Importance of Incorporating Protein Flexibility in Molecule Modeling: A Theoretical Study on Type I1/2 NIK Inhibitors
暂无分享,去创建一个
Huidong Yu | Dan Li | Lei Xu | Hui Liu | Ercheng Wang | Tailong Lei | Chao Shen | Xuwen Wang | Xiaojun Yao
[1] J. Nagel,et al. Assessing Performance , 2019, The United States and Canada.
[2] Jianwen A. Feng,et al. Scaffold-Hopping Approach To Discover Potent, Selective, and Efficacious Inhibitors of NF-κB Inducing Kinase. , 2018, Journal of medicinal chemistry.
[3] M. Kubbutat,et al. N-Acetyl-3-aminopyrazoles block the non-canonical NF-kB cascade by selectively inhibiting NIK. , 2018, MedChemComm.
[4] A. Baldwin,et al. Noncanonical NF-κB in Cancer , 2018, Biomedicines.
[5] J. H. Zhang,et al. Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches. , 2018, Physical chemistry chemical physics : PCCP.
[6] Danfeng Shi,et al. Understanding the structural and energetic basis of PD-1 and monoclonal antibodies bound to PD-L1: A molecular modeling perspective. , 2018, Biochimica et biophysica acta. General subjects.
[7] Yuzong Chen,et al. Computational identification of the binding mechanism of a triple reuptake inhibitor amitifadine for the treatment of major depressive disorder. , 2018, Physical chemistry chemical physics : PCCP.
[8] Dan Li,et al. Importance of protein flexibility on molecular recognition: modeling binding mechanisms of aminopyrazine inhibitors to Nek2. , 2018, Physical chemistry chemical physics : PCCP.
[9] Tingjun Hou,et al. Importance of protein flexibility in molecular recognition: a case study on Type-I1/2 inhibitors of ALK. , 2018, Physical chemistry chemical physics : PCCP.
[10] M. Karin,et al. NF-κB, inflammation, immunity and cancer: coming of age , 2018, Nature Reviews Immunology.
[11] Adam R. Johnson,et al. NF-κB inducing kinase is a therapeutic target for systemic lupus erythematosus , 2018, Nature Communications.
[12] Qingchuan Zheng,et al. Theoretical research in structure characteristics of different inhibitors and differences of binding modes with CBP bromodomain. , 2017, Bioorganic & medicinal chemistry.
[13] Dan Li,et al. Combating Drug-Resistant Mutants of Anaplastic Lymphoma Kinase with Potent and Selective Type-I1/2 Inhibitors by Stabilizing Unique DFG-Shifted Loop Conformation , 2017, ACS central science.
[14] Feng Zhu,et al. Revealing vilazodone's binding mechanism underlying its partial agonism to the 5-HT1A receptor in the treatment of major depressive disorder. , 2017, Physical chemistry chemical physics : PCCP.
[15] Youyong Li,et al. How Does the L884P Mutation Confer Resistance to Type-II Inhibitors of JAK2 Kinase: A Comprehensive Molecular Modeling Study , 2017, Scientific Reports.
[16] Robert B. Kargbo. New Substituted Cyanoindoline Derivatives as MAP3K14 Kinase Inhibitors for the Treatment of Cancer and Autoimmune Disorders. , 2017, ACS medicinal chemistry letters.
[17] Shao-Cong Sun. The non-canonical NF-κB pathway in immunity and inflammation , 2017, Nature Reviews Immunology.
[18] Youyong Li,et al. Discovery of Novel and Selective Adenosine A2A Receptor Antagonists for Treating Parkinson's Disease through Comparative Structure-Based Virtual Screening , 2017, J. Chem. Inf. Model..
[19] Shan Chang,et al. Molecular Simulation Studies on the Binding Selectivity of Type-I Inhibitors in the Complexes with ROS1 versus ALK , 2017, J. Chem. Inf. Model..
[20] Michelle L Coote,et al. Molecular dynamics-driven drug discovery: leaping forward with confidence. , 2017, Drug discovery today.
[21] Adam R. Johnson,et al. Structure-Based Design of Tricyclic NF-κB Inducing Kinase (NIK) Inhibitors That Have High Selectivity over Phosphoinositide-3-kinase (PI3K). , 2017, Journal of medicinal chemistry.
[22] Qing-Chuan Zheng,et al. Exploring the mechanism how AF9 recognizes and binds H3K9ac by molecular dynamics simulations and free energy calculations , 2016, Biopolymers.
[23] Youyong Li,et al. Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power. , 2016, Physical chemistry chemical physics : PCCP.
[24] Vinay Tergaonkar,et al. Noncanonical NF-κB Signaling in Health and Disease. , 2016, Trends in molecular medicine.
