Molecular Dynamics Simulations and Structural Analysis of Giardia duodenalis 14-3-3 Protein-Protein Interactions
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Maurizio Botta | Mattia Mori | Ylenia Cau | Annarita Fiorillo | Andrea Ilari | Marco Lalle | M. Botta | M. Mori | A. Ilari | A. Fiorillo | M. Lalle | Y. Cau
[1] Artur Gieldon,et al. Theoretical study on binding of S100B protein , 2007, Journal of molecular modeling.
[2] S. Jois,et al. Surfing the Protein-Protein Interaction Surface Using Docking Methods: Application to the Design of PPI Inhibitors , 2015, Molecules.
[3] P. Emsley,et al. Features and development of Coot , 2010, Acta crystallographica. Section D, Biological crystallography.
[4] Randy J. Read,et al. Phaser crystallographic software , 2007, Journal of applied crystallography.
[5] L. Robertson,et al. Giardiasis: the ever-present threat of a neglected disease. , 2010, Infectious disorders drug targets.
[6] A. Buret,et al. Extra-intestinal and long term consequences of Giardia duodenalis infections. , 2013, World journal of gastroenterology.
[7] G. Ciccotti,et al. Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes , 1977 .
[8] Randy J. Read,et al. Overview of the CCP4 suite and current developments , 2011, Acta crystallographica. Section D, Biological crystallography.
[9] D. Case,et al. Langevin modes of macromolecules: Applications to crambin and DNA hexamers , 1990, Biopolymers.
[10] M. Peggie,et al. 14‐3‐3s regulate fructose‐2,6‐bisphosphate levels by binding to PKB‐phosphorylated cardiac fructose‐2,6‐bisphosphate kinase/phosphatase , 2003, The EMBO journal.
[11] J Pohl,et al. 14-3-3ζ Binds a Phosphorylated Raf Peptide and an Unphosphorylated Peptide via Its Conserved Amphipathic Groove* , 1998, The Journal of Biological Chemistry.
[12] S. M. Fayaz,et al. Modelling the molecular mechanism of protein–protein interactions and their inhibition: CypD–p53 case study , 2015, Molecular Diversity.
[13] Jean-Luc Poyet,et al. Drug-Like Protein–Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology , 2014, Molecular informatics.
[14] G. Murshudov,et al. Refinement of macromolecular structures by the maximum-likelihood method. , 1997, Acta crystallographica. Section D, Biological crystallography.
[15] F. Khuri,et al. 14-3-3 proteins as potential therapeutic targets. , 2011, Seminars in cell & developmental biology.
[16] Holger Gohlke,et al. MMPBSA.py: An Efficient Program for End-State Free Energy Calculations. , 2012, Journal of chemical theory and computation.
[17] Bernard R Brooks,et al. Efficient and Unbiased Sampling of Biomolecular Systems in the Canonical Ensemble: A Review of Self-Guided Langevin Dynamics. , 2012, Advances in chemical physics.
[18] P. Kollman,et al. Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. , 2000, Accounts of chemical research.
[19] Nathan A. Baker,et al. Electrostatics of nanosystems: Application to microtubules and the ribosome , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[20] T. Steitz,et al. Identifying nonpolar transbilayer helices in amino acid sequences of membrane proteins. , 1986, Annual review of biophysics and biophysical chemistry.
[21] M. Skwarczynska,et al. Structure of a 14-3-3σ-YAP phosphopeptide complex at 1.15 A resolution. , 2010, Acta crystallographica. Section F, Structural biology and crystallization communications.
[22] C. Supuran,et al. Hit Recycling: Discovery of a Potent Carbonic Anhydrase Inhibitor by in Silico Target Fishing. , 2015, ACS chemical biology.
[23] Joseph Avruch,et al. Significance of 14-3-3 self-dimerization for phosphorylation-dependent target binding. , 2003, Molecular biology of the cell.
[24] L. Rezabkova,et al. Structural Basis for the 14-3-3 Protein-dependent Inhibition of the Regulator of G Protein Signaling 3 (RGS3) Function* , 2011, The Journal of Biological Chemistry.
[25] A. Aitken. 14-3-3 proteins: a historic overview. , 2006, Seminars in cancer biology.
[26] T. Obsil,et al. Structural basis of 14-3-3 protein functions. , 2011, Seminars in cell & developmental biology.
[27] M. Botta,et al. Targeting protein-protein and protein-nucleic acid interactions for anti-HIV therapy. , 2011, Current pharmaceutical design.
[28] L. Di Marcotullio,et al. Gli1/DNA interaction is a druggable target for Hedgehog-dependent tumors , 2014, The EMBO journal.
[29] J Günter Grossmann,et al. Structural basis for protein–protein interactions in the 14-3-3 protein family , 2006, Proceedings of the National Academy of Sciences.
[30] C. Luchinat,et al. Fragment Docking to S100 Proteins Reveals a Wide Diversity of Weak Interaction Sites , 2007, ChemMedChem.
[31] M. Botta,et al. A New Nonpeptidic Inhibitor of 14-3-3 Induces Apoptotic Cell Death in Chronic Myeloid Leukemia Sensitive or Resistant to Imatinib , 2011, Journal of Pharmacology and Experimental Therapeutics.
