Skip to content

Commit

Permalink
Merge pull request #4770 from openjournals/joss.05763
Browse files Browse the repository at this point in the history
Merging automatically
  • Loading branch information
editorialbot authored Nov 9, 2023
2 parents 4154814 + b42217a commit 68c4607
Show file tree
Hide file tree
Showing 4 changed files with 1,032 additions and 0 deletions.
324 changes: 324 additions & 0 deletions joss.05763/10.21105.joss.05763.crossref.xml
Original file line number Diff line number Diff line change
@@ -0,0 +1,324 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20231109T135157-fd28e3055d621e1b13e127dfddcc25456cacd423</doi_batch_id>
<timestamp>20231109135157</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>11</month>
<year>2023</year>
</publication_date>
<journal_volume>
<volume>8</volume>
</journal_volume>
<issue>91</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>OpenFEPOPS: A Python implementation of the FEPOPS
molecular similarity technique</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Yan-Kai</given_name>
<surname>Chen</surname>
<ORCID>https://orcid.org/0000-0001-7161-9503</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Douglas R.</given_name>
<surname>Houston</surname>
<ORCID>https://orcid.org/0000-0002-3469-1546</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Manfred</given_name>
<surname>Auer</surname>
<ORCID>https://orcid.org/0000-0001-8920-3522</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Steven</given_name>
<surname>Shave</surname>
<ORCID>https://orcid.org/0000-0001-6996-3663</ORCID>
</person_name>
</contributors>
<publication_date>
<month>11</month>
<day>09</day>
<year>2023</year>
</publication_date>
<pages>
<first_page>5763</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.05763</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.6084/m9.figshare.24477184.v1</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/5763</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.05763</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.05763</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.05763.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="nettles2007flexible">
<article_title>Flexible 3D pharmacophores as descriptors of
dynamic biological space</article_title>
<author>Nettles</author>
<journal_title>Journal of Molecular Graphics and
Modelling</journal_title>
<issue>3</issue>
<volume>26</volume>
<doi>10.1016/j.jmgm.2007.02.005</doi>
<cYear>2007</cYear>
<unstructured_citation>Nettles, J. H., Jenkins, J. L.,
Williams, C., Clark, A. M., Bender, A., Deng, Z., Davies, J. W., &amp;
Glick, M. (2007). Flexible 3D pharmacophores as descriptors of dynamic
biological space. Journal of Molecular Graphics and Modelling, 26(3),
622–633.
https://doi.org/10.1016/j.jmgm.2007.02.005</unstructured_citation>
</citation>
<citation key="jenkins20043d">
<article_title>A 3D similarity method for scaffold hopping
from known drugs or natural ligands to new chemotypes</article_title>
<author>Jenkins</author>
<journal_title>Journal of medicinal
chemistry</journal_title>
<issue>25</issue>
<volume>47</volume>
<doi>10.1021/jm049654z</doi>
<cYear>2004</cYear>
<unstructured_citation>Jenkins, J. L., Glick, M., &amp;
Davies, J. W. (2004). A 3D similarity method for scaffold hopping from
known drugs or natural ligands to new chemotypes. Journal of Medicinal
Chemistry, 47(25), 6144–6159.
https://doi.org/10.1021/jm049654z</unstructured_citation>
</citation>
<citation key="jenkins2013feature">
<article_title>Feature point pharmacophores
(FEPOPS)</article_title>
<author>Jenkins</author>
<journal_title>Scaffold hopping in medicinal
chemistry</journal_title>
<doi>10.1002/9783527665143.ch10</doi>
<cYear>2013</cYear>
<unstructured_citation>Jenkins, J. L. (2013). Feature point
pharmacophores (FEPOPS). Scaffold Hopping in Medicinal Chemistry,
155–174.
https://doi.org/10.1002/9783527665143.ch10</unstructured_citation>
</citation>
<citation key="ripphausen2011state">
<article_title>State-of-the-art in ligand-based virtual
screening</article_title>
<author>Ripphausen</author>
<journal_title>Drug discovery today</journal_title>
<issue>9-10</issue>
<volume>16</volume>
<doi>10.1016/j.drudis.2011.02.011</doi>
<cYear>2011</cYear>
<unstructured_citation>Ripphausen, P., Nisius, B., &amp;
Bajorath, J. (2011). State-of-the-art in ligand-based virtual screening.
Drug Discovery Today, 16(9-10), 372–376.
https://doi.org/10.1016/j.drudis.2011.02.011</unstructured_citation>
</citation>
<citation key="hughes2011principles">
<article_title>Principles of early drug
discovery</article_title>
<author>Hughes</author>
<journal_title>British journal of
pharmacology</journal_title>
<issue>6</issue>
<volume>162</volume>
<doi>10.1111/j.1476-5381.2010.01127.x</doi>
<cYear>2011</cYear>
<unstructured_citation>Hughes, J. P., Rees, S., Kalindjian,
S. B., &amp; Philpott, K. L. (2011). Principles of early drug discovery.
British Journal of Pharmacology, 162(6), 1239–1249.
https://doi.org/10.1111/j.1476-5381.2010.01127.x</unstructured_citation>
</citation>
<citation key="cortes2020qsar">
<article_title>QSAR-derived affinity fingerprints (part 2):
Modeling performance for potency prediction</article_title>
<author>Cortés-Ciriano</author>
<journal_title>Journal of Cheminformatics</journal_title>
<issue>1</issue>
<volume>12</volume>
<doi>10.1186/s13321-020-00444-5</doi>
