Computational analysis for residue-specific CDK2-inhibitor bindings
Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation. In cancer cells, CDK2 is often overexpressed and its inhibition is an effective therapy of many cancers including breast carcinomas, leukemia, and lymphomas. Quantitative characterization of the interactions between CD...
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Published in | Chinese journal of chemical physics Vol. 32; no. 1; pp. 134 - 142 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China
01.02.2019
Department of Chemistry, New York University, NY, NY 10003, USA NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China |
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Abstract | Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation. In cancer cells, CDK2 is often overexpressed and its inhibition is an effective therapy of many cancers including breast carcinomas, leukemia, and lymphomas. Quantitative characterization of the interactions between CDK2 and its inhibitors at atomic level may provide a deep understanding of protein-inhibitor interactions and clues for more effective drug discovery. In this study, we have used the computational alanine scanning approach in combination with an efficient interaction entropy method to study the microscopic mechanism of binding between CDK2 and its 13 inhibitors. The total binding free energy from the method shows a correlation of 0.76−0.83 with the experimental values. The free energy component reveals two binding mode in the 13 complexes, namely van der Waals dominant, and electrostatic dominant. Decomposition of the total energy to per-residue contribution allows us to identify five hydrophobic residues as hot spots during the binding. Residues that are responsible for determining the strength of the binding were also analyzed. |
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AbstractList | Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation. In cancer cells, CDK2 is often overexpressed and its inhibition is an effective therapy of many cancers including breast carcinomas, leukemia, and lymphomas. Quantitative characterization of the interactions between CDK2 and its inhibitors at atomic level may provide a deep understanding of protein-inhibitor interactions and clues for more effective drug discovery. In this study, we have used the computational alanine scanning approach in combination with an efficient interaction entropy method to study the microscopic mechanism of binding between CDK2 and its 13 inhibitors. The total binding free energy from the method shows a correlation of 0.76−0.83 with the experimental values. The free energy component reveals two binding mode in the 13 complexes, namely van der Waals dominant, and electrostatic dominant. Decomposition of the total energy to per-residue contribution allows us to identify five hydrophobic residues as hot spots during the binding. Residues that are responsible for determining the strength of the binding were also analyzed. Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation.In cancer cells,CDK2 is often overexpressed and its inhibition is an effective therapy of many cancers including breast carcinomas,leukemia,and lymphomas.Quantitative characterization of the interactions between CDK2 and its inhibitors at atomic level may provide a deep understanding of protein-inhibitor interactions and clues for more effective drug discovery.In this study,we have used the computational alanine scanning approach in combination with an efficient interaction entropy method to study the microscopic mechanism of binding between CDK2 and its 13 inhibitors.The total binding free energy from the method shows a correlation of 0.76-0.83 with the experimental values.The free energy component reveals two binding mode in the 13 complexes,namely van der Waals dominant,and electrostatic dominant.Decomposition of the total energy to per-residue contribution allows us to identify five hydrophobic residues as hot spots during the binding.Residues that are responsible for determining the strength of the binding were also analyzed. |
Author | He, Li-ping Yang, Yun-peng Bao, Jing-xiao Zhang, John Z. H. Qi, Yi-fei |
AuthorAffiliation | School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China;NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China;NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China;Department of Chemistry, New York University, NY, NY 10003, USA |
AuthorAffiliation_xml | – name: School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China;NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China;NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China;Department of Chemistry, New York University, NY, NY 10003, USA |
Author_xml | – sequence: 1 givenname: Yun-peng surname: Yang fullname: Yang, Yun-peng organization: School of Chemistry and Molecular Engineering, East China Normal University – sequence: 2 givenname: Li-ping surname: He fullname: He, Li-ping organization: School of Chemistry and Molecular Engineering, East China Normal University – sequence: 3 givenname: Jing-xiao surname: Bao fullname: Bao, Jing-xiao organization: School of Chemistry and Molecular Engineering, East China Normal University – sequence: 4 givenname: Yi-fei surname: Qi fullname: Qi, Yi-fei organization: cDepartment of Chemistry, New York University, NY, NY 10003, USA – sequence: 5 givenname: John Z. H. surname: Zhang fullname: Zhang, John Z. H. organization: cDepartment of Chemistry, New York University, NY, NY 10003, USA |
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Cites_doi | 10.1126/science.1075762 10.1021/ci300619x 10.1080/00268976.2018.1442596 10.3390/molecules23092384 10.1093/nar/28.1.235 10.1038/nsb842 10.1002/1878-0261.12148 10.1016/j.phrs.2016.03.012 10.1128/MCB.21.8.2755-2766.2001 10.4161/cc.6.24.5142 10.1016/j.jhealeco.2016.01.012 10.1126/science.1329201 10.3390/ijms17040547 10.1021/ci500731a 10.1002/jcc.20290 10.1016/S0092-8674(00)81519-6 10.1016/j.cpc.2012.09.022 10.1186/s13058-015-0661-5 10.1038/nsb1203-980 10.1016/S0092-8674(00)81863-2 10.1016/j.ccr.2004.10.014 10.1039/C4MB00077C 10.1016/j.wneu.2018.08.209 10.1007/s00432-011-1039-4 10.1017/S0033583508004745 10.1021/acs.jctc.7b01295 10.1021/jm051256o 10.1016/j.drudis.2006.07.010 10.1063/1.4978893 10.1021/ci5004152 10.1021/ci500091r 10.1021/ja990935j 10.1016/S1535-6108(03)00053-9 10.1021/jacs.6b02682 10.1007/s11426-017-9106-3 10.1021/acs.jcim.6b00734 10.1002/prot.21123 10.1083/jcb.121.1.101 10.1016/S0955-0674(97)80076-2 10.1128/MCB.15.5.2612 10.1128/MCB.18.2.753 10.1016/S0167-6296(02)00126-1 |
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Keywords | MD simulation Inhibitor Binding free energy CDK2 Hot-spot residue |
