Author

A. T. Moin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3 Immunology· 1 Microbiology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Research Focus:drug response / drug discovery· 3 Research Focus:protein structure prediction· 3 Approach:deep learning· 2 Assay:proteomics· 2

Frequent Co-Authors

M. A. Ullah· 4 shared N. A. Faruqui· 2 shared R. B. Patil· 2 shared Y. Araf· 2 shared A. Pathan· 1 shared B. Kim· 1 shared B. Sarkar· 1 shared D. U. S. Chowdhury· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersCancer Biology

M. A. Ullah

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Integrated Computational Biophysics approach for Drug Discovery against Nipah Virus

G. R. Palacios, M. C. Zuta, J. P. R. Galarza, E. G. Villarreal, J. P. Silva, K. Otazu, I. N. d. Aguila, H. D. Wong, F. S. Amay, N. Dattani, I. Camps, R. B. Patil, A. T. Moin

This study identifies potential NiV-G inhibitors from Peruvian phytochemicals using computational biophysics methods, highlighting procyanidins B2, B3, B7, and C1 as lead compounds.

bioRxiv · Oct 23, 2023 · PreprintMicrobiology

Development and Characterization of Co-crystals Assisted with In-silico Screening for Solubility and Permeability Enhancement of Curcumin

M. Singh, S. Takawale, R. Patil, S. Chaudhari, A. Pathan, J. Sangshetti, A. T. Moin, T. Zubair, M. H. Uddin

This paper develops and characterizes co-crystals of curcumin using in-silico screening to enhance solubility and permeability, showing significant improvements in dissolution and permeability compared to pure curcumin.

bioRxiv · Sep 8, 2023 · PreprintPharmacology & Toxicology

Unravelling the Oncogenic Potential and Prognostic Significance of CKS1B in Human Lung Adenocarcinoma and Squamous Cell Carcinoma: A Comprehensive Computational Analysis

A. T. Moin, M. A. Ullah, N. A. Faruqui, Y. Araf, T. I. Rahaman, K. Ahsan, M. O. Faruq, R. H. Bhuiyan, M. J. Hosen

bioRxiv · Apr 28, 2023 · PreprintCancer Biology

Identifying Proteasome 26S Subunit, ATPase (PSMC) Family Genes as the Prognostic Indicators and Therapeutic Targets in Lung Adenocarcinoma

M. A. Ullah, N. N. Islam, A. T. Moin, S. H. Park, B. Kim

This study identifies PSMC family genes as prognostic indicators and therapeutic targets in lung adenocarcinoma through differential expression, methylation, mutation, and survival analysis.

bioRxiv · Apr 23, 2022 · PreprintCancer Biology

Expression Analysis, Molecular Characterization and Prognostic Evaluation on TMED4 and TMED9 Gene Expression in Glioma

M. A. Ullah, T. Tabassum, M. Farzana, A. T. Moin, U. S. Zohora, M. S. Rahman

This study evaluates TMED4 and TMED9 gene expression in glioma using database mining, finding their overexpression correlates with poor prognosis and immune infiltration, suggesting therapeutic potential.

bioRxiv · Apr 7, 2022Cancer Biology

Exploring different virulent proteins of human respiratory syncytial virus for designing a novel epitope-based polyvalent vaccine: Immunoinformatics and molecular dynamics approaches

A. T. Moin, M. A. Ullah, R. B. Patil, N. A. Faruqui, B. Sarkar, Y. Araf, S. Das, K. M. K. Uddin, M. S. Hossain, M. F. Miah, M. A. Moni, D. U. S. Chowdhury, S. Islam

This study uses immunoinformatics and molecular dynamics to design a polyvalent epitope-based vaccine against RSV-A and RSV-B, selecting conserved epitopes and validating structural stability.

bioRxiv · Feb 2, 2022 · PreprintImmunology