Chemistry Central Blog
Most accessed articles in September
Take a look at our ten most accessed articles for September.
The majority of the highly accessed articles last month were published in Journal of Cheminformatics, and include Shoba Ranganathan’s comparative analysis of pharmaceutically relevant datasets, as well as the most recent article by Evan Bolton and colleagues in the PubChem3D thematic series.
The most popular Chemistry Central Journal articles in September include two reviews published as part of the Peptide chemistry and medicinal application thematic series. These cover peptide synthesis methods using water instead of organic solvents, and recent experimental studies directed to the development of multiple antigen-presenting peptide vaccine systems.
1. Structural diversity of biologically interesting datasets: a scaffold analysis approach
Varun Khanna, Shoba Ranganathan
Journal of Cheminformatics 2011, 3:30 (8 August 2011)
2. Statistical filtering for NMR based structure generation
Jochen Junker
Journal of Cheminformatics 2011, 3:31 (11 August 2011)
3. Multiple search methods for similarity-based virtual screening: Analysis of search overlap and precision
John D Holliday, Evangelos Kanoulas, Nurul Malim, Peter Willett
Journal of Cheminformatics 2011, 3:29 (8 August 2011)
4. AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment
Jonna C Stålring, Lars A Carlsson, Pedro Almeida, Scott Boyer
Journal of Cheminformatics 2011, 3:28 (28 July 2011)
5. Development of a method for environmentally friendly chemical peptide synthesis in water using water-dispersible amino acid nanoparticles
Keiko Hojo, Asaki Hara, Hiroyuki Kitai, et al.
Chemistry Central Journal 2011, 5:49 (25 August 2011)
6. Current status of multiple antigen-presenting peptide vaccine systems: Application of organic and inorganic nanoparticles
Yoshio Fujita, Hiroaki Taguchi
Chemistry Central Journal 2011, 5:48 (23 August 2011)
7. Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions
Peter Ertl, Ansgar Schuffenhauer
Journal of Cheminformatics 2009, 1:8 (10 June 2009)
8. Data governance in predictive toxicology: A review
Xin Fu, Anna Wojak, Daniel Neagu, Mick Ridley, Kim Travis
Journal of Cheminformatics 2011, 3:24 (13 July 2011)
9. Cacao seeds are a "Super Fruit": A comparative analysis of various fruit powders and products
Stephen J Crozier, Amy G Preston, Jeffrey W Hurst, et al.
Chemistry Central Journal 2011, 5:5 (7 February 2011)
10. PubChem3D: A new resource for scientists
Evan E Bolton, Jie Chen, Sunghwan Kim, et al.
Journal of Cheminformatics 2011, 3:32 (20 September 2011)
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