Literature DB >> 13677485

C-QSAR: a database of 18,000 QSARs and associated biological and physical data.

Alka Kurup1.   

Abstract

The C-QSAR program is used to develop and search a database of over 18,000 equations that relate biological or physico-chemical properties of molecules to various molecular descriptors. The data used to derive the quantitative structure activity relationships (QSAR) are taken from various high quality journals. C-QSAR comprises two databases, one for structure-activity information biological systems (n = 9200) and the other for physical organic systems. Users can search the data in 20 different fields; for example by structure or substructure of the compounds involved, by the type of property correlated, by molecular properties, or by properties of the QSAR equation. Various ways in which information can be obtained is briefly discussed. Initially the database is often used for data mining, to search lead molecules, for substituent selection and "model mining" for lateral validation. The regression analysis is useful when the user wants to derive a new QSAR using his structures and activity data.

Mesh:

Year:  2003        PMID: 13677485     DOI: 10.1023/a:1025322008290

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  6 in total

Review 1.  Chem-bioinformatics and QSAR: a review of QSAR lacking positive hydrophobic terms.

Authors:  C Hansch; A Kurup; R Garg; H Gao
Journal:  Chem Rev       Date:  2001-03       Impact factor: 60.622

2.  Comparative Quantitative Structureminus signActivity Relationship Studies on Anti-HIV Drugs.

Authors:  Rajni Garg; Satya P. Gupta; Hua Gao; Mekapati Suresh Babu; Asim Kumar Debnath; Corwin Hansch
Journal:  Chem Rev       Date:  1999-12-08       Impact factor: 60.622

3.  Comparative QSAR: Toward a Deeper Understanding of Chemicobiological Interactions.

Authors:  Corwin Hansch; David Hoekman; Hua Gao
Journal:  Chem Rev       Date:  1996-05-09       Impact factor: 60.622

Review 4.  Chem-bioinformatics: comparative QSAR at the interface between chemistry and biology.

Authors:  Corwin Hansch; David Hoekman; A Leo; David Weininger; Cynthia D Selassie
Journal:  Chem Rev       Date:  2002-03       Impact factor: 60.622

5.  On the parametrization of the toxicity of organic chemicals to Tetrahymena pyriformis. The problem of establishing a uniform activity.

Authors:  Suresh Babu Mekapati; Corwin Hansch
Journal:  J Chem Inf Comput Sci       Date:  2002 Jul-Aug

Review 6.  Comparative QSAR and the radical toxicity of various functional groups.

Authors:  Cynthia D Selassie; Rajni Garg; Sanjay Kapur; Alka Kurup; Rajeshwar P Verma; Suresh Babu Mekapati; Corwin Hansch
Journal:  Chem Rev       Date:  2002-07       Impact factor: 60.622

  6 in total
  9 in total

1.  Outliers in SAR and QSAR: is unusual binding mode a possible source of outliers?

Authors:  Ki Hwan Kim
Journal:  J Comput Aided Mol Des       Date:  2007-03-03       Impact factor: 3.686

Review 2.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

Review 3.  In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

4.  Outliers in SAR and QSAR: 2. Is a flexible binding site a possible source of outliers?

Authors:  Ki Hwan Kim
Journal:  J Comput Aided Mol Des       Date:  2007-07-24       Impact factor: 3.686

Review 5.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 6.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

7.  Outliers in SAR and QSAR: 3. Importance of considering the role of water molecules in protein-ligand interactions and quantitative structure-activity relationship studies.

Authors:  Ki Hwan Kim
Journal:  J Comput Aided Mol Des       Date:  2021-03-13       Impact factor: 3.686

8.  Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods and applications.

Authors:  Mingzhu Zhao; Dongqing Wei
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

9.  Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods, and applications.

Authors:  Mingzhu Zhao; Qiang Zhou; Wanghao Ma; Dong-Qing Wei
Journal:  Evid Based Complement Alternat Med       Date:  2013-06-02       Impact factor: 2.629

  9 in total

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