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Ariful Islam
Researcher at Research Department
Cholinesterase And Neurodegenerative Diseases
Drug Discovery
Iot And Edge/Fog Computing
Machine Learning
Synthesis And Biological Activity
220
Citations
6
H-index
0
Patents
11
Publications
0
Grants
$0
Total Funding
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Research Contributions
Identification of SARS-CoV-2 Main Protease Inhibitors
Conducted virtual screening and molecular dynamics simulations to identify potential inhibitors of the main protease from SARS-CoV-2, contributing to the understanding of potential drug targets.
Briefings in Bioinformatics (2020)
Molecular Docking and Dynamics Study of Natural Compounds
Investigated natural compounds for their potential to inhibit the main protease of SARS-CoV-2 using molecular docking and dynamics simulations.
Journal of Biomolecular Structure and Dynamics (2020)
Neuroprotective Potential of Spice Plant-Derived Compounds
Explored the neuroprotective potential of spice plant-derived compounds against Alzheimer's disease through computational studies, providing insights into potential therapeutic agents.
International Journal of Alzheimer s Disease (2023)
Robustness of Neural Networks to Parameter Quantization
Investigated the robustness of neural networks to parameter quantization, contributing to the understanding of model stability and efficiency.
arXiv (Cornell University) (2019)
Glucosinolates and Indole-3-carbinol as E. coli CdtB inhibitors
Studied Glucosinolates and Indole-3-carbinol from Brassica oleracea L. as inhibitors of E. coli CdtB using molecular docking, dynamics, and in vitro assays.
In Silico Pharmacology (2024)
EEG Signal Classification for Mental Stress
Developed a method for classifying EEG signals for mental stress during arithmetic tasks using wavelet transformation and statistical features.
2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI) (2021)
Research Highlights
Ariful Islam is a researcher specializing in computational biology and drug discovery, with a focus on applying machine learning and bioinformatics to understand and combat diseases like Alzheimer's and COVID-19. His work includes virtual screening, molecular dynamics simulations, and the development of novel therapeutic approaches.
Research Areas
Cholinesterase And Neurodegenerative DiseasesDrug DiscoveryIot And Edge/Fog ComputingMachine LearningSynthesis And Biological Activity
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