Bakhtiyor Rasulev

Dakota State University — United States

Computer Science · Physical Sciences

38h-index5.1kcitations198works4.72yr avg
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Research Topics

Computational Drug Discovery Methods(82), Nanoparticles: synthesis and applications(23), Fullerene Chemistry and Applications(20), Machine Learning in Materials Science(19), Cholinesterase and Neurodegenerative Diseases(13)

Publications198 total

Machine learning based assessment of the toxicity of polymeric materials to green algae as an approach to design non-toxic polymeric coatings to deter marine biofouling
Results in Chemistry·2025Open Access
Epoxidized Soybean Oil Cross-Linked Fluoropolymer Coatings: Electrochemical and Computational Approaches
ACS Sustainable Chemistry & Engineering·2025
In silico study of the solubility of fullerene derivatives in chlorobenzene
Results in Chemistry·2025Open Access
A Quantitative Structure–Activity Relationship Study of the Anabolic Activity of Ecdysteroids
Computation·2025· 1 citedOpen Access
SARS-CoV-2 RNA’s Dual Identity: G-Quadruplex versus Hairpin
ACS Omega·2025· 1 citedOpen Access
FAPS: A Fast Platform for Protein Structureomics Analysis
arXiv (Cornell University)·2025Open Access
Accelerating the Design of Cu(I) Complexes with Near-Infrared Absorption by Interpretable Machine Learning Approaches
2025Open Access
CombinatorixPy: Advancing mixture descriptors for computational chemistry
SoftwareX·2025· 1 citedOpen Access
Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling
ACS Applied Materials & Interfaces·2025· 10 citedOpen Access
Applications of Predictive Modeling for Fullerenes
Challenges and advances in computational chemistry and physics·2025
Determination and Metrological Valuation of Cr(III) ions in Environmental Objects Using the Sorption-Spectroscopuc Method
SSRN Electronic Journal·2025Open Access
Spin-Controllable Dynamics in Defect-Engineered Carbon Nanotubes as Single Photon Emitters: Data-Driven Modeling and Computations
2024Open Access
Mixture-Based Machine Learning Analysis to Predict Fouling Release Using Insights from Newly Developed Mixture Descriptors
Preprints.org·2024· 1 citedOpen Access
Similarity Analysis of Computer-Generated and Commercial Libraries for Targeted Biocompatible Coded Amino Acid Replacement
International Journal of Molecular Sciences·2024Open Access
Veratridine, a plant-derived alkaloid, suppresses the hyperactive Rictor-mTORC2 pathway: a new targeted therapy for primary and metastatic colorectal cancer
2024· 1 citedOpen Access
Machine learning analysis of a large set of homopolymers to predict glass transition temperatures
Communications Chemistry·2024· 24 citedOpen Access
MixtureMetrics: A comprehensive package to develop additive numerical features to describe complex materials for machine learning modeling
SoftwareX·2024· 3 citedOpen Access
Enhancing Plant Protein-Based Bioplastics with Natural Additives: A Comprehensive Study by Experimental and Computational Approaches
ACS Sustainable Chemistry & Engineering·2024· 5 cited
Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)
Polymers·2024· 10 citedOpen Access
Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)
Preprints.org·2024· 2 citedOpen Access
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Frequent Co-authors

Jerzy Leszczyński(29), Danuta Leszczyńska(13), Tomasz Puzyn(10), Agnieszka Gajewicz(8), Andrey A. Toropov(8), Hrvoje Kušić(6), Malakhat A. Turabekova(6), Alicja Mikołajczyk(4), Natalia Sizochenko(4), Ana Lončarić Božić(4), Emilio Benfenati(3), Anas Karuth(3), Lucky Ahmed(3), Farukh Jabeen(3), Martin Ossowski(3), Philip Boudjouk(3), Matija Cvetnić(3), Šime Ukić(3), Tomislav Bolanča(3), Nicole M. Schaeublin(2)