Literature DB >> 10761125

Flexsim-X: a method for the detection of molecules with similar biological activity

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Abstract

We describe the development of the method Flexsim-X, which can be used to detect molecules with similar biological activity. This procedure is based on comparing virtual affinity fingerprints made up from docking scores of the molecules with respect to a reference set of binding sites. Using a test data set consisting of ligands from five different activity classes and randomly chosen compounds, the reference panel of binding sites was optimized in terms of size and composition. Systematic approaches as well as genetic algorithm based (GA) optimization procedures have been evaluated. Additionally, the effectiveness of the method is illustrated.

Year:  2000        PMID: 10761125     DOI: 10.1021/ci990439e

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  4 in total

1.  Flexsim-R: a virtual affinity fingerprint descriptor to calculate similarities of functional groups.

Authors:  Alexander Weber; Andreas Teckentrup; Hans Briem
Journal:  J Comput Aided Mol Des       Date:  2002-12       Impact factor: 3.686

2.  QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction.

Authors:  Isidro Cortés-Ciriano; Ctibor Škuta; Andreas Bender; Daniel Svozil
Journal:  J Cheminform       Date:  2020-06-05       Impact factor: 5.514

3.  QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping.

Authors:  C Škuta; I Cortés-Ciriano; W Dehaen; P Kříž; G J P van Westen; I V Tetko; A Bender; D Svozil
Journal:  J Cheminform       Date:  2020-05-29       Impact factor: 5.514

4.  A similarity search using molecular topological graphs.

Authors:  Yoshifumi Fukunishi; Haruki Nakamura
Journal:  J Biomed Biotechnol       Date:  2009-12-13
  4 in total

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