Next-generation technologies to enhance cellular signalling network models aimed at drug design

2011 ◽  
Vol 22 ◽  
pp. S16 ◽  
Author(s):  
James Bown
Keyword(s):  
Drug Design ◽  
Network Models ◽  
Next Generation ◽  
Cellular Signalling ◽  
Signalling Network

Novel Next-Generation Sequencing and Networks-Based Therapeutic Targets: Realistic and More Effective Drug Design and Discovery

2014 ◽  
Vol 20 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Dimitrios Roukos ◽  
Giannis Baltogiannis ◽  
Christos Katsouras ◽  
Aris Bechlioulis ◽  
Katerina Naka ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Drug Design ◽  
Therapeutic Targets ◽  
Effective Drug ◽  
Next Generation ◽  
Generation Sequencing

A global analysis of cross-talk in a mammalian cellular signalling network

2006 ◽  
Vol 8 (6) ◽  
pp. 571-580 ◽  
Author(s):  
Madhusudan Natarajan ◽  
Keng-Mean Lin ◽  
Robert C. Hsueh ◽  
Paul C. Sternweis ◽  
Rama Ranganathan
Keyword(s):  
Cross Talk ◽  
Global Analysis ◽  
Cellular Signalling ◽  
Signalling Network

Constructing a Foundational Platform Driven by Japan’s K Supercomputer for Next-Generation Drug Design

2014 ◽  
Vol 33 (11-12) ◽  
pp. 732-741 ◽  
Author(s):  
J. B. Brown ◽  
Masahiko Nakatsui ◽  
Yasushi Okuno
Keyword(s):  
Drug Design ◽  
Next Generation

Recent Advances on the Network Models in Target-based Drug Discovery

2018 ◽  
Vol 18 (13) ◽  
pp. 1031-1043 ◽  
Author(s):  
Wenying Yan ◽  
Daqing Zhang ◽  
Chen Shen ◽  
Zhongjie Liang ◽  
Guang Hu
Keyword(s):  
Drug Discovery ◽  
Drug Design ◽  
Biological Systems ◽  
Network Models ◽  
New Drugs ◽  
Proteomics Data ◽  
New Era ◽  
Protein Protein Interaction ◽  
Network Parameters ◽  
General Network

With the advancement of “proteomics” data and systems biology, new techniques are needed to meet the new era of drug discovery. Network theory is increasingly applied to describe complex biological systems, thus implying its essential roles in system-based drug design. In this review, we first summarized general network parameters used in describing biological systems, and then gave some recent applications of these network parameters as topological indices in drug design in terms of Protein Structure Networks (PSNs), Protein-Protein Interaction Networks (PPINs) including related structural PPINs, and Elastic Network Models (ENMs). These network models have enabled the development of new drugs relying on allosteric effects, describing anti-cancer targets, targeting hot spots and key proteins at the protein-protein interfaces and PPINs, and helped drug design by modulating conformational flexibility. Accordingly, we highlighted the integration of network models bringing new paradigms into the next-generation target-based drug discovery.

Computer‐aided drug design in new druggable targets for the next generation of immune‐oncology therapies

2018 ◽  
Vol 9 (3) ◽  
pp. e1397
Author(s):  
Rita C. Acúrcio ◽  
Anna Scomparin ◽  
Ronit Satchi‐Fainaro ◽  
Helena F. Florindo ◽  
Rita C. Guedes
Keyword(s):  
Drug Design ◽  
Next Generation ◽  
Computer Aided Drug Design ◽  
Computer Aided ◽  
Immune Oncology ◽  
Druggable Targets

Kinetics-Driven Drug Design Strategy for Next-Generation Acetylcholinesterase Inhibitors to Clinical Candidate

2021 ◽  
Vol 64 (4) ◽  
pp. 1844-1855
Author(s):  
Yu Zhou ◽  
Yan Fu ◽  
Wanchao Yin ◽  
Jian Li ◽  
Wei Wang ◽  
...  
Keyword(s):  
Drug Design ◽  
Acetylcholinesterase Inhibitors ◽  
Design Strategy ◽  
Next Generation ◽  
Clinical Candidate
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