Prof. Ivanka Tsakovska, PhD | Publications

Home | CV | Publications

Publications in peer-reviewed journals and book chapters

Publications in English

  1. Vezenkov LT, Tsekova DS, Kostadinova I, Mihaylova R, Lozanov V, Vassilev NG, Danchev N, Tsakovska I, Pajeva I. (2023) Synthesis and Biological Study of 4-Aminopyridine-Peptide Derivatives Designed for the Treatment of Neurodegenerative Disorders. Curr Alzheimer Res. 20(2): 120-129. doi: 10.2174/1567205020666230602142012. IF=2.1 (2022)
  2. Alov P, Stoimenov H, Lessigiarska I, Pencheva T, Tzvetkov NT, Pajeva I, Tsakovska I. (2022) In Silico Identification of Multi-Target Ligands as Promising Hit Compounds for Neurodegenerative Diseases Drug Development. International Journal of Molecular Sciences, 23(21): 13650. doi:10.3390/ijms232113650. IF=5.6 (2022)
  3. Jereva D, Angelova M, Tsakovska I, Alov P, Pajeva I, Miteva M, Pencheva T. (2022) An Application of InterCriteria Analysis Approach to Assess the AMMOS Software Platform Outcomes. Biomath, 11, 1. doi:10.55630/j.biomath.2022.03.068. SJR =0.21 (2022)
  4. Nikolova I, Slavchev I, Zagranyarska I, Nikolova N, Vilhelmova N, Stoyanova A, Grozdanov P, Mukova L, Galabov A, Lessigiarska I, Tsakovska I, Dobrikov GM (2022) Synthesis and QSAR Analysis of Diaryl Ethers and Their Analogues as Potential Antiviral Agents. ChemistrySelect, 7(34):e202203088. doi:10.1002/slct.202203088. IF=2.1 (2022)
  5. Jereva D, Alov P, Tsakovska I, Angelova M, Atanassova V, Vassilev P, Ikonomov N, Atanassov K, Pajeva I, Pencheva T. (2022) Application of InterCriteria Analysis to Assess the Performance of Scoring Functions in Molecular Docking Software Packages. Mathematics, 10(15): 2549. doi:10.3390/math10152549, 2549. IF=2.4 (2022)
  6. Jereva D, Angelova M, Tsakovska I, Alov P, Pajeva I, Miteva M, Pencheva T. (2022) InterCriteria Analysis Approach for Decision-making in Virtual Screening: Comparative Study of Various Scoring Functions. Lecture Notes in Networks and Systems, 374: 67-78. doi:10.1007/978-3-030-96638-6_8. SJR=0.15 (2022)
  7. Tsakovska I, Diukendjieva A, Worth AP. (2022) In Silico Models for Predicting Acute Systemic Toxicity. Methods Mol Biol. 2425:259-289. doi: 10.1007/978-1-0716-1960-5_12. SJR =0.42 (2022)
  8. Alov P, Al Sharif M, Najdenski H, Pencheva T, Tsakovska I, Zaharieva MM, Pajeva I. (2022) New Potential Pharmacological Targets of Plant-Derived Hydroxyanthraquinones from Rubia spp. Molecules. 27(10):3274. doi: 10.3390/molecules27103274. IF=4.6 (2022)
  9. Alov P, Tsakovska I, Pajeva I. (2022) Hybrid Classification/Regression Approach to QSAR Modeling of Stoichiometric Antiradical Capacity Assays’ Endpoints. Molecules 27(7), 2084. IF=4.6 (2022)
  10. Tzvetkov NT, Peeva MI, Tsakovska I>, Pajeva I. Stammler, H.-G. (2022) The crystal structure of (4SR)-7-(3,4-dichlorobenzyl)-4,8,8-trimethyl-7,8-dihydroimidazo[5,1c][1,2,4]triazine-3,6(2H,4H)-dione, C15H16Cl2N4O2. Zeitschrift fur Kristallographie – New Crystal Structures 237(2): 319–321. IF = 0.3 (2022)
  11. Alov P, Al Sharif M, Aluani D, Chegaev K, Dinic J, Rankov AD, Fernandes MX, Fusi F, García-Sosa AT, Juvonen R, Kondeva-Burdina M, Padrón JM, Pajeva I, Pencheva T, Puerta A, Raunio H, Riganti C, Tsakovska I, Tzankova V, Yordanov Y, Saponara S. (2022) A Comprehensive Evaluation of Sdox, a Promising H2S-Releasing Doxorubicin for the Treatment of Chemoresistant Tumors. Frontiers in Pharmacology, 13: 831791 IF = 5.6 (2022)
  12. Podolski-Renić A, Dinić J, Stanković T, Tsakovska I, Pajeva I, Tuccinardi T, Botta L, Schenone S, Pešić M. (2021) New Therapeutic Strategy for Overcoming Multidrug Resistance in Cancer Cells with Pyrazolo[3,4-d]pyrimidine Tyrosine Kinase Inhibitors. Cancers 13(21):5308. doi: 10.3390/cancers13215308. IF = 6.575 (2021)
