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Nina Jeliazkova
Researcher at Bulgarian Academy of Sciences
Publications - 85
Citations - 2698
Nina Jeliazkova is an academic researcher from Bulgarian Academy of Sciences. The author has contributed to research in topics: Computer science & Web service. The author has an hindex of 24, co-authored 73 publications receiving 2017 citations.
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The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching
Egon Willighagen,John Mayfield,Jonathan Alvarsson,Arvid Berg,Lars Carlsson,Nina Jeliazkova,Stefan Kuhn,Tomáš Pluskal,Miquel Rojas-Chertó,Ola Spjuth,gilleain torrance,Chris T. Evelo,Rajarshi Guha,Christoph Steinbeck +13 more
TL;DR: This paper highlights the continued efforts to provide a community driven, open source cheminformatics library, and shows that such collaborative projects can thrive over extended periods of time, resulting in a high-quality and performant library.
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An evaluation of the implementation of the Cramer classification scheme in the Toxtree software
TL;DR: Overall Toxtree was found to be a useful tool in facilitating the systematic evaluation of compounds through the Cramer scheme and a number of inconsistencies were examined in turn and rationalised as far as possible.
The Benigni / Bossa rulebase for mutagenicity and carcinogenicity - a module of Toxtree
TL;DR: This report gives an introduction to currently available QSARs and SAs for carcinogenicity and mutagenicity, and provides details of the Benigni/Bossa rulebase.
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ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
Jiangming Sun,Nina Jeliazkova,Vladimir Chupakhin,Jose-Felipe Golib-Dzib,Ola Engkvist,Lars Carlsson,Jörg K. Wegner,Hugo Ceulemans,Ivan Georgiev,Vedrin Jeliazkov,Nikolay Kochev,Thomas J. Ashby,Hongming Chen +12 more
TL;DR: In this article, the authors compile a comprehensive chemogenomics dataset with over 70 million SAR data points from publicly available databases (PubChem and ChEMBL) including structure, target information and activity annotations.
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Collaborative development of predictive toxicology applications
Barry Hardy,Nicki Douglas,Christoph Helma,Micha Rautenberg,Nina Jeliazkova,Vedrin Jeliazkov,Ivelina Nikolova,Romualdo Benigni,Olga Tcheremenskaia,Stefan Kramer,Tobias Girschick,Fabian Buchwald,Jörg Wicker,Andreas Karwath,Martin Gütlein,Andreas Maunz,Haralambos Sarimveis,Georgia Melagraki,Antreas Afantitis,Pantelis Sopasakis,David Gallagher,Vladimir Poroikov,Dmitry Filimonov,Alexey V. Zakharov,Alexey Lagunin,Tatyana A. Gloriozova,Sergey V. Novikov,Natalia Skvortsova,D. S. Druzhilovsky,Sunil Chawla,Indira Ghosh,Surajit Ray,Hitesh Patel,Sylvia Escher +33 more
TL;DR: Because of the extensible nature of the standardised Framework design, barriers of interoperability between applications and content are removed, as the user may combine data, models and validation from multiple sources in a dependable and time-effective way.