Literature DB >> 16177914

Chemoinformatics: a new field with a long tradition.

Johann Gasteiger1.   

Abstract

Chemoinformatics is the application of informatics methods to solve chemical problems. Although this term was introduced only a few years ago, this field has a long history with its roots going back more than 40 years. Work on chemical structure representation and searching, quantitative structure-activity relationships, chemometrics, molecular modeling as well as computer-assisted structure elucidation and synthesis design was initiated in the 1960s. These different origins have now merged into a discipline of its own that is in full bloom. All areas of chemistry from analytical chemistry to drug design can benefit from chemoinformatics methods. And there are still many challenging chemical problems waiting for solutions through the further development of chemoinformatics.

Mesh:

Year:  2005        PMID: 16177914     DOI: 10.1007/s00216-005-0065-y

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  15 in total

Review 1.  Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM).

Authors:  Michael Fernandez; Julio Caballero; Leyden Fernandez; Akinori Sarai
Journal:  Mol Divers       Date:  2010-03-20       Impact factor: 2.943

2.  A Nutrient-Regulated Cyclic Diguanylate Phosphodiesterase Controls Clostridium difficile Biofilm and Toxin Production during Stationary Phase.

Authors:  Erin B Purcell; Robert W McKee; David S Courson; Elizabeth M Garrett; Shonna M McBride; Richard E Cheney; Rita Tamayo
Journal:  Infect Immun       Date:  2017-08-18       Impact factor: 3.441

3.  QSAR models for predicting the activity of non-peptide luteinizing hormone-releasing hormone (LHRH) antagonists derived from erythromycin A using quantum chemical properties.

Authors:  Michael Fernández; Julio Caballero
Journal:  J Mol Model       Date:  2007-01-10       Impact factor: 1.810

Review 4.  Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progress.

Authors:  Alessio Andronico; Arlo Randall; Ryan W Benz; Pierre Baldi
Journal:  J Chem Inf Model       Date:  2011-03-18       Impact factor: 4.956

5.  Software platform virtualization in chemistry research and university teaching.

Authors:  Tobias Kind; Tim Leamy; Julie A Leary; Oliver Fiehn
Journal:  J Cheminform       Date:  2009-11-16       Impact factor: 5.514

Review 6.  Deep insights into Dictyocaulus viviparus transcriptomes provides unique prospects for new drug targets and disease intervention.

Authors:  Cinzia Cantacessi; Robin B Gasser; Christina Strube; Thomas Schnieder; Aaron R Jex; Ross S Hall; Bronwyn E Campbell; Neil D Young; Shoba Ranganathan; Paul W Sternberg; Makedonka Mitreva
Journal:  Biotechnol Adv       Date:  2010-12-22       Impact factor: 14.227

7.  A broadly cross-reactive monoclonal antibody against an epitope on the n-terminus of meningococcal fHbp.

Authors:  David M Vu; Rolando Pajon; Donald C Reason; Dan M Granoff
Journal:  Sci Rep       Date:  2012-03-28       Impact factor: 4.379

8.  Principal component analysis of the cytokine and chemokine response to human traumatic brain injury.

Authors:  Adel Helmy; Chrystalina A Antoniades; Mathew R Guilfoyle; Keri L H Carpenter; Peter J Hutchinson
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

9.  Monoclonal antibodies to meningococcal factor H binding protein with overlapping epitopes and discordant functional activity.

Authors:  Serena Giuntini; Peter T Beernink; Donald C Reason; Dan M Granoff
Journal:  PLoS One       Date:  2012-03-26       Impact factor: 3.240

Review 10.  Genome-scale models of bacterial metabolism: reconstruction and applications.

Authors:  Maxime Durot; Pierre-Yves Bourguignon; Vincent Schachter
Journal:  FEMS Microbiol Rev       Date:  2008-12-03       Impact factor: 16.408

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