[25] A. Cavalli,et al. Role of Molecular Dynamics and Related Methods in Drug Discovery. , 2016, Journal of medicinal chemistry.
[26] Dan Li,et al. Binding mechanisms of 1,4-dihydropyridine derivatives to L-type calcium channel Cav1.2: a molecular modeling study. , 2016, Molecular bioSystems.
[27] Dan Li,et al. Molecular principle of the cyclin-dependent kinase selectivity of 4-(thiazol-5-yl)-2-(phenylamino) pyrimidine-5-carbonitrile derivatives revealed by molecular modeling studies. , 2016, Physical chemistry chemical physics : PCCP.
[28] Dan Li,et al. Discovery of Novel ROCK1 Inhibitors via Integrated Virtual Screening Strategy and Bioassays , 2015, Scientific Reports.
[29] S. Knapp,et al. The ins and outs of selective kinase inhibitor development. , 2015, Nature chemical biology.
[30] Gerhard Wolber,et al. The impact of molecular dynamics on drug design: applications for the characterization of ligand-macromolecule complexes. , 2015, Drug discovery today.
[31] Dan Li,et al. Importance of protein flexibility in ranking inhibitor affinities: modeling the binding mechanisms of piperidine carboxamides as Type I1/2 ALK inhibitors. , 2015, Physical chemistry chemical physics : PCCP.
[32] Tingjun Hou,et al. Assessing an Ensemble Docking-Based Virtual Screening Strategy for Kinase Targets by Considering Protein Flexibility , 2014, J. Chem. Inf. Model..
[33] Tiziano Tuccinardi,et al. Extensive Consensus Docking Evaluation for Ligand Pose Prediction and Virtual Screening Studies , 2014, J. Chem. Inf. Model..
[34] Youyong Li,et al. Assessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set. , 2014, Physical chemistry chemical physics : PCCP.
[35] Tingjun Hou,et al. P-loop Conformation Governed Crizotinib Resistance in G2032R-Mutated ROS1 Tyrosine Kinase: Clues from Free Energy Landscape , 2014, PLoS Comput. Biol..
[36] Diane Joseph-McCarthy,et al. Ensemble-Based Docking Using Biased Molecular Dynamics , 2014, J. Chem. Inf. Model..
[37] Youyong Li,et al. Exploring the prominent performance of CX-4945 derivatives as protein kinase CK2 inhibitors by a combined computational study. , 2014, Molecular bioSystems.
[38] M. Shlomchik,et al. Context-specific BAFF-R signaling by the NF-κB and PI3K pathways. , 2013, Cell reports.
[39] Lin Li,et al. Insights into susceptibility of antiviral drugs against the E119G mutant of 2009 influenza A (H1N1) neuraminidase by molecular dynamics simulations and free energy calculations. , 2013, Antiviral research.
[40] Tingjun Hou,et al. Development and Evaluation of an Integrated Virtual Screening Strategy by Combining Molecular Docking and Pharmacophore Searching Based on Multiple Protein Structures , 2013, J. Chem. Inf. Model..
[41] Tingjun Hou,et al. Insight into Crizotinib Resistance Mechanisms Caused by Three Mutations in ALK Tyrosine Kinase using Free Energy Calculation Approaches , 2013, J. Chem. Inf. Model..
[42] Youyong Li,et al. Theoretical study on the interaction of pyrrolopyrimidine derivatives as LIMK2 inhibitors: insight into structure-based inhibitor design. , 2013, Molecular bioSystems.
[43] Youyong Li,et al. Assessing the performance of MM/PBSA and MM/GBSA methods. 3. The impact of force fields and ligand charge models. , 2013, The journal of physical chemistry. B.
[44] Qian Zhang,et al. Modeling Compound-Target Interaction Network of Traditional Chinese Medicines for Type II Diabetes Mellitus: Insight for Polypharmacology and Drug Design , 2013, J. Chem. Inf. Model..
[45] Daniel R Roe,et al. PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data. , 2013, Journal of chemical theory and computation.
[46] Woody Sherman,et al. Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments , 2013, Journal of Computer-Aided Molecular Design.
[47] O. Plotnikova,et al. Inhibiting NF-κB-inducing kinase (NIK): discovery, structure-based design, synthesis, structure-activity relationship, and co-crystal structures. , 2013, Bioorganic & medicinal chemistry letters.
[48] Youyong Li,et al. Discovery and optimization of triazine derivatives as ROCK1 inhibitors: molecular docking, molecular dynamics simulations and free energy calculations. , 2013, Molecular bioSystems.
[49] Adam R. Johnson,et al. The crystal structure of the catalytic domain of the NF-κB inducing kinase reveals a narrow but flexible active site. , 2012, Structure.
[50] H. Zeh,et al. NF-κB hyperactivation in tumor tissues allows tumor-selective reprogramming of the chemokine microenvironment to enhance the recruitment of cytolytic T effector cells. , 2012, Cancer research.