<cYear>2020</cYear>
<unstructured_citation>Cortés-Ciriano, I., Škuta, C.,
Bender, A., &amp; Svozil, D. (2020). QSAR-derived affinity fingerprints
(part 2): Modeling performance for potency prediction. Journal of
Cheminformatics, 12(1), 41.
https://doi.org/10.1186/s13321-020-00444-5</unstructured_citation>
</citation>
<citation key="baber2006use">
<article_title>The use of consensus scoring in ligand-based
virtual screening</article_title>
<author>Baber</author>
<journal_title>Journal of chemical information and
modeling</journal_title>
<issue>1</issue>
<volume>46</volume>
<doi>10.1021/ci050296y</doi>
<cYear>2006</cYear>
<unstructured_citation>Baber, J. C., Shirley, W. A., Gao,
Y., &amp; Feher, M. (2006). The use of consensus scoring in ligand-based
virtual screening. Journal of Chemical Information and Modeling, 46(1),
277–288. https://doi.org/10.1021/ci050296y</unstructured_citation>
</citation>
<citation key="mysinger2012directory">
<article_title>Directory of useful decoys, enhanced (DUD-e):
Better ligands and decoys for better benchmarking</article_title>
<author>Mysinger</author>
<journal_title>Journal of medicinal
chemistry</journal_title>
<issue>14</issue>
<volume>55</volume>
<doi>10.1021/jm300687e</doi>
<cYear>2012</cYear>
<unstructured_citation>Mysinger, M. M., Carchia, M., Irwin,
J. J., &amp; Shoichet, B. K. (2012). Directory of useful decoys,
enhanced (DUD-e): Better ligands and decoys for better benchmarking.
Journal of Medicinal Chemistry, 55(14), 6582–6594.
https://doi.org/10.1021/jm300687e</unstructured_citation>
</citation>
<citation key="landrum2013rdkit">
<article_title>RDKit: Open-source
cheminformatics</article_title>
<author>Landrum</author>
<cYear>2013</cYear>
<unstructured_citation>Landrum, G. (2013). RDKit:
Open-source cheminformatics.</unstructured_citation>
</citation>
<citation key="arthur2007k">
<article_title>K-means++ the advantages of careful
seeding</article_title>
<author>Arthur</author>
<journal_title>Proceedings of the eighteenth annual ACM-SIAM
symposium on discrete algorithms</journal_title>
<cYear>2007</cYear>
<unstructured_citation>Arthur, D., &amp; Vassilvitskii, S.
(2007). K-means++ the advantages of careful seeding. Proceedings of the
Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 1027–1035.
https://dl.acm.org/doi/abs/10.5555/1283383.1283494</unstructured_citation>
</citation>
<citation key="park2009simple">
<article_title>A simple and fast algorithm for k-medoids
clustering</article_title>
<author>Park</author>
<journal_title>Expert systems with
applications</journal_title>
<issue>2</issue>
<volume>36</volume>
<doi>10.1016/j.eswa.2008.01.039</doi>
<cYear>2009</cYear>
<unstructured_citation>Park, H.-S., &amp; Jun, C.-H. (2009).
A simple and fast algorithm for k-medoids clustering. Expert Systems
with Applications, 36(2), 3336–3341.
https://doi.org/10.1016/j.eswa.2008.01.039</unstructured_citation>
</citation>
<citation key="gillet1998identification">
<article_title>Identification of biological activity
profiles using substructural analysis and genetic
algorithms</article_title>
<author>Gillet</author>
<journal_title>Journal of chemical information and computer
sciences</journal_title>
<issue>2</issue>
<volume>38</volume>
<doi>10.1021/ci970431+</doi>
<cYear>1998</cYear>
<unstructured_citation>Gillet, V. J., Willett, P., &amp;
Bradshaw, J. (1998). Identification of biological activity profiles
using substructural analysis and genetic algorithms. Journal of Chemical
Information and Computer Sciences, 38(2), 165–179.
https://doi.org/10.1021/ci970431+</unstructured_citation>
</citation>
<citation key="wildman1999prediction">
<article_title>Prediction of physicochemical parameters by
atomic contributions</article_title>
<author>Wildman</author>
<journal_title>Journal of chemical information and computer
sciences</journal_title>
<issue>5</issue>
<volume>39</volume>
<doi>10.1021/ci990307l</doi>
<cYear>1999</cYear>
<unstructured_citation>Wildman, S. A., &amp; Crippen, G. M.
(1999). Prediction of physicochemical parameters by atomic
contributions. Journal of Chemical Information and Computer Sciences,
39(5), 868–873.
https://doi.org/10.1021/ci990307l</unstructured_citation>
</citation>
<citation key="gasteiger1980iterative">
<article_title>Iterative partial equalization of orbital
electronegativity—a rapid access to atomic charges</article_title>
<author>Gasteiger</author>
<journal_title>Tetrahedron</journal_title>
<issue>22</issue>
<volume>36</volume>
<doi>10.1016/0040-4020(80)80168-2</doi>
<cYear>1980</cYear>
<unstructured_citation>Gasteiger, J., &amp; Marsili, M.
(1980). Iterative partial equalization of orbital electronegativity—a
rapid access to atomic charges. Tetrahedron, 36(22), 3219–3228.
https://doi.org/10.1016/0040-4020(80)80168-2</unstructured_citation>
</citation>
<citation key="fawcett2006introduction">
<article_title>An introduction to ROC
analysis</article_title>
<author>Fawcett</author>
<journal_title>Pattern recognition letters</journal_title>
<issue>8</issue>
<volume>27</volume>
<doi>10.1016/j.patrec.2005.10.010</doi>
<cYear>2006</cYear>
<unstructured_citation>Fawcett, T. (2006). An introduction
to ROC analysis. Pattern Recognition Letters, 27(8), 861–874.
https://doi.org/10.1016/j.patrec.2005.10.010</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>
Loading

0 comments on commit 68c4607

Please sign in to comment.