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Shibam Mondal
Institutions:
Khulna University,
Kennesaw State University
Observed institutions:
Khulna University,
Kennesaw State University
ORCID:
0009-0003-5817-8696
Observed ORCID:
0009-0003-5817-8696
OpenAlex ID:
A5113195932
Identification of Helicobacter pylori‐carcinogenic TNF‐alpha‐inducing protein inhibitors via daidzein derivatives through computational approaches
2024
·
Jehad Zuhair Tayyeb
, Shibam Mondal
, et al.
·
Journal of Cellular and Molecular Medicine
·
11
Artificial Intelligence and Machine Learning in Pharmaceutical Sciences: Unpacking Regulatory Guidance, Opportunities, and Challenges for Safe and Effective Drug Development
2025
·
Md Reaz Uddin
, Md Shafiqul Islam Sovon
, et al.
·
SSRN Electronic Journal
·
8
Identification of natural inhibitors targeting MMP-9 via network pharmacology and advanced molecular modeling approaches
2025
·
Md Reaz Uddin
, Sumaiya Tasnim Zahed
, et al.
·
Next research.
·
4
Withaferin A and its Derivatives as Potential Anti-cancer Drug Lead Candidates: An In-silico Drug Design
2025
·
Md Reaz Uddin
, Shibam Mondal
, et al.
·
Dhaka University Journal of Pharmaceutical Sciences
·
2
PDF
Identifying the Worthy and Compatible Excipients Through In-Silico Approach for Rational Formulation Development: Insights into the Acyclovir and Trimethoprim Formulations
2025
·
Abhijeet H. Patil
, Meera C. Singh
, et al.
·
Journal of Pharmaceutical Innovation
·
1
Network Pharmacology-Guided Discovery and Computational Validation of Pinocembrin-Based Anticancer Inhibitors Targeting Mmp9, Tp53, and Hif1α Through Molecular Docking, Admet Profiling, and Molecular Dynamics Simulations
2025
·
Md Reaz Uddin
, Abu Sadat Muhammod Saiyem
, et al.
·
SSRN Electronic Journal
·
1
Network Pharmacology-Guided Discovery and Computational Validation of Pinocembrin-Based Anticancer Inhibitors Targeting MMP9, TP53, and HIF1α through Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulations
2025
·
Md Reaz Uddin
, Golam Gaus Mohiuddin
, et al.
·
SSRN Electronic Journal
Network Pharmacology-Guided Discovery and Computational Validation of Pinocembrin-Based Anticancer Inhibitors Targeting MMP9, TP53, and HIF1α through Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulations
2025
·
Md Reaz Uddin
, Abu Sadat Muhammod Saiyem
, et al.
·
SSRN Electronic Journal
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Works count:
8
Citation count:
27
H-index:
3
I10-index:
1
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