2020

• Kochev, Nikolay, Nina Jeliazkova, Vesselina Paskaleva, Gergana Tancheva, Luchesar Iliev, Peter Ritchie, and Vedrin Jeliazkov. 2020. Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the ENanoMapper Database. Nanomaterials 10 (10): 1908. https://doi.org/10.3390/nano10101908.
• Terziyski, Atanas, Stoyan Tenev, Vedrin Jeliazkov, Nina Jeliazkova, and Nikolay Kochev. 2020. METER.AC: Live Open Access Atmospheric Monitoring Data for Bulgaria with High Spatiotemporal Resolution. Data 5 (2): 36. https://doi.org/10.3390/data5020036.
• Sturm, Noe, Andreas Mayr, Thanh Le Van, Vladimir Chupakhin, Hugo Ceulemans, Joerg Wegner, Jose-Felipe Golib-Dzib, et al. 2020. Industry-Scale Application and Evaluation of Deep Learning for Drug Target Prediction.” Journal of Cheminformatics 12 (1): 26. https://doi.org/10.1186/s13321-020-00428-5.
• Mansouri, Kamel, Nicole Kleinstreuer, Ahmed M. Abdelaziz, Domenico Alberga, Vinicius M. Alves, Patrik L. Andersson, Carolina H. Andrade, et al. 2020. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity. Environmental Health Perspectives 128 (2): 027002. https://doi.org/10.1289/EHP5580.
• Stone, Vicki, Stefania Gottardo, Eric A.J. Bleeker, Hedwig Braakhuis, Susan Dekkers, Teresa Fernandes, Andrea Haase, et al. 2020. A Framework for Grouping and Read-across of Nanomaterials- Supporting Innovation and Risk Assessment. Nano Today 35 (December): 100941. https://doi.org/10.1016/j.nantod.2020.100941.

2019

• de Bruyn Kops C, Stork C, Sícho M, Kochev N, Svozil D, Jeliazkova N, Johannes Kirchmair: GLORY: Generator of the Structures of Likely Cytochrome P450 Metabolites Based on Predicted Sites of Metabolism. Front. Chem. 7, 2019. DOI:10.3389/fchem.2019.00402
• Kochev N, Paskaleva V, Pukalov O, Jeliazkova N: Ambit-GCM: An Open-source Software Tool for Group Contribution Modelling. Mol Inform 2019. DOI:10.1002/minf.201800138
• Basei G, Hristozov D, Lamon L, Zabeo A, Jeliazkova N, Tsiliki G, Marcomini A, Torsello A: Making use of available and emerging data to predict the hazards of engineered nanomaterials by means of in silico tools: A critical review. NanoImpact 2019, 13:76–99. DOI:10.1016/j.impact.2019.01.003
• N. Jeliazkova and V. Jeliazkov, Making Big Data Available: Integrating Technologies for Toxicology Applications, in Big Data in Predictive Toxicology, D. Neagu and A. Richarz, Eds. RSC Publishing, 1 edition 2019 .
• N. Kochev, I. Tsakovska, and N. Jeliazkova, Cheminformatics representation of chemical structures - a milestone for successful big data modelling, in Big Data in Predictive Toxicology, D. Neagu and A. Richarz, Eds. RSC Publishing, 1 edition 2019.

2018

• Jeliazkova N. Hendren C.O., Hristozov D., Farcal L., Kochev N., Doganis P., Ritchie P., Hardy B., Claus Svendsen C., Klaessig F., Willighagen E., Cohen Y.; EU US Nanoinformatics Roadmap 2030, Chapter 5 Data collection and curation 10.5281/zenodo.1486012
• Kochev N, Avramova S, Jeliazkova N: Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation. J Cheminform 2018, 10:42. DOI:10.1186/s13321-018-0295-6
• Mech A, Rasmussen K, Jantunen P, Aicher L, Alessandrelli M, Bernauer U, Bleeker EAJ, Bouillard J, Di Prospero Fanghella P, Draisci R, Dusinska M, Encheva G, Flament G, Haase A, Handzhiyski Y, Herzberg F, Huwyler J, Jacobsen NR, Jeliazkov V, Jeliazkova N, Nymark P, Grafström R, Oomen AG, Polci ML, Riebeling C, Sandström J, Shivachev B, Stateva S, Tanasescu S, Tsekovska R, et al.: Insights into possibilities for grouping and read-across for nanomaterials in EU chemicals legislation. Nanotoxicology 2018:1–23.
• Honma M, Kitazawa A, Cayley A, Williams R V, Barber C, Hanser T, Saiakhov R, Chakravarti S, Myatt GJ, Cross KP, Benfenati E, Raitano G, Mekenyan O, Petkov P, Bossa C, Benigni R, Battistelli CL, Giuliani A, Tcheremenskaia O, DeMeo C, Norinder U, Koga H, Jose C, Jeliazkova N, Kochev N, Paskaleva V, Yang C, Daga PR, Clark RD, Rathman J: Improvement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project. Mutagenesis 2018. 10.1093/mutage/gey031