  13. Ilieva Y, Dimitrova L, Zaharieva MM, Kaleva M, Alov P, Tsakovska I, Pencheva T, Pencheva-El Tibi I, Najdenski H, Pajeva I. (2021) Cytotoxicity and Microbicidal Activity of Commonly Used Organic Solvents: A Comparative Study and Application to a Standardized Extract from Vaccinium macrocarpon. Toxics 9(5):92. doi: 10.3390/toxics9050092. IF = 4.472 (2021)
  14. Kancheva VD, Dettori MA, Fabbri D, Alov P, Angelova SE, Slavova-Kazakova AK, Carta P, Menshov VA, Yablonskaya OI, Trofimov AV, Tsakovska I, Saso L. (2021) Natural Chain-Breaking Antioxidants and Their Synthetic Analogs as Modulators of Oxidative Stress. Antioxidants 10(4):624. doi: 10.3390/antiox10040624. IF = 7.675 (2020)
  15. Lessigiarska I, Peng Y, Tsakovska I, Alov P, Lagarde N, Jereva D, Villoutreix BO, Nicot AB, Pajeva I, Pencheva T, Miteva MA. (2021) Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases. Molecules 26(21):6360. IF=4.927 (2021)
  16. Tsakovska I, Alov P, Ikonomov N, Atanassova V, Vassilev P, Roeva O, Jereva D, Atanassov K, Pajeva I, Pencheva T. (2021). InterCriteria Analysis Implementation for Exploration of the Performance of Various Docking Scoring Functions. In: Dimov, I., Fidanova, S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, https://doi.org/10.1007/978-3-030-55347-0_8 SJR=0.237 (2021)
  17. Jereva D, Pencheva T, Tsakovska I, Alov P, Pajeva I. (2021). Exploring Applicability of the InterCriteria Analysis to Evaluate the Performance of MOE and GOLD Scoring Functions. In: Georgiev, I., Kostadinov, H., Lilkova, E. (eds) Advanced Computing in Industrial Mathematics. BGSIAM 2018. Studies in Computational Intelligence, vol 961. Springer, Cham. https://doi.org/10.1007/978-3-030-71616-5_18 SJR=0.237 (2021)
  18. Diukendjieva A, Zaharieva M, Mori M, Alov P, Tsakovska I, Pencheva T, Najdenski H, Křen V, Felici C, Bufalieri F, Di Marcotullio L, Botta B, Botta M, Pajeva I (2020) Dual SMO/BRAF Inhibition by Flavonolignans from Silybum marianum, Antioxidants, 9(5), 384. IF=6.313 (2020)
  19. Dinić J, Efferth Т, Garcia-Sosa АТ, Grahovac J, Padrón JM, Pajeva I, Rizzolio F, Saponara S, Spengler G, Tsakovska I (2020) Repurposing old drugs to fight multidrug resistant cancers, Drug Resist. Updates, 52, 100713 IF=18.5 (2020)
  20. Dallavalle S, Dobričić V, Lazzarato L, Gazzano E, Machuqueiro M, Pajeva I, Tsakovska I, Zidar N; Roberta Fruttero (2020) Improvement of conventional anti-cancer drugs as new tools against multidrug resistant tumors, Drug Resist. Updates, 50, 100682. IF=18.5      (2020)
  21. Kochev, N., Jeliazkova, N., Tsakovska, I. (2020 Cheminformatics representation of chemical structures – a milestone for successful big data modelling. In Big Data in Predictive Toxicology, Royal Society of Chemistry, 2020, ISBN:978-1-78262-365-6, doi:10.1039/9781782623656-00069, 69-107
  22. Dinić J, Podolski-Renić A, Jovanović M, Musso L, Tsakovska I, Pajeva I, Dallavalle S, Pešić M. (2019) Novel Heat Shock Protein 90 Inhibitors Suppress P-Glycoprotein Activity and Overcome Multidrug Resistance in Cancer Cells, Int. J. Mol. Sci., 20, 4575. IF=4.556 (2019)
  23. Al Sharif M, Tsakovska I, Alov P, Vitcheva V, Diukendjieva A, Pajeva I. (2019) Molecular Modeling Approach to Study the PPARγ–Ligand Interactions. In: Badr M. (eds) Nuclear Receptors. Methods in Molecular Biology, vol 1966. Humana, New York, NY
  24. Diukendjieva A, Tsakovska I, Alov P, Pencheva T, Pajeva I, Worth AP, Madden JC, Cronin MTD (2019), Advances in the prediction of gastrointestinal absorption: Quantitative Structure-Activity Relationship (QSAR) modelling of PAMPA permeability, Computational Toxicology 10 (2019) 51–59.