[32] H. Gohlke,et al. Free Energy Calculations by the Molecular Mechanics Poisson−Boltzmann Surface Area Method , 2012, Molecular informatics.
[33] M. Yaffe,et al. The Structural Basis for 14-3-3:Phosphopeptide Binding Specificity , 1997, Cell.
[34] V. Hornak,et al. Comparison of multiple Amber force fields and development of improved protein backbone parameters , 2006, Proteins.
[35] C. Ottmann,et al. Constrained peptides with target-adapted cross-links as inhibitors of a pathogenic protein-protein interaction. , 2014, Angewandte Chemie.
[36] C. Ottmann,et al. Discovery of 14‐3‐3 Protein–Protein Interaction Inhibitors that Sensitize Multidrug‐Resistant Cancer Cells to Doxorubicin and the Akt Inhibitor GSK690693 , 2014, ChemMedChem.
[37] Fabrizio Manetti,et al. Identification of the first non-peptidic small molecule inhibitor of the c-Abl/14-3-3 protein-protein interactions able to drive sensitive and Imatinib-resistant leukemia cells to apoptosis. , 2010, Bioorganic & medicinal chemistry letters.
[38] P A Kollman,et al. Continuum solvent studies of the stability of RNA hairpin loops and helices. , 1998, Journal of biomolecular structure & dynamics.
[39] Jolanta Grembecka,et al. Targeting protein–protein interactions in hematologic malignancies: still a challenge or a great opportunity for future therapies? , 2015, Immunological reviews.
[40] Fabrizio Manetti,et al. Predicting the Binding Mode of Known NCp7 Inhibitors To Facilitate the Design of Novel Modulators , 2011, J. Chem. Inf. Model..
[41] Ujjwal Maulik,et al. A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions , 2015, Briefings Bioinform..
[42] S. Camerini,et al. Interkingdom Complementation Reveals Structural Conservation and Functional Divergence of 14-3-3 Proteins , 2013, PloS one.
[43] B. Brooks,et al. Langevin dynamics of peptides: The frictional dependence of isomerization rates of N‐acetylalanyl‐N′‐methylamide , 1992, Biopolymers.
[44] Maurizio Botta,et al. Small molecules modulation of 14-3-3 protein-protein interactions. , 2013, Drug discovery today. Technologies.
[45] Z. Otwinowski,et al. Processing of X-ray diffraction data collected in oscillation mode. , 1997, Methods in enzymology.
[46] W. L. Jorgensen,et al. Comparison of simple potential functions for simulating liquid water , 1983 .
[47] S. Huber,et al. Divalent cations and polyamines bind to loop 8 of 14-3-3 proteins, modulating their interaction with phosphorylated nitrate reductase. , 2002, The Plant journal : for cell and molecular biology.
[48] M. Crescenzi,et al. The Giardia duodenalis 14-3-3 Protein Is Post-translationally Modified by Phosphorylation and Polyglycylation of the C-terminal Tail* , 2006, Journal of Biological Chemistry.
[49] M. Yaffe,et al. A Structural Basis for 14-3-3σ Functional Specificity*♦ , 2005, Journal of Biological Chemistry.
[50] H. Hermeking,et al. The crystal structure of the non-liganded 14-3-3σ protein: insights into determinants of isoform specific ligand binding and dimerization , 2005, Cell Research.
[51] C. Ottmann,et al. Molecular tweezers modulate 14-3-3 protein-protein interactions. , 2013, Nature chemistry.
[52] Anselm H. C. Horn,et al. AMBER force-field parameters for phosphorylated amino acids in different protonation states: phosphoserine, phosphothreonine, phosphotyrosine, and phosphohistidine , 2006, Journal of molecular modeling.
[53] Fabrizio Manetti,et al. Computational techniques are valuable tools for the discovery of protein-protein interaction inhibitors: the 14-3-3σ case. , 2011, Bioorganic & medicinal chemistry letters.
[54] Peter A. Kollman,et al. Calculating Structures and Free Energies of Complex Molecules: Combining Molecular Mechanics and Continuum Models , 2001 .
[55] M. Lalle. Giardiasis in the post genomic era: treatment, drug resistance and novel therapeutic perspectives. , 2010, Infectious disorders drug targets.
[56] Kamyar Hadian,et al. Protein–protein interaction modulator drug discovery: past efforts and future opportunities using a rich source of low- and high-throughput screening assays , 2014, Expert opinion on drug discovery.
[57] M. Crescenzi,et al. Interaction network of the 14-3-3 protein in the ancient protozoan parasite Giardia duodenalis. , 2012, Journal of proteome research.
[58] Meng Wu,et al. C‐terminal binding: An expanded repertoire and function of 14‐3‐3 proteins , 2006, FEBS letters.
[59] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[60] A. Via,et al. The Crystal Structure of Giardia duodenalis 14-3-3 in the Apo Form: When Protein Post-Translational Modifications Make the Difference , 2014, PloS one.
[61] Jianyin Shao,et al. Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering Algorithms. , 2007, Journal of chemical theory and computation.
[62] B. Brooks,et al. Self-guided Langevin dynamics simulation method , 2003 .
[63] M. Crescenzi,et al. Involvement of 14-3-3 protein post-translational modifications in Giardia duodenalis encystation. , 2010, International journal for parasitology.