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References | Dana, Gadhiya, St Surin, Li, Naaz, Ali, Paka, Yamin, Narayan, Goldberg, Narayan (c22) 2018 Hornak, Abel, Okur, Strockbine, Roitberg, Simmerling (c40) 2006 Qiu, Yan, Sun, Song, Zhang (c34) 2018 Roskoski (c2) 2016 Yan, Yang, Ji, Zhang (c31) 2017 Krude, Jackman, Pines, Laskey (c5) 1997 Finn, Aleshin, Slamon (c3) 2016 DiMasi, Hansen, Grabowski (c20) 2003 Davies, Bentley, Arris, Boyle, Curtin, Endicott, Gibson, Golding, Griffin, Hardcastle, Jewsbury, Johnson, Mesguiche, Newell, Noble, Tucker, Wang, Whitfield (c44) 2002 Zheng, Jr (c26) 2013 Sun, Yan, Yang, Zhang (c32) 2017 Du, Widlund, Horstmann, Ramaswamy, Ross, Huber, Nishimura, Golub, Fisher (c13) 2004 Berman, Westbrook, Feng, Gilliland, Bhat, Weissig, Shindyalov, Bourne (c37) 2000 Dong, Zhu, Gao, Shi, Zhang, Wang, Li, Song, Zhang (c14) 2019 Le Grand, Götz, Walker (c39) 2013 Liu, Peng, Zhou, Zhang, Zhang (c42) 2018 Case, III, Darden, Gohlke, Luo, Merz, Onufriev, Simmerling, Wang, Woods (c35) 2005 Pagano, Pepperkok, Lukas, Baldin, Ansorge, Bartek, Draetta (c7) 1993 Ohtsubo, Theodoras, Schumacher, Roberts, Pagano (c4) 1995 Harbour, Luo, Santi, Postigo, Dean (c10) 1999 Lundberg, Weinberg (c9) 1998 DiMasi, Grabowski, Hansen (c19) 2016 Massova, Kollman (c30) 1999 Zhou, Liu, Zhang, Peng, Zhang (c43) 2018 Whittaker, Barlow, Martin, Mancusi, Wagner, Self, Barrie, Poele, Sharp, Brown, Wilson, Jackson, Fischer, Clarke, Walton, McDonald, Blagg, Noble, Garrett, Workman (c18) 2018 Friesner, Murphy, Repasky, Frye, Greenwood, Halgren, Sanschagrin, Mainz (c25) 2006 Cicenas, Valius (c16) 2011 Kumar, Hendriks, Janes, de Graaf, Lauffenburger (c21) 2006 Case, Betz, Botello-Smith, Cerutti, Cheatham (c36) 2016 Dulic, Lees, Reed (c6) 1992 Song, Qiu, Zhang (c33) 2018 Manning, Whyte, Martinez, Hunter, Sudarsanam (c1) 2002 Johnson (c17) 2009 Liu, Wang (c28) 2015 Duan, Liu, Zhang (c29) 2016 Tripathi, Singh (c23) 2014 Berman, Henrick, Nakamura (c38) 2003 Hu, Mitra, van den Heuvel, Enders (c12) 2001 Tetsu, McCormick (c8) 2003 Ballester, Schreyer, Blundell (c27) 2014 Petukh, Dai, Alexov (c41) 2016; 17 Whittaker, te Poele, Chan, Linardopoulos, Walton, Garrett, Workman (c15) 2007 Planas-Silva, Weinberg (c11) 1997 Chaskar, Zoete, Röhrig (c24) 2014 (2023080600372673700_c42) 2018; 14 (2023080600372673700_c21) 2006; 11 (2023080600372673700_c37) 2000; 28 (2023080600372673700_c12) 2001; 21 (2023080600372673700_c28) 2015; 55 (2023080600372673700_c10) 1999; 98 (2023080600372673700_c9) 1998; 18 (2023080600372673700_c39) 2013; 184 (2023080600372673700_c33) 2018; 61 (2023080600372673700_c44) 2002; 9 (2023080600372673700_c32) 2017; 146 (2023080600372673700_c2) 2016; 107 (2023080600372673700_c7) 1993; 121 (2023080600372673700_c16) 2011; 137 (2023080600372673700_c17) 2009; 42 (2023080600372673700_c34) 2018; 8 (2023080600372673700_c30) 1999; 121 (2023080600372673700_c40) 2006; 65 (2023080600372673700_c19) 2016; 47 (2023080600372673700_c4) 1995; 15 (2023080600372673700_c27) 2014; 54 (2023080600372673700_c3) 2016; 18 (2023080600372673700_c6) 1992; 257 (2023080600372673700_c20) 2003; 22 (2023080600372673700_c8) 2003; 3 (2023080600372673700_c26) 2013; 53 (2023080600372673700_c1) 2002; 298 (2023080600372673700_c13) 2004; 6 (2023080600372673700_c18) 2018; 12 (2023080600372673700_c38) 2003; 10 (2023080600372673700_c14) 2019; 121 (2023080600372673700_c24) 2014; 54 (2023080600372673700_c29) 2016; 138 (2023080600372673700_c36) 2016 (2023080600372673700_c25) 2006; 49 (2023080600372673700_c43) 2018; 116 (2023080600372673700_c11) 1997; 9 (2023080600372673700_c23) 2014; 10 (2023080600372673700_c5) 1997; 88 (2023080600372673700_c22) 2018; 23 (2023080600372673700_c35) 2005; 26 (2023080600372673700_c41) 2016; 17 (2023080600372673700_c15) 2007; 6 (2023080600372673700_c31) 2017; 57 |