  25. Diukendjieva A, Alov P, Tsakovska I, Pencheva T, Richarz A, Kren V, Cronin M, Pajeva I (2019), In vitro and in silico studies of the membrane permeability of natural flavonoids from Silybum marianum (L.) Gaertn. and their derivatives, Phytomedicine, 53, 79-85. IF = 3.610 (2017)
  26. Al Sharif M, Alov P, Diukendjieva A, Vitcheva V, Simeonova R, Krasteva I, Shkondrov A, Tsakovska I, Pajeva I. (2018), Molecular determinants of PPARγ partial agonism and related in silico/in vivo studies of natural saponins as potential type 2 diabetes modulators. Food Chem Toxicol;112:47-59. doi: 10.1016/j.fct.2017.12.009. IF=3.977 (2017)
  27. Al Sharif, M., Diukendjieva, A., Alov, P., Tsakovska, I., Pajeva, I. (2018). Optimized structure-based methodology for studying PPARγ partial agonists. International Journal Bioautomation Volume 22, Issue 1, 2018, Pages 65-72.   SJR = 0.23 (2017)
  28. Al Sharif M, Alov P, Vitcheva V, Diukendjieva A, Mori M, Botta B, Tsakovska I, Pajeva I.(2017) Natural modulators of nonalcoholic fatty liver disease: Mode of action analysis and in silico ADME-Tox prediction. Toxicol Appl Pharmacol. 2017 Dec 15;337:45-66. doi: 10.1016/j.taap.2017.10.013.  IF = 3.705 (2016)
  29. Tsakovska I, Pajeva I, Al Sharif M, Alov P, Fioravanzo E, Kovarich S, Worth AP, Richarz AN, Yang C, Mostrag-Szlichtyng A, Cronin MTD (2017). Quantitative structure-skin permeability relationships. Toxicology, 387, :27-42. doi: 10.1016/j.tox.2017.06.008.  IF = 3.582 (2016)
  30. Diukendjieva А, Al Sharif М, Alov P, Pencheva T, Tsakovska I, Pajeva I (2017) ADME/Tox Properties and Biochemical Interactions of Silybin Congeners: In silico Study, Natural Product Communications, 12(2), 175-178. IF = 0.773 (2016)
  31. Al Sharif M, Tsakovska I, Pajeva I, Alov P, Fioravanzo E, Bassan A, Kovarich S, Yang C, Mostrag-Szlichtyng A, Vitcheva V, Worth AP, Richarz AN, Cronin M.T.D. (2017) The application of molecular modelling in the safety assessment of chemicals: A case study on ligand-dependent PPARγ dysregulation. Toxicology, Toxicology, 392, 140-154. IF = 3.582 (2016)
  32. Jereva, D., F. Fratev, I. Tsakovska, P. Alov, T. Pencheva, I. Pajeva. (2017) Molecular Dynamics Simulation of the Human Estrogen Receptor Alpha: Contribution to the Pharmacophore of the Agonists. Mathematics and Computers in Simulation, 133, 124-134. IF =1.218 (2016)
  33. Alov P, Tsakovska I, Pajeva I (2016) Quantitative Structure-Property Relationship Modelling of Antiradical Properties of Natural Polyphenols Using EVA Vector Descriptor Approach, Comptes rendus de l’Academie bulgare des Sciences, 16(9), 1145-1152. IF = 0.233 (2015)
  34. Burton J., Worth A.P., Tsakovska I., Diukendjieva A. (2016) In Silico Models for Acute Systemic Toxicity. In: Benfenati E. (eds) In Silico Methods for Predicting Drug Toxicity. Methods in Molecular Biology, vol 1425. Humana Press, New York, NY. SJR = 0.585 (2016)
