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Journal of Cheminformatics

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Featured article: Visualization of very large high-dimensional data sets as minimum spanning trees

The chemical sciences are producing an unprecedented amount of large, high-dimensional data sets containing chemical structures and associated properties. However, there are currently no algorithms to visualize such data while preserving both global and local features with a sufficient level of detail to allow for human inspection and interpretation. In their article, Probst & Reymond propose a solution to this problem with a new data visualization method, TMAP, capable of representing data sets of up to millions of data points and arbitrary high dimensionality as a two-dimensional tree. Visualizations based on TMAP are better suited than t-SNE or UMAP for the exploration and interpretation of large data sets due to their tree-like nature, increased local and global neighborhood and structure preservation, and the transparency of the methods the algorithm is based on. The authors apply TMAP to the most used chemistry data sets including databases of molecules such as ChEMBL, FDB17, the Natural Products Atlas, DSSTox, as well as to the MoleculeNet benchmark collection of data sets. They also show its broad applicability with further examples from biology, particle physics, and literature.

Articles

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2020

Citation Typing Ontology (CiTO) Pilot
Edited by Egon Willighagen
Collection published: 28 July 2020

2019

Big Data in Chemistry
Edited by Igor V. Tetko
Collection published: 8 August 2019

Proceedings of the 11th International Conference on Chemical Structures
Edited by Gerard van Westen and Markus Wagener
Collection published: 14 February 2019

Programming Languages for Chemical Information
Edited by Rajarshi Guha
Collection published: 5 February 2019

2018

BioCreative V.5
Edited by Martin Krallinger, Obdulia Rabal, Anália Lourenço, Alfonso Valencia
Collection published: 14 December 2018

Novel applications of machine learning in cheminformatics
Edited by Ola Spjuth
Collection published: 21 February 2018

2015

Cross journal collection
Jean-Claude Bradley Memorial Series
Edited by Andrew SID Lang, Antony Williams
Collection published: 22 March 2015

2013

6th Joint Sheffield Conference on Chemoinformatics
Collection published: 29 July 2013

2012

The IUPAC International Chemical Identifier (InChI) and its influence on the domain of chemical information
Edited by Antony Williams
Collection published: 13 December 2012

Semantic physical science
Edited by Henry Rzepa, Peter Murray-Rust
Collection published: 3 August 2012

2011

Visions of a semantic molecular future
Collection published: 14 October 2011

RDF technologies in chemistry
Edited by Egon Willighagen, Martin Paul Braendle
Collection published: 13 May 2011

PubChem3D
Collection published: 27 January 2011

2020

Adoption of the Citation Typing Ontology by the Journal of Cheminformatics
Egon Willighagen
28 July 2020

Learning cheminformatics
Rajarshi Guha & Egon Willighagen
20 January 2020

2019

Journal of Cheminformatics, ORCID, and GitHub
Egon Willighagen, Nina Jeliazkova & Rajarshi Guha
8 July 2019

Implementing cheminformatics
Rajarshi Guha
5 February 2019

2018

Novel applications of Machine Learning in cheminformatics
Ola Spjuth
6 September 2018

2017

Helping to improve the practice of cheminformatics
Rajarshi Guha & Egon Willighagen

2013

Cheminformatics for the masses: a chance to increase educational opportunities for the next generation of cheminformaticians
David J Wild
5 July 2013

2012

InChI: connecting and navigating chemistry
Antony J Williams
13 December 2012

Semantic physical science
Peter Murray-Rust & Henry S Rzepa
3 August 2012

2011

Semantic science and its communication - a personal view
Peter Murray-Rust
14 October 2011

Resource description framework technologies in chemistry
Egon L Willighagen & Martin P Brändle
13 May 2011

2009

Grand challenges for cheminformatics
David J Wild

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As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Aims and Scope

Journal of CheminformaticsJournal of Cheminformatics is an open-access journal publishing original peer-reviewed research in all aspects of cheminformatics and molecular modelling.

Read the full scope here.

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New Collection: Big Data in Chemistry

The increasing volume of biomedical data in chemistry and life sciences requires the development of new methodologies and approaches for their analysis. Artificial intelligence (AI) and machine learning, especially neural networks, are increasingly used in the chemical industry, in particular with respect to big data. The collection presents progress and exemplifies the current needs, trends and requirements for machine learning in chemical data analysis.

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We offer a free open access support service to make it easier for you to discover and apply for article-processing charge (APC) funding.

Learn more here.

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Editor profiles

Editors-in-Chief:

New Content ItemEgon Willighagen is a researcher in the BiGCaT Department for Bioinformatics and teacher at Maastricht University in the Netherlands.

New Content ItemRajarshi Guha is the Associate Director of Informatics at Vertex Pharmaceuticals where he leads the cheminformatics group that is responsible for informatics needs in high throughput screening.​​​​​​​

Associate Editor:

Nina Jeliazkova, Idea Consult Ltd., Bulgaria

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Journal of Cheminformatics

ISSN: 1758-2946

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