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M. S. Neiband

Observed names: M.S Neiband, Marzeih Sadat Neiband, Marzieh Sadat Neiband, neiband, Marzieh sadat
ORCID: 0000-0002-2829-4050
Observed ORCID: 0000-0002-2829-4050
OpenAlex ID: A5041460899
Deriving general structure–activity/selectivity relationship patterns for different subfamilies of cyclin-dependent kinase inhibitors using machine learning methods
2024 · Sara Kaveh, Ahmad Mani-Varnosfaderani, et al. · Scientific Reports · 9
Development of classification models for identification of important structural features of isoform-selective histone deacetylase inhibitors (class I)
2019 · M. S. Neiband, A. Benvidi, et al. · Molecular Diversity · 8
Simultaneous interactions of pyridine with substituted benzene ring and H–F in X-ben⊥pyr···H–F complexes: a cooperative study
2011 · Ali Reza Gholipour, Hassan Saydi, et al. · Structural Chemistry · 8
Identification of molecular features necessary for selective inhibition of B cell lymphoma proteins using machine learning techniques
2018 · Ahmad Mani-Varnosfaderani, Marzieh Sadat Neiband, et al. · Molecular Diversity · 7
Classification of sphingosine kinase inhibitors using counter propagation artificial neural networks: A systematic route for designing selective SphK inhibitors
2017 · M. S. Neiband, A. Mani-Varnosfaderani, et al. · SAR and QSAR in environmental research · 7
General structure-activity/selectivity relationship patterns for the inhibitors of the chemokine receptors (CCR1/CCR2/CCR4/CCR5) with application for virtual screening of PubChem database
2023 · M. Darsaraee, S. Kaveh, et al. · Journal of Biomolecular Structure and Dynamics · 4
General structure-activity relationship models for the inhibitors of Adenosine receptors: A machine learning approach
2025 · M. Janbozorgi, S. Kaveh, et al. · Molecular Diversity · 2
From Molecular Descriptors to Drug-Target Selectivity: An Interpretable Machine-Learning Framework for JAK Inhibitor Profiling and Virtual Screening
2026 · Kaveh, Sara, Mani-Varnosfaderani, Ahmad, et al. · Zenodo (CERN European Organization for Nuclear Research)
Classification of sphingosine kinase inhibitors using counter propagation artificial neural networks: A systematic route for designing selective SphK inhibitors
2017 · M. S. Neiband, A. Mani-Varnosfaderani, et al. · Figshare
Works count: 9
Citation count: 45
H-index: 5
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