2017

• Karcher, S.; Willighagen, E. L.; Rumble, J.; Ehrhart, F.; Evelo, C. T.; Fritts, M.; Gaheen, S.; Harper, S. L.; Hoover, M. D.; Jeliazkova, N.; et al. Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations. NanoImpact 2017 DOI:10.1016/j.impact.2017.11.002.
• Nymark, P.; Rieswijk, L.; Ehrhart, F.; Jeliazkova, N.; Tsiliki, G.; Sarimveis, H.; Evelo, C. T.; Hongisto, V.; Kohonen, P.; Willighagen, E.; et al. A data fusion pipeline for generating and enriching Adverse Outcome Pathway descriptions. Toxicol. Sci. 2017 DOI: 10.1093/toxsci/kfx252.
• Puzyn, T.; Jeliazkova, N.; Sarimveis, H.; Marchese Robinson, R. L.; Lobaskin, V.; Rallo, R.; Richarz, A.-N.; Gajewicz, A.; Papadopulos, M. G.; Hastings, J.; et al. Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology. Food Chem. Toxicol. 2017 , DOI:10.1016/j.fct.2017.09.037.
• Willighagen, E. L.; Mayfield, J. W.; Alvarsson, J.; Berg, A.; Carlsson, L.; Jeliazkova, N.; Kuhn, S.; Pluskal, T.; Rojas-Cherto, M.; Spjuth, O.; et al. The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching. J. Cheminform. 2017, 9, 33 DOI: 10.1186/s13321-017-0220-4.
• J. Sun, N. Jeliazkova, V. Chupakin, J.-F. Golib-Dzib, O. Engkvist, L. Carlsson, J. Wegner, H. Ceulemans, I. Georgiev, V. Jeliazkov, N. Kochev, T. J. Ashby, and H. Chen, ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics, J. Cheminform., vol. 9, no. 1, p. 17, Mar. 2017. 10.1186/s13321-017-0203-5

2016

• O. Spjuth, P. Rydberg, E. L. Willighagen, C. T. Evelo, and N. Jeliazkova, XMetDB: an open access database for xenobiotic metabolism, J. Cheminform., vol. 8, no. 1, p. 47, Dec. 2016.
• N. Jeliazkova, V. Koch, Q. Li, U. Jensch, J. S. Reigl, R. Kreiling, I. Georgiev, and B. Hubesch, Linking LRI AMBIT chemoinformatic system with the IUCLID substance database to support read-across of substance endpoint data and category formation, Toxicol. Lett., vol. 258, pp. S114-S115, Sep. 2016. 10.1016/j.toxlet.2016.06.1469

2015

• N. Jeliazkova, C. Chomenidis, P. Doganis, B. Fadeel, R. Grafström, B. Hardy, J. Hastings, M. Hegi, V. Jeliazkov, N. Kochev, P. Kohonen, C. R. Munteanu, H. Sarimveis, B. Smeets, P. Sopasakis, G. Tsiliki, D. Vorgrimmler, and E. Willighagen, The eNanoMapper database for nanomaterial safety information,Beilstein J. Nanotechnol., vol. 6, pp. 1609-1634, Jul. 2015. doi:10.3762/bjnano.6.165
• Hastings, J., Jeliazkova, N., Owen, G., Tsiliki, G., Munteanu, C. R., Steinbeck, C., & Willighagen, E. eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment. Journal of Biomedical Semantics, 2015, 6(10). doi:10.1186/s13326-015-0005-5

2014

• Jeliazkova N., Jeliazkov V., Willighagen E., Smeets S., Munteanu C., Fadeel B., Grafström R., Kohonen P., Sarimveis H., Tsiliki G., Doganis P., Vorgrimmler D., and Hastings J., The first eNanoMapper prototype: a substance database to support safe-by-design, IEEE BIBM'14 2014 Workshop on Nanoinformatics for Environmental Health and Biomedicine 2014 doi:10.1109/BIBM.2014.6999367
• Sahlin, U., Jeliazkova, N., Oberg, T., Applicability Domain Dependent Predictive Uncertainty in QSAR Regressions, Molecular Informatics, 2014, 33(1);26-35.

