Introduction on Systems Approaches to Leadership

2021 ◽  
Author(s):  
Barbara Kellerman
Keyword(s):  
Systems Approaches

Systems approaches to community problems

1971 ◽  
Author(s):  
Frank Baker ◽  
Nolan Penn ◽  
Dwight Harshbarger ◽  
Henry Wechsler ◽  
Denise Thum ◽  
...  
Keyword(s):  
Systems Approaches

Identification of Antineoplastic Targets with Systems Approaches, Using Resveratrol as an In-Depth Case Study

2017 ◽  
Vol 23 (32) ◽  
pp. 4773-4793 ◽  
Author(s):  
Nivedita Singh ◽  
Sherry Freiesleben ◽  
Olaf Wolkenhauer ◽  
Yogeshwer Shukla ◽  
Shailendra K. Gupta
Keyword(s):  
Drug Target ◽  
Complex Disease ◽  
Biological Targets ◽  
Systems Approaches ◽  
Anticancer Mechanism ◽  
Genetic And Environmental Factors ◽  
Key Steps ◽  
Network Approaches ◽  
Novel Drug

The identification and validation of novel drug–target combinations are key steps in the drug discovery processes. Cancer is a complex disease that involves several genetic and environmental factors. High-throughput omics technologies are now widely available, however the integration of multi-omics data to identify viable anticancer drug-target combinations, that allow for a better clinical outcome when considering the efficacy-toxicity spectrum, is challenging. This review article provides an overview of systems approaches which help to integrate a broad spectrum of technologies and data. We focus on network approaches and investigate anticancer mechanism and biological targets of resveratrol using reverse pharmacophore mapping as an in-depth case study. The results of this case study demonstrate the use of systems approaches for a better understanding of the behavior of small molecule inhibitors in receptor binding sites. The presented network analysis approach helps in formulating hypotheses and provides mechanistic insights of resveratrol in neoplastic transformations.

scholarly journals Systems approaches to modelling pathways and networks

2011 ◽  
Vol 10 (5) ◽  
pp. 266-279 ◽  
Author(s):  
T. Pfau ◽  
N. Christian ◽  
O. Ebenhoh
Keyword(s):  
Systems Approaches

scholarly journals A research agenda on systems approaches to infrastructure

2020 ◽  
Vol 37 (4) ◽  
pp. 214-233 ◽  
Author(s):  
Jennifer Whyte ◽  
Ana Mijic ◽  
Rupert J. Myers ◽  
Panagiotis Angeloudis ◽  
Michel-Alexandre Cardin ◽  
...  
Keyword(s):  
Research Agenda ◽  
Systems Approaches

scholarly journals Systems approaches to preventing transplanted cell death in cardiac repair

2008 ◽  
Vol 45 (4) ◽  
pp. 567-581 ◽  
Author(s):  
Thomas E. Robey ◽  
Mark K. Saiget ◽  
Hans Reinecke ◽  
Charles E. Murry
Keyword(s):  
Cell Death ◽  
Cardiac Repair ◽  
Systems Approaches

scholarly journals Taking sociality seriously: the structure of multi-dimensional social networks as a source of information for individuals

2012 ◽  
Vol 367 (1599) ◽  
pp. 2108-2118 ◽  
Author(s):  
Louise Barrett ◽  
S. Peter Henzi ◽  
David Lusseau
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Life ◽  
The Other ◽  
Feedback Process ◽  
Cognitive Evolution ◽  
Systems Approaches ◽  
Entropy Measures ◽  
Free Ranging ◽  
Source Of Information

Understanding human cognitive evolution, and that of the other primates, means taking sociality very seriously. For humans, this requires the recognition of the sociocultural and historical means by which human minds and selves are constructed, and how this gives rise to the reflexivity and ability to respond to novelty that characterize our species. For other, non-linguistic, primates we can answer some interesting questions by viewing social life as a feedback process, drawing on cybernetics and systems approaches and using social network neo-theory to test these ideas. Specifically, we show how social networks can be formalized as multi-dimensional objects, and use entropy measures to assess how networks respond to perturbation. We use simulations and natural ‘knock-outs’ in a free-ranging baboon troop to demonstrate that changes in interactions after social perturbations lead to a more certain social network, in which the outcomes of interactions are easier for members to predict. This new formalization of social networks provides a framework within which to predict network dynamics and evolution, helps us highlight how human and non-human social networks differ and has implications for theories of cognitive evolution.

Sign in / Sign up

Export Citation Format

Share Document