References_xml | – start-page: 151 year: 2003 ident: c20 publication-title: J. Health Econ. – volume: 17 start-page: 547 year: 2016 ident: c41 publication-title: Int. J. Mol. Sci. – start-page: 124124 year: 2017 ident: c32 publication-title: J. Chem. Phys. – start-page: 1772 year: 2018 ident: c42 publication-title: J. Chem. Theory Comput. – start-page: 109 year: 1997 ident: c5 publication-title: Cell – start-page: 859 year: 1999 ident: c10 publication-title: Cell – start-page: 753 year: 1998 ident: c9 publication-title: Mol. Cell. Biol. – start-page: 6177 year: 2006 ident: c25 publication-title: J. Med. Chem. – start-page: 2189 year: 2014 ident: c23 publication-title: Mol. BioSyst. – start-page: 233 year: 2003 ident: c8 publication-title: Cancer Cell – start-page: 944 year: 2014 ident: c27 publication-title: J. Chem. Inf. Model. – start-page: 2612 year: 1995 ident: c4 publication-title: Mol. Cell. Biol. – start-page: 3114 year: 2007 ident: c15 publication-title: Cell Cycle – start-page: 565 year: 2004 ident: c13 publication-title: Cancer Cell – start-page: 1073 year: 2013 ident: c26 publication-title: J. Chem. Inf. Model. – start-page: 712 year: 2006 ident: c40 publication-title: Proteins – start-page: 101 year: 1993 ident: c7 publication-title: J. Cell Biol. – start-page: 16 year: 2016 ident: c36 publication-title: AMBER – start-page: e45 year: 2019 ident: c14 publication-title: World Neurosurg. – start-page: e1342 year: 2018 ident: c34 publication-title: Wiley Interdiscip. Rev. – start-page: 2384 year: 2018 ident: c22 publication-title: Molecules – start-page: 1112 year: 2017 ident: c31 publication-title: J. Chem. Inf. Model. – start-page: 249 year: 2016 ident: c2 publication-title: Pharmacol. Res. – start-page: 2755 year: 2001 ident: c12 publication-title: Mol. Cell. Biol. – start-page: 1 year: 2009 ident: c17 publication-title: Quart. Rev. Biophys. – start-page: 1912 year: 2002 ident: c1 publication-title: Science – start-page: 17 year: 2016 ident: c3 publication-title: Breast Cancer Res. – start-page: 475 year: 2015 ident: c28 publication-title: J. Chem. Inf. Model. – start-page: 745 year: 2002 ident: c44 publication-title: Nat. Struct. Biol. – start-page: 20 year: 2016 ident: c19 publication-title: J. Health Econ. – start-page: 135 year: 2018 ident: c33 publication-title: Sci. China Chem. – start-page: 1668 year: 2005 ident: c35 publication-title: J. Comput. Chem. – start-page: 1958 year: 1992 ident: c6 publication-title: Science – start-page: 235 year: 2000 ident: c37 publication-title: Nucleic Acids Res. – start-page: 2633 year: 2018 ident: c43 publication-title: Mol. Phys. – start-page: 287 year: 2018 ident: c18 publication-title: Mol. Oncol. – start-page: 980 year: 2003 ident: c38 publication-title: Nat. Struct. Biol. – start-page: 374 year: 2013 ident: c39 publication-title: Comput. Phys. Commun. – start-page: 5722 year: 2016 ident: c29 publication-title: J. Am. Chem. Soc. – start-page: 8133 year: 1999 ident: