Skip to content

Advertisement

Journal of Cheminformatics

Journal of Cheminformatics Cover Image

Articles

Sort by
Page 4 of 35

  3. Content type: Methodology

    Several web-based tools have been reported recently which predict the possible targets of a small molecule by similarity to compounds of known bioactivity using molecular fingerprints (fps), however predictio...

    Authors: Mahendra Awale and Jean-Louis Reymond

    Citation: Journal of Cheminformatics 2017 9:11

    Published on:

  4. Content type: Commentary

    The symbols for the new IUPAC elements named in November 2016 can introduce subtle ambiguities within cheminformatics software. The ambiguities are described and demonstrated by highlighting inconsistencies be...

    Authors: John W. Mayfield and Roger A. Sayle

    Citation: Journal of Cheminformatics 2017 9:10

    Published on:

  5. Content type: Preliminary communication

    Molecular fingerprints are widely used in several areas of chemoinformatics including diversity analysis and similarity searching. The fingerprint-based analysis of chemical libraries, in particular of large c...

    Authors: Eli Fernández-de Gortari, César R. García-Jacas, Karina Martinez-Mayorga and José L. Medina-Franco

    Citation: Journal of Cheminformatics 2017 9:9

    Published on:

  6. Content type: Research article

    A new metric for the evaluation of model performance in the field of virtual screening and quantitative structure–activity relationship applications is described. This metric has been termed the power metric a...

    Authors: Julio Cesar Dias Lopes, Fábio Mendes dos Santos, Andrelly Martins-José, Koen Augustyns and Hans De Winter

    Citation: Journal of Cheminformatics 2017 9:7

    Published on:

    The Commentary to this article has been published in Journal of Cheminformatics 2018 10:13

  8. Content type: Research article

    High-throughput computational materials design promises to greatly accelerate the process of discovering new materials and compounds, and of optimizing their properties. The large databases of structures and p...

    Authors: Sandip De, Felix Musil, Teresa Ingram, Carsten Baldauf and Michele Ceriotti

    Citation: Journal of Cheminformatics 2017 9:6

    Published on:

  9. Content type: Database

    Skin sensitization is an important toxicological endpoint for chemical hazard determination and safety assessment. Prediction of chemical skin sensitizer had traditionally relied on data from rodent models. Th...

    Authors: Chia-Chi Wang, Ying-Chi Lin, Shan-Shan Wang, Chieh Shih, Yi-Hui Lin and Chun-Wei Tung

    Citation: Journal of Cheminformatics 2017 9:5

    Published on:

  10. Content type: Research article

    The design and use of a metadata-driven data repository for research data management is described. Metadata is collected automatically during the submission process whenever possible and is registered with Dat...

    Authors: Matthew J. Harvey, Andrew McLean and Henry S. Rzepa

    Citation: Journal of Cheminformatics 2017 9:4

    Published on:

  11. Content type: Database

    Sigma (σ) receptors are accepted as a particular receptor class consisting of two subtypes: sigma-1 (σ1) and sigma-2 (σ2). The two receptor subtypes have specific drug actions, pharmacological profiles and molec...

    Authors: Giovanni Nastasi, Carla Miceli, Valeria Pittalà, Maria N. Modica, Orazio Prezzavento, Giuseppe Romeo, Antonio Rescifina, Agostino Marrazzo and Emanuele Amata

    Citation: Journal of Cheminformatics 2017 9:3

    Published on:

  12. Content type: Research article

    Molecular descriptors have been widely used to predict biological activities and physicochemical properties or to analyze chemical libraries on the basis of similarity. Although fingerprints and properties are...

    Authors: Masataka Kuroda

    Citation: Journal of Cheminformatics 2017 9:1

    Published on:

  13. Content type: Database

    Natural products have increasingly attracted much attention as a valuable resource for the development of anticancer medicines due to the structural novelty and good bioavailability. This necessitates a compr...

    Authors: Hwanho Choi, Sun Young Cho, Ho Jeong Pak, Youngsoo Kim, Jung-yun Choi, Yoon Jae Lee, Byung Hee Gong, Yeon Seok Kang, Taehoon Han, Geunbae Choi, Yeeun Cho, Soomin Lee, Dekwoo Ryoo and Hwangseo Park

    Citation: Journal of Cheminformatics 2017 9:2

    Published on:

  16. Content type: Research article

    Currently, monomeric fluorescent proteins (FP) are ideal markers for protein tagging. The prediction of oligomeric states is helpful for enhancing live biomedical imaging. Computational prediction of FP oligom...

