Search Results - "Imran, Mohammad Azhar"
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In-Silico Analysis of Phytocompounds of Olea europaea as Potential Anti-Cancer Agents to Target PKM2 Protein
Published in Molecules (Basel, Switzerland) (07-09-2022)“…Globally, cancer is the second leading cause of mortality and morbidity. The growth and development of cancer are extremely complex. It is caused by a variety…”
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Deciphering the emerging role of phytocompounds: Implications in the management of drug-resistant tuberculosis and ATDs-induced hepatic damage
Published in Journal of infection and public health (01-09-2023)“…Tuberculosis is a disease of poverty, discrimination, and socioeconomic burden. Epidemiological studies suggest that the mortality and incidence of…”
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Development of machine learning models for the screening of potential HSP90 inhibitors
Published in Frontiers in molecular biosciences (19-10-2022)“…Heat shock protein 90 (Hsp90) is a molecular chaperone playing a significant role in the folding of client proteins. This cellular protein is linked to the…”
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Enzyme targeting strategies for prevention and treatment of cancer: Implications for cancer therapy
Published in Seminars in cancer biology (01-06-2019)“…Extensive growth of cancer in humans is a major cause of death. Numerous studies are being conducted to improve the early diagnosis, prevention, and treatment…”
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Nanomedicine for glioblastoma: Progress and future prospects
Published in Seminars in cancer biology (01-11-2022)“…Glioblastoma is the most aggressive form of brain tumor, accounting for the highest mortality and morbidity rates. Current treatment for patients with…”
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In-Silico Analysis of Phytocompounds of IOlea europaea/I as Potential Anti-Cancer Agents to Target PKM2 Protein
Published in Molecules (Basel, Switzerland) (01-09-2022)“…Globally, cancer is the second leading cause of mortality and morbidity. The growth and development of cancer are extremely complex. It is caused by a variety…”
Get full text
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MolDy: molecular dynamics simulation made easy
Published in Bioinformatics (Oxford, England) (03-06-2024)“…Molecular dynamics (MD) is a computational experiment that is crucial for understanding the structure of biological macro and micro molecules, their folding,…”
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Combining structure-based pharmacophore modeling and machine learning for the identification of novel BTK inhibitors
Published in International journal of biological macromolecules (01-12-2022)“…Bruton's tyrosine kinase (BTK) is a critical enzyme which is involved in multiple signaling pathways that regulate cellular survival, activation, and…”
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