What question did this study set out to answer?

The aim is to create biological activity profiles that differentiate between active and inactive molecules.

February 24, 1998Journal of Chemical Information and Computer Sciences

Identification of Biological Activity Profiles Using Substructural Analysis and Genetic Algorithms

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Authors

VGValerie J. GilletSheffield Hallam University PWPeter WillettUniversity of Sheffield JBJohn BradshawMassachusetts Institute of Technology

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Implication

Randomized trial identifies biological activity profiles in active compounds, suggesting effective discrimination between active and inactive molecules.

Key Points

The aim is to create biological activity profiles that differentiate between active and inactive molecules.
Utilized substructural analysis to analyze features in active and inactive compounds.
Calculated weights for features using genetic algorithms.
Applied methods to various datasets for validation.
Profiles successfully discriminated between active and inactive compounds.
Simple structural descriptors yielded effective identification.
Approach demonstrated versatility across different data sets.

Cite This Study

Gillet et al. (1998) studied this question.

synapsesocial.com/papers/6a2159216edeeecbd302fc57 https://doi.org/10.1021/ci970431+

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Implication

Randomized trial identifies biological activity profiles in active compounds, suggesting effective discrimination between active and inactive molecules.

Identification of Biological Activity Profiles Using Substructural Analysis and Genetic Algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

Identification of Biological Activity Profiles Using Substructural Analysis and Genetic Algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

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