    Authors: Saw Simeon, Watshara Shoombuatong, Nuttapat Anuwongcharoen, Likit Preeyanon, Virapong Prachayasittikul, Jarl E. S. Wikberg and Chanin Nantasenamat

    Citation: Journal of Cheminformatics 2016 8:72

    Published on:

  18. Content type: Research article

    Analysis of the 3D structures of protein–ligand binding sites can provide valuable insights for drug discovery. Binding site comparison (BSC) studies can be employed to elucidate the function of orphan protein...

    Authors: Joshua Meyers, Nathan Brown and Julian Blagg

    Citation: Journal of Cheminformatics 2016 8:70

    Published on:

  19. Content type: Methodology

    The ability to define the regions of chemical space where a predictive model can be safely used is a necessary condition to assure the reliability of new predictions. This implies that reliability must be dete...

    Authors: Natália Aniceto, Alex A. Freitas, Andreas Bender and Taravat Ghafourian

    Citation: Journal of Cheminformatics 2016 8:69

    Published on:

  20. Content type: Research Article

    The knowledge of drug metabolite structures is essential at the early stage of drug discovery to understand the potential liabilities and risks connected with biotransformation. The determination of the site o...

    Authors: Anastasia V. Rudik, Alexander V. Dmitriev, Alexey A. Lagunin, Dmitry A. Filimonov and Vladimir V. Poroikov

    Citation: Journal of Cheminformatics 2016 8:68

    Published on:

  21. Content type: Methodology

    Predictive modelling in drug discovery is challenging to automate as it often contains multiple analysis steps and might involve cross-validation and parameter tuning that create complex dependencies between ...

    Authors: Samuel Lampa, Jonathan Alvarsson and Ola Spjuth

    Citation: Journal of Cheminformatics 2016 8:67

    Published on:

  22. Content type: Methodology

    Three-dimensional (3D) printed crystal structures are useful for chemistry teaching and research. Current manual methods of converting crystal structures into 3D printable files are time-consuming and tedious....

    Authors: Vincent F. Scalfani, Antony J. Williams, Valery Tkachenko, Karen Karapetyan, Alexey Pshenichnov, Robert M. Hanson, Jahred M. Liddie and Jason E. Bara

    Citation: Journal of Cheminformatics 2016 8:66

    Published on:

  23. Content type: Software

    The spatial distribution of chemical elements in different types of samples is an important field in several research areas such as biology, paleontology or biomedicine, among others. Elemental distribution im...

    Authors: Hugo López-Fernández, Gustavo de S. Pessôa, Marco A. Z. Arruda, José L. Capelo-Martínez, Florentino Fdez-Riverola, Daniel Glez-Peña and Miguel Reboiro-Jato

    Citation: Journal of Cheminformatics 2016 8:65

    Published on:

  24. Content type: Research article

    Mining high-throughput screening (HTS) assays is key for enhancing decisions in the area of drug repositioning and drug discovery. However, many challenges are encountered in the process of developing suitabl...

    Authors: Othman Soufan, Wail Ba-Alawi, Moataz Afeef, Magbubah Essack, Panos Kalnis and Vladimir B. Bajic

    Citation: Journal of Cheminformatics 2016 8:64

    Published on:

  25. Content type: Methodology

    Measuring the structural diversity of compound databases is relevant in drug discovery and many other areas of chemistry. Since molecular diversity depends on molecular representation, comprehensive chemoinfor...

    Authors: Mariana González-Medina, Fernando D. Prieto-Martínez, John R. Owen and José L. Medina-Franco

    Citation: Journal of Cheminformatics 2016 8:63

    Published on:

Page 4 of 35
  • ISSN: 1758-2946
Submit a manuscript

Follow

2016 Journal Metrics

  • Speed
    42 days from submission to first decision
    15 days from acceptance to publication

    Usage 
    299,370 downloads
    1358.5 Usage Factor

    Social Media Impact
    1,717 mentions

  • More about our metrics

Latest Tweets

Advertisement