  35. Fratev F, Tsakovska I, Al Sharif M, Mihaylova E, Pajeva I (2015) Structural and Dynamical Insight into PPARγ Antagonism: In Silico Study of the Ligand-Receptor Interactions of Non-Covalent Antagonists, Int J Mol Sci., 16(7):15405-24. IF = 3.257 (2015)
  36. Alov P., I. Tsakovska, I. Pajeva. Computational Studies of Free Radical-Scavenging Properties of Phenolic Compounds. Current Topics in Medicinal Chemistry, 2015, 15(2), 85-104. IF = 2.900 (2015)
  37. Tsakovska I, Al Sharif M, Alov P, Diukendjieva A, Fioravanzo E, Cronin MTD, Pajeva I (2014) Molecular modelling study of the PPARγ receptor in relation to the Mode of Action/Adverse Outcome Pathway framework for liver steatosis. Int. J. Mol. Sci. 15(5): 7651-7666.  IF = 2.862 (2014)
  38. Al Sharif M, Alov P, Vitcheva V, Pajeva I, Tsakovska I (2014) Modes-of-action related to repeated dose toxicity: tissue-specific biological roles of PPARγ ligand-dependent dysregulation in nonalcoholic fatty liver disease, PPAR Research (a special issue PPARs and Metabolic Syndrome), Article ID 432647. IF = 2.509 (2014)
  39. Tsakovska, I., I. Pajeva, P. Alov, A. Worth.  Recent advances in the molecular modelling of estrogen receptor-mediated toxicity.  Adv Protein Chem Struct Biol. 2011, 85, 217-251.  IF = 1.833 (2011)
  40. Tsakovska I., A. Worth. The Use of Computational Methods for the Assessment of Chemicals in REACH. Bioautomation, 2009, 13(4), 151-162.
  41. Tsakovska, I., I. Lessigiarska, T. Netzeva, A.P. Worth. A Mini Review of Mammalian Toxicity (Q)SAR Models, QSAR Comb Sci., 27(1), 2008, 41-48. IF = 2.594 (2008)
  42. Fabjan, E., I. Tsakovska, A. Worth. Appendix 2: Data gap filling in chemical categories: Case study using human health endpoints of the ethylene glycols category. In: Worth A., A. Bassan, E. Fabjan, A.G. Saliner, T. Netzeva, G. Patlewicz, M. Pavan, I. Tsakovska. The Use of Computational Methods in the Grouping and Assessment of Chemicals – Preliminary Investigations. EUR report No 22941 EN, Ispra, Italy: European Commission, Joint Research Centre, 2007, 57-76.
  43. Benigni, R., C. Rossa, T. Netzeva, A. Rodomonte, I. Tsakovska. Mechanistic QSAR of Aromatic Amines: New Models for Discriminating between Mutagens and Nonmutagens, and Validation of Models for Carcinogens. Environ. Mol. Mutagen., 48(9), 2007, 754-771.  IF = 2.743  (2007)
  44. Worth, A., A. Bassan, A.G. Saliner, T. Netzeva, G. Patlewicz, M. Pavan, I. Tsakovska. Possible Application of QSAR Methods to Organic Chemicals, 125-149. In: A Compendium of Case Studies that helped to shape the REACH Guidance on Chemical Categories and Read Across, A. Worth A, G. Patlewicz (Eds). EUR report No 22481 EN. Ispra, Italy: European Commission, Joint Research Centre, 2007.
  45. Tsakovska, I., E. Fabjan, A. Worth. Summary of Discussions on the Use of QSARs, Read-Across and Grouping in the Technical Committee on New and Existing Substances (TC NES), 52-66. In: A Compendium of Case Studies that helped to shape the REACH Guidance on Chemical Categories and Read Across, A. Worth A, G. Patlewicz (Eds). EUR report No 22481 EN. Ispra, Italy: European Commission, Joint Research Centre, 2007.
