Drug Discovery: Exploring the Utility of Cluster Oriented Genetic Algorithms in Virtual Library Design

2005 ◽  
Author(s):  
B. Sharma ◽  
I. Parmee ◽  
M. Whittaker ◽  
A. Sedwell
Keyword(s):  
Genetic Algorithms ◽  
Drug Discovery ◽  
Virtual Library ◽  
Library Design ◽  
Virtual Library Design

Approaches to virtual library design

1998 ◽  
Vol 3 (6) ◽  
pp. 274-283 ◽  
Author(s):  
John H Van Drie ◽  
Michael S Lajiness
Keyword(s):  
Virtual Library ◽  
Library Design ◽  
Virtual Library Design

scholarly journals Identifying Promising Compounds in Drug Discovery: Genetic Algorithms and Some New Statistical Techniques.

ChemInform ◽  
2007 ◽  
Vol 38 (33) ◽  
Author(s):  
Abhyuday Mandal ◽  
Kjell Johnson ◽  
C. F. Jeff Wu ◽  
Dirk Bornemeier
Keyword(s):  
Genetic Algorithms ◽  
Drug Discovery ◽  
Statistical Techniques

The maturation of DNA encoded libraries: opportunities for new users

2020 ◽  
Author(s):  
Daniel Conole ◽  
James H Hunter ◽  
Michael J Waring
Keyword(s):  
Data Analysis ◽  
Cost Effectiveness ◽  
Drug Discovery ◽  
High Throughput ◽  
High Throughput Screening ◽  
New Technology ◽  
Combinatorial Libraries ◽  
Library Design ◽  
First Time ◽  
Screening Technology

DNA-encoded combinatorial libraries (DECLs) represent an exciting new technology for high-throughput screening, significantly increasing its capacity and cost–effectiveness. Historically, DECLs have been the domain of specialized academic groups and industry; however, there has recently been a shift toward more drug discovery academic centers and institutes adopting this technology. Key to this development has been the simplification, characterization and standardization of various DECL subprotocols, such as library design, affinity screening and data analysis of hits. This review examines the feasibility of implementing DECL screening technology as a first-time user, particularly in academia, exploring the some important considerations for this, and outlines some applications of the technology that academia could contribute to the field.

Library design using genetic algorithms for catalyst discovery and optimization

2005 ◽  
Vol 76 (6) ◽  
pp. 062208 ◽  
Author(s):  
Frederic Clerc ◽  
Mourad Lengliz ◽  
David Farrusseng ◽  
Claude Mirodatos ◽  
Sílvia R. M. Pereira ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Library Design
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