c30 publication-title: J. Am. Chem. Soc. – start-page: 768 year: 1997 ident: c11 publication-title: Curr. Opin. Cell Biol. – start-page: 1409 year: 2011 ident: c16 publication-title: J. Cancer Res. Clin. Oncol. – start-page: 806 year: 2006 ident: c21 publication-title: Drug Discovery Today – start-page: 3137 year: 2014 ident: c24 publication-title: J. Chem. Inf. Model. – volume: 298 start-page: 1912 year: 2002 ident: 2023080600372673700_c1 publication-title: Science doi: 10.1126/science.1075762 – volume: 53 start-page: 1073 year: 2013 ident: 2023080600372673700_c26 publication-title: J. Chem. Inf. Model. doi: 10.1021/ci300619x – volume: 116 start-page: 2633 year: 2018 ident: 2023080600372673700_c43 publication-title: Mol. Phys. doi: 10.1080/00268976.2018.1442596 – volume: 23 start-page: 2384 year: 2018 ident: 2023080600372673700_c22 publication-title: Molecules doi: 10.3390/molecules23092384 – volume: 28 start-page: 235 year: 2000 ident: 2023080600372673700_c37 publication-title: Nucleic Acids Res. doi: 10.1093/nar/28.1.235 – volume: 9 start-page: 745 year: 2002 ident: 2023080600372673700_c44 publication-title: Nat. Struct. Biol. doi: 10.1038/nsb842 – volume: 12 start-page: 287 year: 2018 ident: 2023080600372673700_c18 publication-title: Mol. Oncol. doi: 10.1002/1878-0261.12148 – volume: 107 start-page: 249 year: 2016 ident: 2023080600372673700_c2 publication-title: Pharmacol. Res. doi: 10.1016/j.phrs.2016.03.012 – volume: 21 start-page: 2755 year: 2001 ident: 2023080600372673700_c12 publication-title: Mol. Cell. Biol. doi: 10.1128/MCB.21.8.2755-2766.2001 – volume: 6 start-page: 3114 year: 2007 ident: 2023080600372673700_c15 publication-title: Cell Cycle doi: 10.4161/cc.6.24.5142 – volume: 47 start-page: 20 year: 2016 ident: 2023080600372673700_c19 publication-title: J. Health Econ. doi: 10.1016/j.jhealeco.2016.01.012 – volume: 257 start-page: 1958 year: 1992 ident: 2023080600372673700_c6 publication-title: Science doi: 10.1126/science.1329201 – volume: 17 start-page: 547 year: 2016 ident: 2023080600372673700_c41 publication-title: Int. J. Mol. Sci. doi: 10.3390/ijms17040547 – volume: 55 start-page: 475 year: 2015 ident: 2023080600372673700_c28 publication-title: J. Chem. Inf. Model. doi: 10.1021/ci500731a – volume: 26 start-page: 1668 year: 2005 ident: 2023080600372673700_c35 publication-title: J. Comput. Chem. doi: 10.1002/jcc.20290 – volume: 98 start-page: 859 year: 1999 ident: 2023080600372673700_c10 publication-title: Cell doi: 10.1016/S0092-8674(00)81519-6 – volume: 184 start-page: 374 year: 2013 ident: 2023080600372673700_c39 publication-title: Comput. Phys. Commun. doi: 10.1016/j.cpc.2012.09.022 – volume: 18 start-page: 17 year: 2016 ident: 2023080600372673700_c3 publication-title: Breast Cancer Res. doi: 10.1186/s13058-015-0661-5 – volume: 10 start-page: 980 year: 2003 ident: 2023080600372673700_c38 publication-title: Nat. Struct. Biol. doi: 10.1038/nsb1203-980 – volume: 88 start-page: 109 year: 1997 ident: 2023080600372673700_c5 publication-title: Cell doi: 10.1016/S0092-8674(00)81863-2 – volume: 6 start-page: 565 year: 2004 ident: 2023080600372673700_c13 publication-title: Cancer Cell doi: 10.1016/j.ccr.2004.10.014 – volume: 10 start-page: 2189 year: 2014 ident: 2023080600372673700_c23 publication-title: Mol. BioSyst. doi: 10.1039/C4MB00077C – volume: 121 start-page: e45 year: 2019 ident: 2023080600372673700_c14 