M. A. Imran

Peripartum Cardiomyopathy: Facts and Figures

N. Shaikh, A. Ganaw, M. Zubair, 2019, Inflammatory Heart Diseases.

Development of machine learning models for the screening of potential HSP90 inhibitors

Jae-June Dong, Jaehyuk Choi, M. H. Baig, 2022, Frontiers in Molecular Biosciences.

In-Silico Analysis of Phytocompounds of Olea europaea as Potential Anti-Cancer Agents to Target PKM2 Protein

Md. Amiruddin Hashmi, M. A. Imran, F. A. Qais, 2022, Molecules.

Organosulphur Compounds Induce Apoptosis and Cell Cycle Arrest in Cervical Cancer Cells via Downregulation of HPV E6 and E7 Oncogenes.

I. Ansari, Mohd Saeed, I. Ahmad, 2020, Anti-cancer agents in medicinal chemistry.

Enzyme targeting strategies for prevention and treatment of cancer: Implications for cancer therapy.

M. Kamal, M. Adil, Tufail Bashir, 2017, Seminars in cancer biology.

Nanomedicine for Glioblastoma: Progress and Future Prospects.

M. Hatiboglu, J. Cho, Jae-June Dong, 2022, Seminars in cancer biology.

Deciphering the emerging role of phytocompounds: Implications in the management of drug-resistant tuberculosis and ATDs-induced hepatic damage.

M. Ansari, S. Wahab, S. Alyahya, 2023, Journal of infection and public health.

Combining structure-based pharmacophore modeling and machine learning for the identification and in vitro validation of novel BTK inhibitors.

D. C. Lee, Venu Venkatarame Gowda Saralamma, Tanuj Sharma, 2022, International journal of biological macromolecules.