Literature DB >> 9237212

Assessing the ability of chemical similarity measures to discriminate between active and inactive compounds.

J S Delaney1.   

Abstract

A method for assessing the biological discriminating power of chemical similarity measures is presented. The main concern of this work was to develop an objective way of evaluating different similarity measures in terms of how well they distinguished between active and inactive compounds. In addition, we have explored the level of similarity required for optimal separation and commented on its implications for work in the field of chemical diversity studies. The results for one simple similarity measure showed that statistically significant separation could be achieved, and indicated a reasonable similarity value for future work.

Mesh:

Year:  1996        PMID: 9237212     DOI: 10.1007/bf01715525

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  1 in total

1.  Measuring diversity: experimental design of combinatorial libraries for drug discovery.

Authors:  E J Martin; J M Blaney; M A Siani; D C Spellmeyer; A K Wong; W H Moos
Journal:  J Med Chem       Date:  1995-04-28       Impact factor: 7.446

  1 in total
  9 in total

1.  SuperNatural: a searchable database of available natural compounds.

Authors:  Mathias Dunkel; Melanie Fullbeck; Stefanie Neumann; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

2.  SuperHapten: a comprehensive database for small immunogenic compounds.

Authors:  Stefan Günther; Dorothea Hempel; Mathias Dunkel; Kristian Rother; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2006-11-07       Impact factor: 16.971

3.  YaTCM: Yet another Traditional Chinese Medicine Database for Drug Discovery.

Authors:  Baiqing Li; Chunfeng Ma; Xiaoyong Zhao; Zhigang Hu; Tengfei Du; Xuanming Xu; Zhonghua Wang; Jianping Lin
Journal:  Comput Struct Biotechnol J       Date:  2018-11-23       Impact factor: 7.271

4.  Active Ingredients and Action Mechanisms of Yi Guan Jian Decoction in Chronic Hepatitis B Patients with Liver Fibrosis.

Authors:  Guangyao Li; Yuan Zhou; Daniel Man-Yuen Sze; Chao Liu; Qianru Zhang; Zihao Wang; Hua Yu; Ging Chan; Zhongdao Wu; Shibing Su; Yuanjia Hu
Journal:  Evid Based Complement Alternat Med       Date:  2019-09-03       Impact factor: 2.629

5.  Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments.

Authors:  Umit V Ucak; Islambek Ashyrmamatov; Junsu Ko; Juyong Lee
Journal:  Nat Commun       Date:  2022-03-04       Impact factor: 17.694

6.  SuperScent--a database of flavors and scents.

Authors:  Mathias Dunkel; Ulrike Schmidt; Swantje Struck; Lena Berger; Bjoern Gruening; Julia Hossbach; Ines S Jaeger; Uta Effmert; Birgit Piechulla; Roger Eriksson; Jette Knudsen; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2008-10-17       Impact factor: 16.971

7.  LigTMap: ligand and structure-based target identification and activity prediction for small molecular compounds.

Authors:  Faraz Shaikh; Hio Kuan Tai; Nirali Desai; Shirley W I Siu
Journal:  J Cheminform       Date:  2021-06-10       Impact factor: 5.514

8.  SuperPred: drug classification and target prediction.

Authors:  Mathias Dunkel; Stefan Günther; Jessica Ahmed; Burghardt Wittig; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2008-05-22       Impact factor: 16.971

9.  Super Natural II--a database of natural products.

Authors:  Priyanka Banerjee; Jevgeni Erehman; Björn-Oliver Gohlke; Thomas Wilhelm; Robert Preissner; Mathias Dunkel
Journal:  Nucleic Acids Res       Date:  2014-10-09       Impact factor: 16.971

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.