  46. Saliner, A.G., I. Tsakovska, M. Pavan, G. Patlewicz, A. Worth. Evaluation of SARs for the prediction of skin irritation/corrosion potential. Structural inclusion rules in the BfR decision support system. SAR QSAR Environ. Res., 18(3-4), 2007, 331-342. IF = 1.795  (2007)
  47. Tsakovska, I., A.G. Saliner, T. Netzeva, M. Pavan, A.P. Worth. Evaluation of SARs for the prediction of eye irritation/corrosion potential – structural inclusion rules in the BfR decision support system. SAR QSAR Environ. Res., 18(3-4), 2007, 221-235.  IF = 1.795  (2007)
  48. Worth, A.P., A. Bassan, J. de Bruijn, A.G. Saliner, T. Netzeva, G. Patlewicz, M. Pavan, I. Tsakovska, S. Eisenreich. The role of the European Chemicals Bureau in promoting the regulatory use of (Q)SAR methods. SAR QSAR Environ. Res., 18(1-2), 2007, 111-125. IF = 1.795  (2007)
  49. Vračko, M., V. Bandelj, P. Barbieri, E. Benfenati, Q. Chaudhry, M. Cronin, J. Devillers, A.G. Saliner, G. Gini, P. Gramatica, C. Helma, P. Mazzatorta, D.  Neagu, T. Netzeva, M. Pavan, G. Patlewicz, M. Randić, I. Tsakovska, A. Worth. Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study. SAR QSAR Environ. Res., 17(3), 2006, 265-284. IF = 1.63  (2006)
  50. Tsakovska, I., I. Lessigiarska, T. Netzeva, A.P. Worth. Review of (Q)SARs for Mammalian Toxicity. EUR report No 22486 EN, Ispra, Italy: European Commission, Joint Research Centre, 2006.
  51. Tsakovska, I., I. Pajeva. Phenothiazines and structurally related compounds as modulators of cancer multidrug resistance. Curr. Drug Targets, 7(9), 2006, 1123-1134. IF = 4.274  (2006)
  52. Tsakovska, I., I. Lessigiarska, T. Netzeva, I. Pajeva, A. Worth. Review of quantitative structure–activity relationships for acute mammalian toxicity. Bioautomation, 5, 2006, 90-105.
  53. Pinto-Bazurko, M., I. Tsakovska, I. Pajeva. QSAR and 3D QSAR of inhibitors of the epidermal growth factor receptor, Int. J. Quant. Chem., 106(6), 2006, 1432-1444. IF = 1.182  (2006)
  54. Worth, A.P., A. Bassan, A. Gallegos, T. Netzeva, G. Patlewicz, M. Pavan, I. Tsakovska, M. Vracko. The Characterisation of (Quantitative) Structure-Activity Relationships: Preliminary Guidance. EUR 21866 EN. Ispra, Italy: European Commission, Joint Research Centre, 2005.
  55. Tsakovska I, T. Netzeva, A.P. Worth. Evaluation of (Q)SARs for the Prediction of Eye Irritation/Corrosion Potential -Physicochemical Exclusion Rules. EUR 21897 EN. Ispra, Italy: European Commission, Joint Research Centre, 2005.
  56. Bogdanova, S., I. Pajeva, P. Nikolova, I. Tsakovska, B. Muller. Interactions of poly(vinylpyrrolidone) with ibuprofen and naproxen: experimental and modeling studies. Pharm. Res., 22(5), 2005, 806-815. IF = 2.752  (2005)
  57. Tsakovska, I., M. Pinto-Bazurco, I. Pajeva. Structure-function relationships and rational design of receptor tyrosine kinase inhibitors, Pharmacia , 52(3), 2005, 11-15.  Pharmatsija, SGR = 0.101 (2005)
  58. Pajeva, I., C. Globisch, R. Fleischer, I. Tsakovska, M. Wiese. Molecular modeling of P-glycoprotein and related drugs. Med. Chem. Res., 14(2), 2005, 106-117. IF = 0.286  (2005)
  59. Tsakovska, I. QSAR and 3D QSAR of phenothiazine type multidrug resistance modulators in P388/ADR cells. Bioorg. Med. Chem., 11(13), 2003, 2889-2899. IF = 2.185  (2003)
  60. Tsakovska, I., I. Pajeva. Molecular modeling of triazine type MDR modulators using CoMFA and CoMSIA approaches. SAR QSAR Environ. Res., 13(3-4), 2002, 487-498. IF = 1.082  (2002)
  61. Naydenova, Z.G., K. Grancharov, D. Alargov, E. Golovinsky, I. Stanoeva, L. Shalamanova, I. Pajeva. Inhibition of UDP-glucuronosyltransferase by 5′-O-amino acid and oligopeptide derivatives of uridine: structure-activity relationships. Zeitshrift fur Naturforschung, 53c, 1998, 173-181. IF = 0.839  (1998)

Publications in Bulgarian

  1. Пъжева, И., И. Цаковска, Т. Пенчева, П. Алов, М. Ал Шариф, И. Лесигярска, Ф. Фратев, Д. Жерева, А. Дюкенджиева. In silico изследвания на биологично активни молекули, Списание на БАН, 4, 2018, 3-10.
