Hasil Pencarian - Danishuddin
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Development of Machine Learning Models for Accurately Predicting and Ranking the Activity of Lead Molecules to Inhibit PRC2 Dependent Cancer oleh Danishuddin, Vikas Kumar, Shraddha Parate, Ashutosh Bahuguna, Gihwan Lee, Myeong Ok Kim, Keun Woo Lee
Diterbitkan 2021-07-01
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Unveiling the Mechanisms Underlying the Immunotherapeutic Potential of Gene–miRNA and Drugs in Head and Neck Cancer oleh Danishuddin, Md Azizul Haque, Md. Zubbair Malik, Rakesh Arya, Pooja Singh, Jeong-Sang Lee, Jong-Joo Kim, Keun-Woo Lee, Tae-Sung Jung
Diterbitkan 2024-07-01
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Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches oleh Vikas Kumar, Raj Kumar, Shraddha Parate, Danishuddin, Gihwan Lee, Moonhyuk Kwon, Seong-Hee Jeong, Hyeon-Su Ro, Keun Woo Lee, Seon-Won Kim
Diterbitkan 2023-01-01
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3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Dynamics Simulations for the Identification of Spleen Tyrosine Kinase Inhibitors oleh Vikas Kumar, Shraddha Parate, Danishuddin, Amir Zeb, Pooja Singh, Gihwan Lee, Tae Sung Jung, Keun Woo Lee, Min Woo Ha, Min Woo Ha
Diterbitkan 2022-06-01
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