2013

• Kohonen P., Benfenati E., Bower D., Ceder R., Crump M., Cross K., Grafström R., Healy L., Helma C., Jeliazkova N., Jeliazkov V., Maggioni S., Miller S., Myatt G., Rautenberg M., Stacey G., Willighagen E., Wiseman J., Hardy B., The ToxBank Data Warehouse: Supporting the Replacement of In Vivo Repeated Dose Systemic Toxicity Testing, Molecular Informatics, 2013, 32(1);47-63.
• Kochev N., Paskaleva V., Jeliazkova N., Ambit-Tautomer: An Open Source Tool for Tautomer Generation, Molecular Informatics, 2013, 32(5-6):481-504. doi:10.1002/minf.201200133
• Cassani S., Kovarich S., Papa E., Roy PP., Rahmberg M., Nilsson S., Sahlin U., Jeliazkova N., Kochev N., Pukalov O., Tetko I., Brandmaier S., Durjava MK., Kolar B., Peijnenburg W., Gramatica P. Evaluation of CADASTER QSAR models for the aquatic toxicity of (benzo)triazoles and prioritisation by consensus prediction, Altern Lab Anim. 2013 ,41(1):49-64.

2012

• Jeliazkova, N., Jeliazkov V., Chemical Landscape Analysis with the Opentox Framework, Current Topics in Medicinal Chemistry, 2012, 12(18);1987-2001(15).
• Willighagen E., Affentranger A., Grafström R., Hardy B., Jeliazkova N., Spjuth O., Chapter 2. Interactive predictive toxicology with Bioclipse and OpenTox, In Lee Harland, & Mark Forster (Eds.), Open source software in life science research: Practical solutions to common challenges in the pharmaceutical industry and beyond (Woodhead Publishing Series in Biomedicine) (pp. 35-61). Woodhead Publishing 2012.
• Jeliazkova, N., Web tools for predictive toxicology model building, Expert Opinion on Drug Metabolism & Toxicology, 2012, 8(5);1-11 doi: 10.1517/17425255.2012.685158.
• Hardy B., Apic G., Carthew P, Clark D., Cook D., Dix I., Escher S., Hastings J., Heard D.J., Jeliazkova N., Judson P., Matis-Mitchell S., Mitic D., Myatt G., Shah I., Spjuth O., Tcheremenskaia O., Toldo L., Watson D., White A., Yang C., Toxicology Ontology Perspectives, ALTEX-Alternatives to Animal Experimentation, 2012, 29(2);139- 156.
• Hardy B., Apic G., Carthew P, Clark D., Cook D., Dix I., Escher S., Hastings J., Heard D.J., Jeliazkova N., Judson P., Matis-Mitchell S., Mitic D., Myatt G., Shah I., Spjuth O., Tcheremenskaia O., Toldo L., Watson D., White A., Yang C., A Toxicology Ontology Roadmap, ALTEX-Alternatives to Animal Experimentation, 2012, 29(2);129-137.
• Tcheremenskaia O., Benigni R., Nikolova I., Jeliazkova N., Escher S., Batke M., Baier T., Poroikov V., Lagunin A., Rautenberg M., Hardy B., OpenTox predictive toxicology framework: toxicological ontology and semantic media wiki-based OpenToxipedia, J Biomed Semantics, 2012; 3(Suppl 1): S7.