  2. Пъжева, И., И. Цаковска, Т. Пенчева, П. Алов, И. Лесигярска: Изследване на зависимости “структура-активност” и молекулно моделиране на биологично активни съединения. Списание на БАН, 2009, 2, 41-47.
  3. И. Цаковска: Зависимости между структура и активност на съединения, преодоляващи множествената лекарствена резистентност при тумори. Онкологичен преглед, VI, 4, 1999, 3-9
  4. Станоева (Цаковска), И., Л. Шаламанова, П. Георгиев. Приложение на обобщени мрежи в медицинската информатика: остра антикоагулантна терапия. Сборник с доклади, Младежка Научнопрактическа сесия’98, 3(25), 1998, 148 – 153.
  5. Станоева (Цаковска), И., Л. Шаламанова, Н. Николов. Приложение на обобщени мрежи в медицинската информатика: дългосрочна антикоагулантна терапия. Сборник с доклади, Младежка Научнопрактическа сесия’98, 3(25), 1998, 154 – 159.
  6. Станоева (Цаковска), И., Л. Шаламанова, И. Пъжева. Подходи на молекулното моделиране в изследванията на съединения с противотуморна активност. Онкологичен преглед, IV, 3, 1997, 19-24.
  7. Пъжева, И.К., Л.Д.Шаламанова, И.М.Станоева (Цаковска): Зависимостите структура-активност при изследване на противотуморни лекарства – основни подходи и приложение, Онкологичен преглед, 1996, III, 3-4, 10-14.

Abstracts published in journals with Impact Factor

  1. Richarz A-N, Enoch SJ, Fioravanzo E, Kovarich S, Madden JC, Mellor C, Mostrag-Szlichtyng A, Palczewska A, Przybylak K, Steinmetz F, Tsakovska I, Yang C, Cronin MT. (2015) Chemical and mechanistic similarity based assessment of the cosmetics space supporting the evaluation of cosmetics-related substances TOXICOLOGY LETTERS, 51st Congress of the European-Societies-of-Toxicology (EUROTOX) 238 :S170-S170. IF = 3.262 (2014)
  2. Tsakovska I, Al Sharif M, Fioravanzo E, Bassan A, Kovarich S, Vitcheva V, Mostrag-Szlichtyng A, Yang C, Steinmetz F, Cronin M (2015) In silico approaches to support liver toxicity screening of chemicals: Case study on molecular modelling of ligands–nuclear receptors interactions to predict potential steatogenic effects. Toxicology Letters 238 Supplement: S173. IF = 3.262 (2014)
  3. Vitcheva V, Mostrag-Szlichtyng A, Sacher O, Bienfait B, Schwab CH, Richarz A, Tzakovska I, Al Sharif M, Pajeva I, Yang C (2015) In vivo data mining and in silico metabolic profiling to predict diverse hepatotoxic phenotypes: Case study of piperonyl butoxide. Toxicology Letters 238 Supplement: S173. IF = 3.262 (2014)
  4. Richarz AN, Enoch SJ, Fioravanzo E, Kovarich S, Madden JC, Mellor C, Mostrag-Szlichtyng A, Palczewska A, Przybylak K, Steinmetz F, Tsakovska I, Yang C, Cronin MTD. 2015. Chemical and mechanistic similarity based assessment of the cosmetics space supporting the evaluation of cosmetics-related substances. Toxicology Letters 238 Suppl S170. IF = 3.262 (2014)
  5. Vitcheva V, Al Sharif M, Tsakovska I, Alov P, Mostrag-Szlichtyng A, Cronin MTD, Yang C, Pajeva I (2014) Description of the MoA/AOP linked with PPARgamma receptor dysregulation leading to liver fibrosis. Toxicology Letters 229 Supplement: S49. IF = 3.262 (2014)
  6. Al Sharif M, Tsakovska I, Alov P, Vitcheva V, Pajeva I (2014) PPARγ-related hepatotoxic mode-of-action: quantitative characterization and in silico study of the molecular initiating event involving receptor activation. Altex Proceedings 3, 1/14: 56-57. IF = 5.467 (2014)
