Example of Journal of Cheminformatics format
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Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format
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Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format Example of Journal of Cheminformatics format
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open access Open Access
recommended Recommended

Journal of Cheminformatics — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Library and Information Sciences #6 of 235 up up by 3 ranks
Computer Graphics and Computer-Aided Design #7 of 88 up up by 1 rank
Computer Science Applications #52 of 693 up up by 3 ranks
Physical and Theoretical Chemistry #14 of 169 up up by 16 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 270 Published Papers | 2569 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 30/06/2020
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Related Journals

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Quality:  
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CiteRatio: 8.6
SJR: 0.53
SNIP: 2.363
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American Chemical Society

Quality:  
High
CiteRatio: 9.3
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

5.318

28% from 2018

Impact factor for Journal of Cheminformatics from 2016 - 2019
Year Value
2019 5.318
2018 4.154
2017 3.893
2016 4.22
graph view Graph view
table view Table view

9.5

22% from 2019

CiteRatio for Journal of Cheminformatics from 2016 - 2020
Year Value
2020 9.5
2019 7.8
2018 7.6
2017 6.6
2016 6.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 28% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 22% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.35

6% from 2019

SJR for Journal of Cheminformatics from 2016 - 2020
Year Value
2020 1.35
2019 1.43
2018 1.499
2017 1.203
2016 1.511
graph view Graph view
table view Table view

1.744

13% from 2019

SNIP for Journal of Cheminformatics from 2016 - 2020
Year Value
2020 1.744
2019 1.541
2018 1.464
2017 1.289
2016 1.363
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 6% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 13% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Cheminformatics

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Springer

Journal of Cheminformatics

Journal of Cheminformatics is an open access journal publishing original peer-reviewed research in all aspects of cheminformatics and molecular modelling. Coverage includes, but is not limited to: chemical information systems, software and databases, and molecular modelling; c...... Read More

Library and Information Sciences

Computer Graphics and Computer-Aided Design

Computer Science Applications

Physical and Theoretical Chemistry

Social Sciences

i
Last updated on
30 Jun 2020
i
ISSN
1758-2946
i
Impact Factor
High - 1.334
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent con-version. Phys Rev B. 1982;25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1186/1758-2946-3-33
Open Babel: An open chemical toolbox

Abstract:

A frequent problem in computational modeling is the interconversion of chemical structures between different formats. While standard interchange formats exist (for example, Chemical Markup Language) and de facto standards have arisen (for example, SMILES format), the need to interconvert formats is a continuing problem due to... A frequent problem in computational modeling is the interconversion of chemical structures between different formats. While standard interchange formats exist (for example, Chemical Markup Language) and de facto standards have arisen (for example, SMILES format), the need to interconvert formats is a continuing problem due to the multitude of different application areas for chemistry data, differences in the data stored by different formats (0D versus 3D, for example), and competition between software along with a lack of vendor-neutral formats. We discuss, for the first time, Open Babel, an open-source chemical toolbox that speaks the many languages of chemical data. Open Babel version 2.3 interconverts over 110 formats. The need to represent such a wide variety of chemical and molecular data requires a library that implements a wide range of cheminformatics algorithms, from partial charge assignment and aromaticity detection, to bond order perception and canonicalization. We detail the implementation of Open Babel, describe key advances in the 2.3 release, and outline a variety of uses both in terms of software products and scientific research, including applications far beyond simple format interconversion. Open Babel presents a solution to the proliferation of multiple chemical file formats. In addition, it provides a variety of useful utilities from conformer searching and 2D depiction, to filtering, batch conversion, and substructure and similarity searching. For developers, it can be used as a programming library to handle chemical data in areas such as organic chemistry, drug design, materials science, and computational chemistry. It is freely available under an open-source license from http://openbabel.org . read more read less

Topics:

Cheminformatics (54%)54% related to the paper, Chemical Markup Language (54%)54% related to the paper, File format (51%)51% related to the paper, Canonicalization (51%)51% related to the paper
View PDF
6,040 Citations
open accessOpen access Journal Article DOI: 10.1186/1758-2946-4-17
Avogadro: an advanced semantic chemical editor, visualization, and analysis platform

Abstract:

The Avogadro project has developed an advanced molecule editor and visualizer designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible, high quality rendering, and a powerful plugin architecture. Typical uses include building molec... The Avogadro project has developed an advanced molecule editor and visualizer designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible, high quality rendering, and a powerful plugin architecture. Typical uses include building molecular structures, formatting input files, and analyzing output of a wide variety of computational chemistry packages. By using the CML file format as its native document type, Avogadro seeks to enhance the semantic accessibility of chemical data types. The work presented here details the Avogadro library, which is a framework providing a code library and application programming interface (API) with three-dimensional visualization capabilities; and has direct applications to research and education in the fields of chemistry, physics, materials science, and biology. The Avogadro application provides a rich graphical interface using dynamically loaded plugins through the library itself. The application and library can each be extended by implementing a plugin module in C++ or Python to explore different visualization techniques, build/manipulate molecular structures, and interact with other programs. We describe some example extensions, one which uses a genetic algorithm to find stable crystal structures, and one which interfaces with the PackMol program to create packed, solvated structures for molecular dynamics simulations. The 1.0 release series of Avogadro is the main focus of the results discussed here. Avogadro offers a semantic chemical builder and platform for visualization and analysis. For users, it offers an easy-to-use builder, integrated support for downloading from common databases such as PubChem and the Protein Data Bank, extracting chemical data from a wide variety of formats, including computational chemistry output, and native, semantic support for the CML file format. For developers, it can be easily extended via a powerful plugin mechanism to support new features in organic chemistry, inorganic complexes, drug design, materials, biomolecules, and simulations. Avogadro is freely available under an open-source license from http://avogadro.openmolecules.net . read more read less

Topics:

Molecule editor (56%)56% related to the paper, Application programming interface (53%)53% related to the paper, Visualization (50%)50% related to the paper
View PDF
5,816 Citations
open accessOpen access Journal Article DOI: 10.1186/1758-2946-6-13
TCMSP: a database of systems pharmacology for drug discovery from herbal medicines.
Jinlong Ru1, Peng Li1, Wang Jinan1, Wei Zhou1, Bohui Li1, Chao Huang1, Pidong Li1, Zihu Guo1, Weiyang Tao1, Yinfeng Yang2, Xue Xu1, Yan Li2, Yonghua Wang1, Ling Yang3

Abstract:

Modern medicine often clashes with traditional medicine such as Chinese herbal medicine because of the little understanding of the underlying mechanisms of action of the herbs. In an effort to promote integration of both sides and to accelerate the drug discovery from herbal medicines, an efficient systems pharmacology platfo... Modern medicine often clashes with traditional medicine such as Chinese herbal medicine because of the little understanding of the underlying mechanisms of action of the herbs. In an effort to promote integration of both sides and to accelerate the drug discovery from herbal medicines, an efficient systems pharmacology platform that represents ideal information convergence of pharmacochemistry, ADME properties, drug-likeness, drug targets, associated diseases and interaction networks, are urgently needed. The traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) was built based on the framework of systems pharmacology for herbal medicines. It consists of all the 499 Chinese herbs registered in the Chinese pharmacopoeia with 29,384 ingredients, 3,311 targets and 837 associated diseases. Twelve important ADME-related properties like human oral bioavailability, half-life, drug-likeness, Caco-2 permeability, blood-brain barrier and Lipinski’s rule of five are provided for drug screening and evaluation. TCMSP also provides drug targets and diseases of each active compound, which can automatically establish the compound-target and target-disease networks that let users view and analyze the drug action mechanisms. It is designed to fuel the development of herbal medicines and to promote integration of modern medicine and traditional medicine for drug discovery and development. The particular strengths of TCMSP are the composition of the large number of herbal entries, and the ability to identify drug-target networks and drug-disease networks, which will help revealing the mechanisms of action of Chinese herbs, uncovering the nature of TCM theory and developing new herb-oriented drugs. TCMSP is freely available at http://sm.nwsuaf.edu.cn/lsp/tcmsp.php . read more read less

Topics:

Systems pharmacology (61%)61% related to the paper, Modern medicine (54%)54% related to the paper, Drug discovery (51%)51% related to the paper
View PDF
2,451 Citations
open accessOpen access Journal Article DOI: 10.1186/1758-2946-1-8
Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions
Peter Ertl1, Ansgar Schuffenhauer1

Abstract:

A method to estimate ease of synthesis (synthetic accessibility) of drug-like molecules is needed in many areas of the drug discovery process. The development and validation of such a method that is able to characterize molecule synthetic accessibility as a score between 1 (easy to make) and 10 (very difficult to make) is des... A method to estimate ease of synthesis (synthetic accessibility) of drug-like molecules is needed in many areas of the drug discovery process. The development and validation of such a method that is able to characterize molecule synthetic accessibility as a score between 1 (easy to make) and 10 (very difficult to make) is described in this article. The method for estimation of the synthetic accessibility score (SAscore) described here is based on a combination of fragment contributions and a complexity penalty. Fragment contributions have been calculated based on the analysis of one million representative molecules from PubChem and therefore one can say that they capture historical synthetic knowledge stored in this database. The molecular complexity score takes into account the presence of non-standard structural features, such as large rings, non-standard ring fusions, stereocomplexity and molecule size. The method has been validated by comparing calculated SAscores with ease of synthesis as estimated by experienced medicinal chemists for a set of 40 molecules. The agreement between calculated and manually estimated synthetic accessibility is very good with r2 = 0.89. A novel method to estimate synthetic accessibility of molecules has been developed. This method uses historical synthetic knowledge obtained by analyzing information from millions of already synthesized chemicals and considers also molecule complexity. The method is sufficiently fast and provides results consistent with estimation of ease of synthesis by experienced medicinal chemists. The calculated SAscore may be used to support various drug discovery processes where a large number of molecules needs to be ranked based on their synthetic accessibility, for example when purchasing samples for screening, selecting hits from high-throughput screening for follow-up, or ranking molecules generated by various de novo design approaches. read more read less

Topics:

PubChem (50%)50% related to the paper
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807 Citations
open accessOpen access Journal Article DOI: 10.1186/S13321-017-0235-X
Molecular de-novo design through deep reinforcement learning
Marcus Olivecrona1, Thomas Blaschke1, Ola Engkvist1, Hongming Chen1

Abstract:

This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable properties. We demonstrate how this model can execute a range of tasks such as generating analogues to a query struct... This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable properties. We demonstrate how this model can execute a range of tasks such as generating analogues to a query structure and generating compounds predicted to be active against a biological target. As a proof of principle, the model is first trained to generate molecules that do not contain sulphur. As a second example, the model is trained to generate analogues to the drug Celecoxib, a technique that could be used for scaffold hopping or library expansion starting from a single molecule. Finally, when tuning the model towards generating compounds predicted to be active against the dopamine receptor type 2, the model generates structures of which more than 95% are predicted to be active, including experimentally confirmed actives that have not been included in either the generative model nor the activity prediction model. read more read less

Topics:

Generative model (55%)55% related to the paper
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784 Citations
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Journal of Cheminformatics format uses SPBASIC citation style.

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Frequently asked questions

1. Can I write Journal of Cheminformatics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Cheminformatics guidelines and auto format it.

2. Do you follow the Journal of Cheminformatics guidelines?

Yes, the template is compliant with the Journal of Cheminformatics guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Cheminformatics?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Journal of Cheminformatics citation style.

4. Can I use the Journal of Cheminformatics templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Cheminformatics.

5. Can I use a manuscript in Journal of Cheminformatics that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Cheminformatics that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Cheminformatics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Journal of Cheminformatics.

7. Where can I find the template for the Journal of Cheminformatics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Cheminformatics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Journal of Cheminformatics's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's Journal of Cheminformatics is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Journal of Cheminformatics?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Journal of Cheminformatics?”

11. What is the output that I would get after using Journal of Cheminformatics?

After writing your paper autoformatting in Journal of Cheminformatics, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Cheminformatics's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Cheminformatics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Cheminformatics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Cheminformatics?

The 5 most common citation types in order of usage for Journal of Cheminformatics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Journal of Cheminformatics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Cheminformatics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Cheminformatics in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Cheminformatics Endnote style according to Elsevier guidelines.

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