2011

• Jeliazkova N., Jeliazkov V. AMBIT RESTful web services: an implementation of the OpenTox application programming interface, Journal of Cheminformatics 2011, 3:18, doi:10.1186/1758-2946-3-18.
• Jeliazkova N., Kochev N. Ambit-SMARTS: Efficient Searching Of Chemical Structures And Fragments, Molecular Informatics, 2011;30(8):707-720. doi:10.1002/minf.201100028
• Willighagen E., Jeliazkova N., Hardy B., Grafstrom R., Spjuth O., Computational toxicology using the OpenTox application programming interface and Bioclipse, BMC Research Notes 2011 4 (1), 487
• Noel M O'Boyle , Rajarshi Guha , Egon L Willighagen , Samuel E Adams , Jonathan Alvarsson , Jean-Claude Bradley , Igor V Filippov , Robert M Hanson , Marcus D Hanwell , Geoffrey R Hutchison , Craig A James , Nina Jeliazkova , Andrew SID Lang , Karol M Langner , David C Lonie , Daniel M Lowe , Jerome Pansanel , Dmitry Pavlov , Ola Spjuth , Christoph Steinbeck , Adam L Tenderholt , Kevin J Theisen and Peter Murray-Rust, Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on Journal of Cheminformatics 2011, 3:37, doi:10.1186/1758-2946-3-37.
• Bhhatarai B., Teetz W., Liu T., Oberg T., Jeliazkova N., Kochev N., Pukalov O., Tetko I., Kovarich S., Papa E., Gramatica P., CADASTER QSPR Models for Predictions of Melting and Boiling Points of Perfluorinated Chemicals, Molecular Informatics 2011;30(2-3):189-204.

2010

• Jeliazkova N., Jaworska J., Worth A. Chapter 17. Open Source Tools for Read-Across and Category Formation, In M. Cronin, & Madden J. (Eds.), In Silico Toxicology : Principles and Applications (pp. 408-445). Cambridge, UK: RSC Publishing ,2010
• B. Hardy, N. Douglas, C. Helma, M. Rautenberg, N. Jeliazkova, V. Jeliazkov, I. Nikolova, R. Benigni, O. Tcheremenskaia, S. Kramer, T. Girschick, F. Buchwald, J. Wicker, A. Karwath, M. Gütlein, A. Maunz, H. Sarimveis, G. Melagraki, A. Afantitis, P. Sopasakis, D. Gallagher, V. Poroikov, D. Filimonov, A. Zakharov, A. Lagunin, T. Gloriozova, S. Novikov, N. Skvortsova, D. Druzhilovsky , S. Chawla, I. Ghosh, S. Ray, H. Patel, S. Escher, Collaborative Development of Predictive Toxicology Applications, Journal of Cheminformatics 2010, 2:7doi:10.1186/1758-2946-2-7.

2009

• Jeliazkova N., Computer tools for Threshold of Toxicological Concern elucidation, Toxicology Letters, Abstracts of the 46th Congress of the European Societies of Toxicology, Volume 189, Supplement 1, 13 September 2009, Page S10
• R. Benigni, A. Worth, T. Netzeva, N. Jeliazkova, C. Bossa, A. Gruska, R. Franke, Structural motifs modulating the carcinogenic risk of aromatic amines, Environmental and Molecular Mutagenesis, 2009, 50:152161
• Hristo S. Nikolov, Doyno I. Petkov, Nina Jeliazkova, Stela Ruseva and Kiril Boyanov Non-linear methods in remotely sensed multispectral data classification Advances in Space Research, Volume: 43, Issue: 5, Pages: 859-868 2009

2008

• Patlewicz G, Jeliazkova N, Safford RJ, Worth AP, Aleksiev B. An evaluation of the implementation of the Cramer classification scheme in the Toxtree software. SAR QSAR Environ Res. 2008;19(5-6):495-524.
• G. Patlewicz, N. Jeliazkova, A. Gallegos Saliner, A. P. Worth, Toxmatch - a new software tool to aid in the development and evaluation of chemically similar groups,SAR and QSAR in Environmental Research, 19:3, 397 - 412(2008)
• Ana Gallegos-Saliner, Albert Poater, Nina Jeliazkova, Grace Patlewicz, Andrew P. Worth, Toxmatch-A chemical classification and activity prediction tool based on similarity measures ,Regulatory Toxicology and Pharmacology,Volume 52, Issue 2, November 2008, Pages 77-84
• N. Kochev, O. Pukalov, G. Andreev, N. Jeliazkova; Software Module For Prediction Of Molar Refractivity; Scientific Researches of The Union of Scientists in Bulgaria - Plovdiv, Series B, "Natural Sciences and the Humanities" 2008, Vol X, 225-228.