  7. Al Sharif M, Alov P, Cronin M, Fioravanzo E, Tsakovska I, Vitcheva V, Worth A, Yang C, Pajeva I (2013) Toward better understanding of liver steatosis MoA: Molecular modelling study of PPAR gamma receptor. Toxicology Letters 221 Supplement: S85. IF = 3.262 (2014)
  8. Vitcheva V, Mostrag-Szychtying A, Nelms M, Alov P, Enoch S, Tsakovka I, Rathman J, Cronin M. 2013. Data mining toxicity effects through an ontology approach to investigate toxicity mode of action Toxicology Letters, Supplement: S80. IF = 3.355 (2013)
  9. Yang C, Ambrosio M, Arvidson K, Barlow S, Boobis A, Checheva M, Cronin M, Felter S, Fioravanzo E, Hollnagel H, Hristozov D, Jacobs K, Keller D, Mostrag-Szylchtying A, Nelms M, Rathman J, Richarz A, Tsakovska I, Vidry S, Vitcheva V, Worth A. (2013) Development of new COSMOS oRepeatDose and non-cancer Threshold of Toxicological Concern (TTC) databases to support alternative testing methods for cosmetics related chemicals Toxicology Letters, 221, Supplement. IF = 3.355 (2013)
  10. Fioravanzo E, Bassan A, Cronin MTD, Kovarich S, Manelfi C, Richarz A-N, Tsakovska I, Worth AP. 2013. Molecular modelling of LXR binding to evaluate the potential for liver steatosis TOXICOLOGY LETTERS, 221 :S83. IF = 3.355 (2013)

Publications in proceedings of conferences

  1. Diukendjieva A, Al Sharif M., Tsakovska I, Pencheva T, Alov P, Pajeva I, In silico study of natural compounds: prediction of metabolism, toxicity and biochemical interactions.  Proceedings of the Humboldt Kolleg: Scientific reports, Faber Publishing House, 2018, ISBN:978-619-00-
  2. Diukendjieva A., L. Marinov, P. Alov, I. Tsakovska, I. Pajeva. In silico modelling to predict transcellular permeability of bioactive compounds. Series G. Medicine, Pharmacy and Dental medicine, Union of Scientists in Bulgaria – Plovdiv, Vol. XVII, p. 187-190, 2015. ISSN 1311-9427
  3. Al Sharif M, Alov P, Tsakovska I, Pajeva I. (2015) In silico modelling of full PPARγ agonists: a step towards liver steatosis risk assessment, International Conference Of Young Scientists, 11 – 12 June 2015, Plоvdiv, Bulgaria, Scientific Researches of the Union of Scientists in Bulgaria – Plovdiv, Series G. Medicine, Pharmacy and Dental medicine, Vol. XVII, p. 182-186, ISSN1311-9427
  4. Tsakovska, I., L. Shalamanova, I. Pajeva. QSAR and molecular modeling study of phenothiazines and structurally related compounds as multidrug resistance modulators, In: Biprocess Systems’ 2001, Proceedings of 14th International Symposium and Young Scientists’ School, October 1-3, 2001, Sofia, Bulgaria, III, 27-30.
  5. Tsakovska, I., I. Pajeva: Molecular modeling of new triazine derivatives as modulators of multidrug resistance. In: Current trends in the development of fundamental and applied sciences, N. Lazarov, L. Lazarov, K. Halacheva (Eds.), Vol. 2, 1999, 83-89.
  6. Pajeva, I., I. Tsakovska: Structure-activity relationships and molecular modeling of multidrug resistance modifiers. In: Modern trends in development of fundamental and applied sciences, N. Lazarov, L. Lazarov, K. Halacheva (Eds.), Vol. 2, 1999, 76-82.

Comments are closed.