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Journal of Biomolecular Structure and Dynamics Volume 34, 2016 - Issue 6
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Original Articles

Investigation on critical structural motifs of ligands for triggering glucocorticoid receptor nuclear migration through molecular docking simulations

Ya-Lin LiuDepartment of Chemistry, National Chung Hsing University, Taichung, TaiwanView further author information
,
Soonmin JangDepartment of Chemistry, Sejong University, Seoul143-747, KoreaView further author information
,
Shih-Min WangInstitute of Nuclear Energy Research, Lungtan, Taoyuan, TaiwanView further author information
,
Chiu-Hao ChenGeneral Education Center, Wenzao Ursuline University of Languages, Kaohsiung, TaiwanView further author information
&
Feng-Yin LiDepartment of Chemistry, National Chung Hsing University, Taichung, TaiwanCorrespondence[email protected]
View further author information
Pages 1214-1231 | Received 09 Aug 2015, Accepted 15 Jul 2015, Published online: 14 Aug 2015

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Patil Shivprasad Suresh, Krishan Gopal Thakur & Upendra Sharma. (2023) Molecular docking and dynamic simulation approach to decipher steroidal sapogenins (genus Trillium) derived agonists for glucocorticoid receptor. Journal of Biomolecular Structure and Dynamics 41:1, pages 55-66.
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Articles from other publishers (11)

Vitthal T. Borkar. (2021) A novel ternary approach to quantitatively assess the reactivity of nitroaniline regioisomers by investigation of rapid iodination kinetics using hydrodynamic voltammetry, reduction propensities from polarography, and binding affinities from molecular docking simulations. International Journal of Chemical Kinetics 53:11, pages 1193-1202.
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Vitthal T. Borkar. (2020) A quantitative assessment of the reactivity of the regioisomers of xylenol by investigation of rapid chlorination kinetics in aqueous solution employing hydrodynamic voltammetry complemented by molecular docking with acetylcholinesterase: A two‐pronged approach. International Journal of Chemical Kinetics 53:4, pages 504-513.
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C. Denise Okafor, Jennifer K. Colucci & Eric A. Ortlund. (2019) Ligand-Induced Allosteric Effects Governing SR Signaling. Nuclear Receptor Research 6.
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Aikaterini Karra, Maria Konstantinou, Maria Tzortziou, Ioannis Tsialtas, Foteini Kalousi, Constantine Garagounis, Joseph Hayes & Anna-Maria Psarra. (2018) Potential Dissociative Glucocorticoid Receptor Activity for Protopanaxadiol and Protopanaxatriol. International Journal of Molecular Sciences 20:1, pages 94.
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Demetra Georgatza, Vyron A. Gorgogietas, Paraskevi Kylindri, Maria Ch. Charalambous, Kalliope K. Papadopoulou, Joseph M. Hayes & Anna-Maria G. Psarra. (2016) The triterpene echinocystic acid and its 3-O-glucoside derivative are revealed as potent and selective glucocorticoid receptor agonists. The International Journal of Biochemistry & Cell Biology 79, pages 277-287.
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Khurshid Ahmad, Muhammad Waris & Maqsood Hayat. (2016) Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou’s General Pseudo Amino Acid Composition. The Journal of Membrane Biology 249:3, pages 293-304.
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Bin Liu, Longyun Fang, Ren Long, Xun Lan & Kuo-Chen Chou. (2016) iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k -tuple nucleotide composition . Bioinformatics 32:3, pages 362-369.
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Muhammad Kabir & Maqsood Hayat. (2015) iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples. Molecular Genetics and Genomics 291:1, pages 285-296.
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Wen-Xia Su, Qian-Zhong Li, Yong-Chun Zuo & Lu-Qiang Zhang. (2016) Association analysis between the distributions of histone modifications and gene expression in the human embryonic stem cell. Gene 575:1, pages 90-100.
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Jónathan Heras, César Domínguez, Eloy Mata & Vico Pascual. (2015) Surveying and benchmarking techniques to analyse DNA gel fingerprint images. Briefings in Bioinformatics, pages bbv102.
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Qiwen Dong, Shanyi Wang, Kai Wang, Xuan Liu & Bin Liu. (2015) Identification of DNA-binding proteins by auto-cross covariance transformation. Identification of DNA-binding proteins by auto-cross covariance transformation.

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