their individual functions, particularly in development. The remarkable conservation of apoptotic mechanisms across species has allowed the genetic pathways of apoptosis determined in lower species, such as the nematode Caenorhabditis elegans and the fruitfly Drosophila melanogaster, to act as models for understanding the biology of apoptosis in mammalian cells. Though many components of the apoptotic pathway are conserved between species, the use of additional model organisms has revealed several important differences and supports the use of model organisms in deciphering complex biological processes such as apoptosis.

A Dynamic Systems Approach to Personality

2001 ◽  
Vol 6 (3) ◽  
pp. 172-176 ◽  
Author(s):  
Lawrence A. Pervin
Keyword(s):  
Dynamic Systems ◽  
Systems Approach ◽  
Biological Processes ◽  
Recent Advances ◽  
Dynamic View ◽  
The Future ◽  
History Of

David Magnusson has been the most articulate spokesperson for a holistic, systems approach to personality. This paper considers three concepts relevant to a dynamic systems approach to personality: dynamics, systems, and levels. Some of the history of a dynamic view is traced, leading to an emphasis on the need for stressing the interplay among goals. Concepts such as multidetermination, equipotentiality, and equifinality are shown to be important aspects of a systems approach. Finally, attention is drawn to the question of levels of description, analysis, and explanation in a theory of personality. The importance of the issue is emphasized in relation to recent advances in our understanding of biological processes. Integrating such advances into a theory of personality while avoiding the danger of reductionism is a challenge for the future.

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