Bakhtiyor Rasulev

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Associate Professor

North Dakota State University

United States

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Recent Grants

Grant: Close

MRI: Acquisition of a High-Performance Computing System for Scientific Research and Education at NDSU

Open Date: 2020-10-01

Close Date: 2023-09-30

Grant: Close

D3SC: Integrated Studies on Designing Organometallic Complexes with Nonlinear Absorption and Near-Infrared Emission

Open Date: 2018-08-01

Close Date: 2021-07-31

Grant: Close

Modeliranje okolišnih aspekata napredne obrade voda za razgradnju prioritetnih onečišćivala

Open Date: 2015-09-01

Close Date: 2019-08-31

Articles (16)

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2022

Collaborators (7)

Daniel Baecker

Freie Universität Berlin

GERMANY

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Dmitri Kilin

Associate Professor

North Dakota State University

UNITED STATES

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Humberto González-Díaz

University of the Basque Country

SPAIN

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Aniruddh Vashisth

Assistant Professor

University of Washington

UNITED STATES

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Hai Pham-The

Visiting professor

North Dakota State University

UNITED STATES

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Svetlana Kilina

North Dakota State University

UNITED STATES

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Senay Simsek

Professor, Department Head

Purdue University

UNITED STATES

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Bakhtiyor Rasulev

Research Interests

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Contact this professor

Recent Grants

Articles (16)

Phenolic Acid–β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR Study

Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning Modeling

From RNA sequence to its three-dimensional structure: geometrical structure, stability and dynamics of selected fragments of SARS-CoV-2 RNA

Relationships between the Photodegradation Reaction Rate and Structural Properties of Polymer Systems

Combined Machine Learning, Computational, and Experimental Analysis of the Iridium(III) Complexes with Red to Near-Infrared Emission

Design and evaluation of nanoscale materials with programmed responsivity towards epigenetic enzymes

Stability Constant and Potentiometric Sensitivity of Heavy Metal–Organic Fluorescent Compound Complexes: QSPR Models for Prediction and Design of Novel Coumarin-like Ligands

Development of Activity Rules and Chemical Fragment Design for In Silico Discovery of AChE and BACE1 Dual Inhibitors against Alzheimer’s Disease

Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives

Structural Features Promoting Photocatalytic Degradation of Contaminants of Emerging Concern: Insights into Degradation Mechanism Employing QSA/PR Modeling

In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach

The Hydrolysis Rate of Paraoxonase-1 Q and R Isoenzymes: An In Silico Study Based on In Vitro Data

Machine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds

Reactive Molecular Dynamics Study of Hygrothermal Degradation of Crosslinked Epoxy Polymers

Molecular Dynamics Study of the Photodegradation of Polymeric Chains

Synergistic Behavior of Plant Proteins and Biobased Latexes in Bioplastic Food Packaging Materials: Experimental and Machine Learning Study

Collaborators (7)

Daniel Baecker

Dmitri Kilin

Humberto González-Díaz

Aniruddh Vashisth

Hai Pham-The

Svetlana Kilina

Senay Simsek

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