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Selected publications
PhD Thesis
- Study of the Ligand-Dependent Dysregulation of PPARγ: Adverse Outcome Pathways Development and Molecular Modelling (7142 Kb, PDF)
- Appendix B. AOP Evaluation Table (63 Kb, PDF)
Publications in international and national scientific journals
- Odjakova, M., Popova, E., Al Sharif, M., Mironova, R.. „Plant-Derived Agents with Anti-Glycation Activity, Glycosylation”, in “Glycosylation”, Dr. Stefana Petrescu (Ed.), InTech, 2012, 223-256 (ISBN: 978-953-51-0771-2; DOI: 10.5772/48186). 2012, DOI:10.5772/48186, 223-256
- Al Sharif, M., Alov, P., Cronin, M., Fioravanzo, E., Tsakovska, I., Vitcheva, V., Worth, A., Yang, C., Pajeva, I.. Toward better understanding of liver steatosis MoA: Molecular modelling study of PPAR gamma receptor. Toxicology Letters, 221, Elsevier, 2013, ISSN:0378-4274, DOI:10.1016/j.toxlet.2013.05.099, S85-S85. ISI IF: 3.355 (2013), Q2
- Al Sharif, M., Alov, P., Vitchevap, V., Pajeva, I., Tsakovska, I.. Modes-of-action related to repeated dose toxicity: tissue-specific biological roles of PPARγ ligand-dependent dysregulation in nonalcoholic fatty liver disease. PPAR Research, 2014, 2014, ISSN:1687-4765, DOI:10.1155/2014/432647, ISI IF: 2.509 (2014), Q2
- Tsakovska, I., Al Sharif, M., Alov, P., Diukendjieva, A., Fioravanzo, E., Cronin, M.T.D., Pajeva, I.. Molecular modelling study of the PPARγ receptor in relation to the mode of action/adverse outcome pathway framework for liver steatosis. International Journal of Molecular Sciences, 15, 5, MDPI AG, BASEL, SWITZERLAND, 2014, ISSN:1422-0067, DOI:10.3390/ijms15057651, 7651-7666. ISI IF: 2.862 (2014), Q2
- Al Sharif, M., Alov, P., Tsakovska, I., Pajeva, I.. In silico modelling of full PPARγ agonists: a step towards liver steatosis risk assessment. Series G. Medicine, Pharmacy and Dental medicine, XVII, 2015, ISSN:1311-9427, 182-186
- Fratev, F., Tsakovska, I., Al Sharif, M., Mihaylova, E., Pajeva, I.. Structural and Dynamical Insight into PPARγ Antagonism: In Silico Study of the Ligand-Receptor Interactions of Non-Covalent Antagonists. International Journal of Molecular Sciences, 16, 7, 2015, ISSN:1422-0067, 15405-15424. ISI IF: 3.257 (2015), Q2
- Vitcheva, V., Mostrag-Szlichtyng, A., Sacher, O., Bienfait, B., Schwab, C.H., Richarz, A.-N., Tsakovska, I., Al Sharif, M., Pajeva, I., Yang, C.. In vivo data mining and in silico metabolic profiling to predict diverse hepatotoxic phenotypes: Case study of piperonyl butoxide. Toxicology Letters, 238, 2, supplement, Elsevier B.V., 2015, ISSN:0378-4274, DOI:10.1016/j.toxlet.2015.08.586, S173-S173. ISI IF: 3.522 (2015), Q1
- Al Sharif, M., Alov, P., Vitcheva, V., Diukendjieva, A., Mori, M., Botta, B., Tsakovska, I., Pajeva, I.. Natural modulators of nonalcoholic fatty liver disease: Mode of action analysis and in silico ADME-Tox prediction. Toxicol Appl Pharmacol, 337, Elsevier, 2017, ISSN:0041-008X, DOI:10.1016/j.taap.2017.10.013, 45-66. ISI IF: 3.616 (2017), Q1
- Al Sharif, M., Tsakovska, I., Pajeva, I., Alov, P., Fioravanzo, E., Bassan, A., Kovarich, S., Yang, C., Mostrag-Szlichtyng, A., Vitcheva, V., Worth, A.P., Richarz, A.N., Cronin, M.T.D.. The application of molecular modelling in the safety assessment of chemicals: A case study on ligand-dependent PPARγ dysregulation. Toxicology, Elsevier, 2017, ISSN:0300-483X, DOI:10.1016/j.tox.2016.01.009, ISI IF: 3.265 (2017), Q2
- Diukendjieva, A., Al Sharif, M., Alov, P., Pencheva, T., Tsakovska, I., Pajeva, I.. ADME/Tox Properties and Biochemical interactions of Silybin Congeners: In Silico Study. Natural Product Communications, 12, 2, 2017, ISSN:1555-9475, 175-178. ISI IF: 0.809 (2017), Q4
- Tsakovska, I., Pajeva, I., Al Sharif, M., Alov, P., Fioravanzo, E., Kovarich, S., Worth, A.P., Richarz, A.-N., Yang, C., Mostrag-Szlichtyng, A., Cronin, M.T.D.. Quantitative structure-skin permeability relationships. Toxicology, 387, Elsevier B.V., 2017, ISSN:0300-483X, DOI:10.1016/j.tox.2017.06.008, 27-42. ISI IF: 3.265 (2017), Q2
- Al Sharif, M., Alov, P., Diukendjieva, A., Vitcheva, V., Simeonova, R., Krasteva, I., Shkondrov, A., Tsakovska, I., Pajeva, I.. 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, Elsevier, 2018, ISSN:0278-6915, DOI:10.1016/j.fct.2017.12.009, 47-59. ISI IF: 3.775 (2018), Q1
- Al Sharif, M., Diukendjieva, A., Alov, P., Tsakovska, I., Pajeva, I.. Optimized Structure-based Methodology for Studying PPARγ Partial Agonists. Int J Bioautomation, 22, 1, BAS, Institute of Biophysics and Biomedical Engineering, 2018, ISSN:1314-2321, DOI:10.7546/ijba.2018.22.1.65-72, 65-72. SJR:0.25
- 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:978-619-00-0827-9, 24-33
- Пъжева, И., Цаковска, И., Пенчева, Т., Ал Шариф, М., Лесигярска, И, Фратев, Ф., Жерева, Д., Дюкенджиева, А.. IN SILICO ИЗСЛЕДВАНИЯ НА БИОЛОГИЧНО АКТИВНИ МОЛЕКУЛИ. Списание на БАН, CXXVI, 4, Издателство “Марин Дринов”, 2018, ISSN:0007-3989, 3-10
- Al Sharif, M., Vitcheva, V., Simeonova, R., Krasteva, I., Manov, V., Alov, P., Popov, G., Shkondrov, A., Pajeva, I.. In silico and in vivo studies of Astragalus glycyphylloides saponin(s) with relevance to metabolic syndrome modulation. Food Chem Toxicol, 130, Elsevier, 2019, ISSN:0278-6915, DOI:10.1016/j.fct.2019.05.032, 317-325. ISI IF: 3.775 (2018), Q1