S. Dimitrov

发表

Base-line model for identifying the bioaccumulation potential of chemicals

S Dimitrov, M Comber, O Mekenyan, 2005, SAR and QSAR in environmental research.

Investigating the relationship between in vitro-in vivo genotoxicity: derivation of mechanistic QSAR models for in vivo liver genotoxicity and in vivo bone marrow micronucleus formation which encompass metabolism.

Romualdo Benigni, Sabcho D Dimitrov, Masamitsu Honma, 2012, Chemical research in toxicology.

Simulation of chemical metabolism for fate and hazard assessment. V. Mammalian hazard assessment

S Dimitrov, O Mekenyan, M Todorov, 2012, SAR and QSAR in environmental research.

A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH.

Emilio Benfenati, Silke Gabbert, Ralph Kühne, 2013, Regulatory toxicology and pharmacology : RTP.

Simulation of chemical metabolism for fate and hazard assessment. IV. Computer-based derivation of metabolic simulators from documented metabolism maps

S. Dimitrov, O. Mekenyan, O. Mekenyan, 2012, SAR and QSAR in environmental research.

Application of in Silico Metabolism and Environmental Degradation Data to Support Chemical PBT Assessment

G. Veith, O. Mekenyan, S. Dimitrov, 2014 .

The Adverse Outcome Pathway for Skin Sensitisation: Moving Closer to Replacing Animal Testing

Terry W Schultz, Sabcho Dimitrov, T. Schultz, 2016, Alternatives to laboratory animals : ATLA.

In silico mechanistically-based profiling module for acute oral toxicity

O. Mekenyan, D. Nedelcheva, S. Dimitrov, 2019, Computational Toxicology.

What determines skin sensitization potency–myths, maybes and realities. Part 1. The 500 molecular weight cut‐off

D. Roberts, O. Mekenyan, S. Dimitrov, 2013, Contact dermatitis.

Interspecies Modeling of Narcotics Toxicity to Aquatic Animals

S D Dimitrov, T W Schultz, T. Schultz, 2000, Bulletin of environmental contamination and toxicology.

Elimination kinetic model for organic chemicals in earthworms.

O. Mekenyan, C. A. V. van Gestel, D. Spurgeon, 2010, The Science of the total environment.

CATALOGIC 301C model – validation and improvement

S D Dimitrov, N D Todorova, O G Mekenyan, 2017, SAR and QSAR in environmental research.

Predicting the biodegradation products of perfluorinated chemicals using CATABOL

John D. Walker, S Dimitrov, J D Walker, 2004, SAR and QSAR in environmental research.

Bioaccumulation Assessment Using Predictive Approaches

Mark Bonnell, Sabcho D Dimitrov, Nynke I Kramer, 2009, Integrated environmental assessment and management.

Skin Sensitization: Modeling Based on Skin Metabolism Simulation and Formation of Protein Conjugates

Petra S. Kern, Ovanes G. Mekenyan, G. Patlewicz, 2005, International journal of toxicology.

UVCB substances: Methodology for structural description and application to fate and hazard assessment

Sabcho D Dimitrov, Denitsa G Georgieva, Todor S Pavlov, 2015, Environmental toxicology and chemistry.

A feasibility study: Can information collected to classify for mutagenicity be informative in predicting carcinogenicity?

Sabcho D Dimitrov, Ovanes G Mekenyan, Masamitsu Honma, 2015, Regulatory toxicology and pharmacology : RTP.

A systematic approach to simulating metabolism in computational toxicology. I. The TIMES heuristic modelling framework.

Sabcho D Dimitrov, Gilman D Veith, G. Veith, 2004, Current pharmaceutical design.

A Stepwise Approach for Defining the Applicability Domain of SAR and QSAR Models

Gergana Dimitrova, Ovanes Mekenyan, Grace Patlewicz, 2005, J. Chem. Inf. Model..

UVCB substances II: Development of an endpoint‐nonspecific procedure for selection of computationally generated representative constituents

Mike Comber, Sabcho D Dimitrov, Yordan H Karakolev, 2019, Environmental toxicology and chemistry.

TIMES-SS--a promising tool for the assessment of skin sensitization hazard. A characterization with respect to the OECD validation principles for (Q)SARs and an external evaluation for predictivity.

Petra S Kern, Sabcho D Dimitrov, Grace Patlewicz, 2007, Regulatory toxicology and pharmacology : RTP.

QSAR Toolbox – workflow and major functionalities*

S D Dimitrov, R Diderich, T Sobanski, 2016, SAR and QSAR in environmental research.

Probabilistic assessment of biodegradability based on metabolic pathways: CATABOL System

S Dimitrov, J Jaworska, N Nikolova, 2002, SAR and QSAR in environmental research.

Development of a biodegradation model for the prediction of metabolites in soil.

S Dimitrov, O Mekenyan, O. Mekenyan, 2010, The Science of the total environment.

A kinetic model for predicting biodegradation

S Dimitrov, M Comber, O Mekenyan, 2007, SAR and QSAR in environmental research.

Bioconcentration potential predictions based on molecular attributes – an early warning approach for chemicals found in humans, birds, fish and wildlife

Gilman D. Veith, Ovanes Mekenyan, John D. Walker, 2003 .

Mechanistic relationship between biodegradation and bioaccumulation. Practical outcomes.

T. Schultz, O. Mekenyan, S. Dimitrov, 2019, Regulatory toxicology and pharmacology : RTP.

Charged partial surface area (CPSA) descriptors QSAR applications

S Dimitrov, D. T. Stanton, O. Mekenyan, 2002, SAR and QSAR in environmental research.

Simulation of chemical metabolism for fate and hazard assessment. III. New developments of the bioconcentration factor base-line model

S Dimitrov, O Mekenyan, O. Mekenyan, 2012, SAR and QSAR in environmental research.

Simulation of chemical metabolism for fate and hazard assessment. I. Approach for simulating metabolism

S Dimitrov, O Mekenyan, G. Veith, 2011, SAR and QSAR in environmental research.

Simulation of chemical metabolism for fate and hazard assessment. II CATALOGIC simulation of abiotic and microbial degradation

S Dimitrov, O Mekenyan, O. Mekenyan, 2011, SAR and QSAR in environmental research.

Using HPV Chemical Data to Develop QSARs for Non‐HPV Chemicals: Opportunities to Promote More Efficient Use of Chemical Testing Resources

Ovanes Mekenyan, John D. Walker, S. Dimitrov, 2003 .

Interspecies quantitative structure‐activity relationship model for aldehydes: Aquatic toxicity

Ovanes Mekenyan, John D. Walker, John D Walker, 2004, Environmental toxicology and chemistry.

Predicting bioconcentration factors of highly hydrophobic chemicals. Effects of molecular size

Gilman D. Veith, Ovanes Mekenyan, John D. Walker, 2002 .

Identification of the structural requirements for mutagenicity by incorporating molecular flexibility and metabolic activation of chemicals I: TA100 model.

Ovanes Mekenyan, Stefan Kotov, Rossitsa Serafimova, 2004, Chemical research in toxicology.