Browsing byAuthorChung, Hwan Won

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Showing results 12 to 20 of 20

Issue DateTitleAuthor(s)
2022-09Novel 2,6,9-Trisubstituted Purines as Potent CDK Inhibitors Alleviating Trastuzumab-Resistance of HER2-Positive Breast CancersKuchukulla, Ratnakar Reddy; Hwang, Injeoung; Park, Sang Won; Moon, Sojeong; Kim, Suhn Hyung; Kim, Sumin; Chung, Hwan Won; Ji, Mi-Jung; Park, Hyun-Mee; Kong, Gu; Hur, Wooyoung
-Pandemic influenza in metropolitan Seoul area with a well developed public transportation: individual-based simulation with Korean dataChansoo Kim; Chung, Hwan Won; Oh, Jung Soo; Lee, Kwang Ryeol
2010-05QM/MM based 3D QSAR models for potent B-Raf inhibitorsChung, Jae Yoon; Chung, Hwan Won; Cho, Seung Joo; Hah, Jung-Mi; Cho, Art E.
2007-03-15Reorganization of highly preorganized hosts upon cation complexation: Ab initio study of fluorospherandsElroby, Shabaan A. K.; Lee, Kyu Hwan; Oh, Jung Soo; Chung, Hwan Won; Cho, Seung Joo; Paek, Kyungsoo
-Self-adaptive differential evolution algorithm incorporating local search for protein-ligand dockingChung, Hwan Won; Cho, Seung Joo; Lee, Kwang Ryeol; Lee, Kyu Hwan
-Self-adaptive differential evolution algorithm incorporating local search for protein-ligand dockingChung, Hwan Won; Seung Joo Cho; Lee, Kwang Ryeol; Lee, Kyu Hwan
-Self-assembly simulation of M13 bacteriophage capsid proteins using coarse-graining modelChung, Hwan Won; Oh, Jung Soo; Kim, Seong Jin; Chansoo Kim
-The computational study by using the genetic algorithm on the bimetallic nanoalloy structuresOh, Jung Soo; Chung, Hwan Won; SEUNG CHEOL, LEE; Jung-Hae Choi; Lee, Kyu Hwan
2019-11Virtual screening of Mao-B inhibitors using generative deep learning and target focused statistical potentialChung, Hwan Won; ROH, EUN JOO; Hur, Wooyoung

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