Bakhtiyor Rasulev

Dr. Bakhtiyor Rasulev is a professor at Department of Coatings and Polymeric Materials (North Dakota State University). He received his PhD degree in Chemistry in 2002 from Uzbek Academy of Sciences. Dr. Rasulev's scientific interests are in machine learning-based cheminformatics and structure-activity relationship studies, dealing with biological activity prediction, physico-chemical and toxicity prediction of chemicals, including nanoparticles and polymers. He is an author of many contributions devoted to nanomaterials and polymeric materials, cheminformatics modeling and quantum-chemical applications. Dr. Rasulev has close collaboration with the Jackson State University (USA), University of Zagreb (Croatia), National Institute of Chemistry (Slovenia), University of Gdansk (Poland), Instituto di Ricerche Farmacologiche Mario Negri (Italy), Johns Hopkins University (USA) and etc. His accomplishments have been widely recognized. He is a permanent reviewer of more than 20 peer-reviewed journals. Dr. Rasulev has received many scholarships and awards, including Scholarship of Drew University (Residential School of Medicinal Chemistry, Madison, NJ), Young Investigators Award from Toxicological Division of ACS, award from CRDF Foundation, UNESCO Scholarship to visit the Institute of Desert Study of Ben-Gurion University (Israel).

Publications

QSAR/QSPR in Polymers: Recent Developments in Property Modeling
QSAR/QSPR in Polymers: Recent Developments in Property Modeling
Bakhtiyor Rasulev, Gerardo Casanola-Martin. © 2020. 9 pages.
Predictive modeling of the properties of polymers and polymeric materials is getting more attention, while it is still very complicated due to complexity of these materials. In...
Structure-Hepatoprotective Activity Relationship Study of Iridoids: A QSAR Analysis
Structure-Hepatoprotective Activity Relationship Study of Iridoids: A QSAR Analysis
Durbek Usmanov, Bakhtiyor Rasulev, Vladimir Syrov, Ugiloy Yusupova, Nurmurod Ramazonov. © 2020. 11 pages.
Iridoids, the largest class of monoterpenoids, are widespread group of substances present in various plant organisms. This study is devoted to investigation of the...
International Journal of Applied Nanotechnology Research (IJANR)
International Journal of Applied Nanotechnology Research (IJANR)
Bakhtiyor Rasulev. Est. 2019.
The International Journal of Applied Nanotechnology Research (IJANR) publishes key research that addresses the science and technology of nanosized and micro-sized materials...
QSPR/QSAR Analyses by Means of the CORAL Software: Results, Challenges, Perspectives
QSPR/QSAR Analyses by Means of the CORAL Software: Results, Challenges, Perspectives
Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati, Orazio Nicolotti, Angelo Carotti, Karel Nesmerak, Aleksandar M. Veselinović, Jovana B. Veselinović, Pablo R. Duchowicz, Daniel Bacelo, Eduardo A. Castro, Bakhtiyor F. Rasulev, Danuta Leszczynska, Jerzy Leszczynski. © 2017. 27 pages.
In this chapter, the methodology of building up quantitative structure—property/activity relationships (QSPRs/QSARs)—by means of the CORAL software is described. The Monte Carlo...
International Journal of Quantitative Structure-Property Relationships (IJQSPR)
International Journal of Quantitative Structure-Property Relationships (IJQSPR)
Mihai V. Putz. Est. 2016.
The International Journal of Quantitative Structure-Property Relationships (IJQSPR) is a new journal that will explore the latest research surrounding the topic of Quantitative...
Journal of Nanotoxicology and Nanomedicine (JNN)
Journal of Nanotoxicology and Nanomedicine (JNN)
Bakhtiyor Rasulev. Est. 2016.
The Journal of Nanotoxicology and Nanomedicine (JNN) publishes key research that addresses the potential opportunities, hazards, and risks associated with human and environmental...
QSPR/QSAR Analyses by Means of the CORAL Software: Results, Challenges, Perspectives
QSPR/QSAR Analyses by Means of the CORAL Software: Results, Challenges, Perspectives
Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati, Orazio Nicolotti, Angelo Carotti, Karel Nesmerak, Aleksandar M. Veselinović, Jovana B. Veselinović, Pablo R. Duchowicz, Daniel Bacelo, Eduardo A. Castro, Bakhtiyor F. Rasulev, Danuta Leszczynska, Jerzy Leszczynski. © 2015. 26 pages.
In this chapter, the methodology of building up quantitative structure—property/activity relationships (QSPRs/QSARs)—by means of the CORAL software is described. The Monte Carlo...
Nanoparticles: Towards Predicting Their Toxicity and Physico-Chemical Properties
Nanoparticles: Towards Predicting Their Toxicity and Physico-Chemical Properties
Bakhtiyor Rasulev, Danuta Leszczynska, Jerzy Leszczynski. © 2014. 19 pages.
Nanomaterials are becoming an important component of the modern life and have been the subject of increasing number of investigations involving various areas of natural sciences...
Nanoparticles: Towards Predicting Their Toxicity and Physico-Chemical Properties
Nanoparticles: Towards Predicting Their Toxicity and Physico-Chemical Properties
Bakhtiyor Rasulev, Danuta Leszczynska, Jerzy Leszczynski. © 2012. 19 pages.
Here, the authors show that an application of the QSAR methods for nanomaterials is nevertheless possible and can be useful in predicting their various properties and activities...