publication-title: World Neurosurg. doi: 10.1016/j.wneu.2018.08.209 – volume: 137 start-page: 1409 year: 2011 ident: 2023080600372673700_c16 publication-title: J. Cancer Res. Clin. Oncol. doi: 10.1007/s00432-011-1039-4 – volume: 42 start-page: 1 year: 2009 ident: 2023080600372673700_c17 publication-title: Quart. Rev. Biophys. doi: 10.1017/S0033583508004745 – volume: 14 start-page: 1772 year: 2018 ident: 2023080600372673700_c42 publication-title: J. Chem. Theory Comput. doi: 10.1021/acs.jctc.7b01295 – volume: 8 start-page: e1342 year: 2018 ident: 2023080600372673700_c34 publication-title: Wiley Interdiscip. Rev. – volume: 49 start-page: 6177 year: 2006 ident: 2023080600372673700_c25 publication-title: J. Med. Chem. doi: 10.1021/jm051256o – start-page: 16 year: 2016 ident: 2023080600372673700_c36 publication-title: AMBER – volume: 11 start-page: 806 year: 2006 ident: 2023080600372673700_c21 publication-title: Drug Discovery Today doi: 10.1016/j.drudis.2006.07.010 – volume: 146 start-page: 124124 year: 2017 ident: 2023080600372673700_c32 publication-title: J. Chem. Phys. doi: 10.1063/1.4978893 – volume: 54 start-page: 3137 year: 2014 ident: 2023080600372673700_c24 publication-title: J. Chem. Inf. Model. doi: 10.1021/ci5004152 – volume: 54 start-page: 944 year: 2014 ident: 2023080600372673700_c27 publication-title: J. Chem. Inf. Model. doi: 10.1021/ci500091r – volume: 121 start-page: 8133 year: 1999 ident: 2023080600372673700_c30 publication-title: J. Am. Chem. Soc. doi: 10.1021/ja990935j – volume: 3 start-page: 233 year: 2003 ident: 2023080600372673700_c8 publication-title: Cancer Cell doi: 10.1016/S1535-6108(03)00053-9 – volume: 138 start-page: 5722 year: 2016 ident: 2023080600372673700_c29 publication-title: J. Am. Chem. Soc. doi: 10.1021/jacs.6b02682 – volume: 61 start-page: 135 year: 2018 ident: 2023080600372673700_c33 publication-title: Sci. China Chem. doi: 10.1007/s11426-017-9106-3 – volume: 57 start-page: 1112 year: 2017 ident: 2023080600372673700_c31 publication-title: J. Chem. Inf. Model. doi: 10.1021/acs.jcim.6b00734 – volume: 65 start-page: 712 year: 2006 ident: 2023080600372673700_c40 publication-title: Proteins doi: 10.1002/prot.21123 – volume: 121 start-page: 101 year: 1993 ident: 2023080600372673700_c7 publication-title: J. Cell Biol. doi: 10.1083/jcb.121.1.101 – volume: 9 start-page: 768 year: 1997 ident: 2023080600372673700_c11 publication-title: Curr. Opin. Cell Biol. doi: 10.1016/S0955-0674(97)80076-2 – volume: 15 start-page: 2612 year: 1995 ident: 2023080600372673700_c4 publication-title: Mol. Cell. Biol. doi: 10.1128/MCB.15.5.2612 – volume: 18 start-page: 753 year: 1998 ident: 2023080600372673700_c9 publication-title: Mol. Cell. Biol. doi: 10.1128/MCB.18.2.753 – volume: 22 start-page: 151 year: 2003 ident: 2023080600372673700_c20 publication-title: J. Health Econ. doi: 10.1016/S0167-6296(02)00126-1 |
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Snippet | Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation. In cancer cells, CDK2 is often overexpressed and its inhibition is an... Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation.In cancer cells,CDK2 is often overexpressed and its inhibition is an effective... |
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Title | Computational analysis for residue-specific CDK2-inhibitor bindings |
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