2007

• Joanna Jaworska, Nina Nikolova-Jeliazkova, How can structural similarity analysis help in category formation, SAR and QSAR in Environmental Research, vol 18, 3-4 (2007)

2006

• N. Jeliazkova, L. Iliev, V. Jeliazkov, PerfsonarUI - a Standalone Graphical User Interface for Querying perfSONAR Services, IEEE 2006 John Vincent Atanasoff International Symposium on Modern Computing, Sofia, Oct 3-5 2006 doi:10.1109/JVA.2006.52

2005

• Joanna Jaworska, Nina Nikolova-Jeliazkova, Tom Aldenberg QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review, ATLA, 33, 445-459 (2005)
• Nina Nikolova-Jeliazkova, Joanna Jaworska An Approach to Determining Applicability Domains for QSAR Group Contribution Models: An Analysis of SRC KOWWIN, ATLA, 33, 461-470 (2005)
• T.I. Netzeva, A.P. Worth,T. Aldenberg, R. Benigni, M.T.D. Cronin, P. Gramatica, J.S. Jaworska, S. Kahn, G. Klopman, C.A. Marchant, G. Myatt, N. Nikolova-Jeliazkova, G.Y. Patlewicz, R. Perkins, D.W. Roberts, T.W. Schultz, D.T. Stanton, J.J.M. van de Sandt, W. Tong, G. Veith & C. Yang ECVAM WORKSHOP REPORT Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships , ATLA, 33, 155-173 (2005)
• Aynur O. Aptula, Nina G. Jeliazkova,, Terry W. Schultz, Mark T. D. Cronin The Better Predictive Model: High q2 for the Training Set or Low Root Mean Square Error of Prediction for the Test Set?, QSAR and Combinatorial Science 2005, 24, 385-396 (2005)
• Nina Jeliazkova Slow Fingerprints?, CDK News (2005)

2004

• N.Jeliazkova, S.Ruseva, K.Boyanov, H.Nikolov, D.Petkov, Application of Nonparametric Bayesian Classifier to Remote Sensing Data, Information Technologies and Control, No. 2, 2004, p 8-12

• Ovanes Mekenyan, Nina Nikolova, Patricia Schmieder, Gilman Veith COREPA-M: A Multi-Dimensional Formulation of COREPA QSAR & Combinatorial Science Volume 23, Issue 1, (2004) Pages 5-18

2003 and before

• Nikolova N., J. Jaworska. Approaches to Measure Chemical Similarity - a Review. QSAR Comb. Sci. 22, No. 9-10, 1006-1026 (2003)
• Ovanes Mekenyan, Nina Nikolova, Patricia Schmieder, Dynamic 3D QSAR techniques: applications in toxicology, Journal of Molecular Structure (Theochem) 622 (2003) 147-165
• Karabunarliev, S.H., Nikolova N., Nikolov N. and O.G. Mekenyan. Rule interpreter: A chemical language that implements decision rules based on molecular structure, Journal of Molecular Structure: THEOCHEM, Volume 622, Issues 1-2, 7 March 2003, Pages 53-62 DOI:10.1016/S0166-1280(02)00617-6.
• Jaworska J., Dimitrov S., Nikolova N., Mekenyan O., Probabilistic assessment of biodegradability based on metabolic pathways: CATABOL system., SAR and QSAR in Environmental Research, 2002 vol. 13(2), pp. 307-323
• Hadjitodorov S., Nikolova N.,Generalized net model of the self-organizing map of Kohonen classical training procedure, Advances in Modelling & Analysis, 2000, 1-2, Vol. 43 , pp.51-60.
• Mekenyan O.G. Dimitrov D. Nikolova N.,Karabunarliev S.H. Conformational Coverage by a Genetic Algorithm, J.Chem. Inf. Comput. Sci. 1999, 39/6, 997-1016.
• Mateev, Pl., N. Nikolova and G. Angelova. Text Categorisation in an Internet Application for Document Management. Proc. Text Mining Workshop, IJCAI-99, Stockholm, August 1999.
• Egorov A., Nikolova N., Load balancing : A case study, in Proceedings of the 10th International Conference "Systems for Automation of Engineering and Research", (SAER '96), September 27-29, 1996, St. Konstantin resort, Varna, Bulgaria
• Nikolova N, Generalized Net representation of back-propagation Neural Network, AMSE Review, Vol. 1, No. 2, 1998
• Boyanov K, Tourlakov Ch., Simeonov A., Boyanow L., Yanev S., Nikolova N., Boyadjiev Y., Genchev G., "Computer Networks. Internet", Sofia, 1998, in Bulgarian
• Boyanov K, Tourlakov Ch., Simeonov A., Boyanow L., Yanev S., Nikolova N., Boyadjiev Y., Genchev G., "Internetworking. Network Principles, Protocols and Administration", Sofia, 1996, in English.