Journal of Cheminformatics is an open-access journal publishing original peer-reviewed research in all aspects of cheminformatics and molecular modelling.
Welcome
Featured article - MolData, a molecular benchmark for disease and target based machine learning
Deep learning’s automatic feature extraction has been a revolutionary addition to computational drug discovery, infusing both the capabilities of learning abstract features and discovering complex molecular patterns via learning from molecular data. Since biological and chemical knowledge are necessary for overcoming the challenges of data curation, balancing, training, and evaluation, it is important for databases to contain information regarding the exact target and disease of each bioassay. The existing depositories such as PubChem or ChEMBL offer the screening data for millions of molecules against a variety of cells and targets, however, their bioassays contain complex biological descriptions which can hinder their usage by the machine learning community. In this work, a comprehensive disease and target-based dataset is collected from PubChem in order to facilitate and accelerate molecular machine learning for better drug discovery. MolData is one the largest efforts to date for democratizing the molecular machine learning, with roughly 170 million drug screening results from 1.4 million unique molecules assigned to specific diseases and targets. It also provides 30 unique categories of targets and diseases. Correlation analysis of the MolData bioassays unveils valuable information for drug repurposing for multiple diseases including cancer, metabolic disorders, and infectious diseases. Finally, the authors provide a benchmark of more than 30 models trained on each category using multitask learning. MolData aims to pave the way for computational drug discovery and accelerate the advancement of molecular artificial intelligence in a practical manner.
Featured Collection - In Silico Structure Generation: Recent Developments, Applications, and Challenges
This special collection showcases recent advances, applications, challenges in the enumeration of chemical structures: from the design to the analysis and use of either small, focused data sets, to large compound libraries. Analysis and handling of the newly constructed chemical structures include the storage, mining, integration of the constructed structures with other existing data sets, and curation.
Articles
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Designing optimized drug candidates with Generative Adversarial Network
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AMADAR: a python-based package for large scale prediction of Diels–Alder transition state geometries and IRC path analysis
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Commentary: the first twelve years of the Journal of Cheminformatics
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KNIME workflow for retrieving causal drug and protein interactions, building networks, and performing topological enrichment analysis demonstrated by a DILI case study
2021
Biomedical Data Analyses Facilitated by Open Cheminformatics Workflows
Edited by Eva Nittinger, Alex Clark, Anna Gaulton, Barbara Zdrazil
Started publishing: 2 July 2021
2020
In Silico Structure Generation: Recent Developments, Applications, and Challenges
Edited by José L. Medina-Franco, Emma Schymanski, Christoph Steinbeck
Started publishing: 27 October 2020
Citation Typing Ontology (CiTO) Pilot
Edited by Egon Willighagen
Started publishing: 28 July 2020
2019
Big Data in Chemistry
Edited by Igor V. Tetko
Started publishing: 8 August 2019
Proceedings of the 11th International Conference on Chemical Structures
Edited by Gerard van Westen and Markus Wagener
Started publishing: 14 February 2019
Programming Languages for Chemical Information
Edited by Rajarshi Guha
Started publishing: 5 February 2019
2018
BioCreative V.5
Edited by Martin Krallinger, Obdulia Rabal, Anália Lourenço, Alfonso Valencia
Started publishing: 14 December 2018
Novel applications of machine learning in cheminformatics
Edited by Ola Spjuth
Started publishing: 21 February 2018
2015
Cross journal collection
Jean-Claude Bradley Memorial Series
Edited by Andrew SID Lang, Antony Williams
Started publishing: 22 March 2015
2013
6th Joint Sheffield Conference on Chemoinformatics
Started publishing: 29 July 2013
2012
The IUPAC International Chemical Identifier (InChI) and its influence on the domain of chemical information
Edited by Antony Williams
Started publishing: 13 December 2012
Semantic physical science
Edited by Henry Rzepa, Peter Murray-Rust
Started publishing: 3 August 2012
2011
Visions of a semantic molecular future
Started publishing: 14 October 2011
RDF technologies in chemistry
Edited by Egon Willighagen, Martin Paul Braendle
Started publishing: 13 May 2011
PubChem3D
Started publishing: 27 January 2011
2022
Diversifying cheminformatics
Barbara Zdrazil and Rajarshi Guha
25 April 2022
2021
What is the role of cheminformatics in a pandemic?
Rajarshi Guha, Egon Willighagen, Barbara Zdrazil & Nina Jeliazkova
2 March 2021
2020
From Big Data to Artificial Intelligence: chemoinformatics meets new challenges
Igor V. Tetko & Ola Engkvist
18 December 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
Upcoming Special Issues
Learn more about open Calls for Papers and upcoming Special Issues here.
Benefit from our free funding service
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.
Featured collection - Biomedical Data Analyses Facilitated by Open Cheminformatics Workflows
Modern data science approaches aim to properly interconnect information in order to generate new knowledge and reveal hidden relationships in the data. The open data revolution has given users explicit rights, via open licenses, to download, curate, and reshare results, leading to a democratization of data. This collection focuses on cheminformatics workflows licensed with an OSI-approved or Creative Commons license, serving the curation and analysis of diverse life science data sets.
Citation Typing Ontology (CiTO) Pilot
The Journal of Cheminformatics is piloting use of the Citation Typing Ontology (CiTO) in its papers. Any author wishing to submit to the journal is free to participate in the pilot. To learn more about how, please click through to our dedicated page on the CiTO pilot and to see published papers already participating in the pilot.
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Speed (average)
47 days to first decision for reviewed manuscripts only
32 days to first decision for all manuscripts
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