[51] Huanxiang Liu,et al. Understanding the molecular basis of MK2-p38α signaling complex assembly: insights into protein-protein interaction by molecular dynamics and free energy studies. , 2012, Molecular bioSystems.
[52] Wei Wang,et al. Characterization of domain-peptide interaction interface: prediction of SH3 domain-mediated protein-protein interaction network in yeast by generic structure-based models. , 2012, Journal of proteome research.
[53] Roman A. Laskowski,et al. LigPlot+: Multiple Ligand-Protein Interaction Diagrams for Drug Discovery , 2011, J. Chem. Inf. Model..
[54] Tingjun Hou,et al. Assessing the performance of the molecular mechanics/Poisson Boltzmann surface area and molecular mechanics/generalized Born surface area methods. II. The accuracy of ranking poses generated from docking , 2011, J. Comput. Chem..
[55] Tingjun Hou,et al. Assessing the Performance of the MM/PBSA and MM/GBSA Methods. 1. The Accuracy of Binding Free Energy Calculations Based on Molecular Dynamics Simulations , 2011, J. Chem. Inf. Model..
[56] Jan H. Jensen,et al. PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions. , 2011, Journal of chemical theory and computation.
[57] David Calkins,et al. Towards the comprehensive, rapid, and accurate prediction of the favorable tautomeric states of drug-like molecules in aqueous solution , 2010, J. Comput. Aided Mol. Des..
[58] David S. Goodsell,et al. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility , 2009, J. Comput. Chem..
[59] A. Olson,et al. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading , 2009, J. Comput. Chem..
[60] David C. Thompson,et al. Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy , 2009, J. Chem. Inf. Model..
[61] M. Karin,et al. Regulation and function of NF-kappaB transcription factors in the immune system. , 2009, Annual review of immunology.
[62] Wei Zhang,et al. Predicting drug resistance of the HIV‐1 protease using molecular interaction energy components , 2009, Proteins.
[63] J. Keats,et al. Nonredundant and complementary functions of TRAF2 and TRAF3 in a ubiquitination cascade that activates NIK-dependent alternative NF-κB signaling , 2008, Nature Immunology.
[64] T. Mak,et al. Activation of noncanonical NF-κB requires coordinated assembly of a regulatory complex of the adaptors cIAP1, cIAP2, TRAF2, TRAF3 and the kinase NIK , 2008, Nature Immunology.
[65] William A. McLaughlin,et al. Evaluating the potency of HIV‐1 protease drugs to combat resistance , 2008, Proteins.
[66] R. Abagyan,et al. Flexible ligand docking to multiple receptor conformations: a practical alternative. , 2008, Current opinion in structural biology.
[67] Heather A Carlson,et al. Small molecule inhibitors of the MDM2-p53 interaction discovered by ensemble-based receptor models. , 2007, Journal of the American Chemical Society.
[68] Jeremy R. Greenwood,et al. Epik: a software program for pKa prediction and protonation state generation for drug-like molecules , 2007, J. Comput. Aided Mol. Des..
[69] Tingjun Hou,et al. Molecular dynamics and free energy studies on the wild-type and double mutant HIV-1 protease complexed with amprenavir and two amprenavir-related inhibitors: mechanism for binding and drug resistance. , 2007, Journal of medicinal chemistry.
[70] J. Gready,et al. Combining docking and molecular dynamic simulations in drug design , 2006, Medicinal research reviews.
[71] Xiaojie Xu,et al. Recent Advances in Free Energy Calculations with a Combination of Molecular Mechanics and Continuum Models , 2006 .
[72] Ray Luo,et al. How well does Poisson-Boltzmann implicit solvent agree with explicit solvent? A quantitative analysis. , 2006, The journal of physical chemistry. B.
[73] R. Friesner,et al. Novel procedure for modeling ligand/receptor induced fit effects. , 2006, Journal of medicinal chemistry.
[74] Michael Karin,et al. NF-κB: linking inflammation and immunity to cancer development and progression , 2005, Nature Reviews Immunology.
[75] Conrad C. Huang,et al. UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..
[76] Junmei Wang,et al. Development and testing of a general amber force field , 2004, J. Comput. Chem..
[77] M. Karin,et al. The two NF-κB activation pathways and their role in innate and adaptive immunity , 2004 .
[78] Yong Duan,et al. Distinguish protein decoys by Using a scoring function based on a new AMBER force field, short molecular dynamics simulations, and the generalized born solvent model , 2004, Proteins.
[79] D. Case,et al. Exploring protein native states and large‐scale conformational changes with a modified generalized born model , 2004, Proteins.
[80] Matthew P. Repasky,et al. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. , 2004, Journal of medicinal chemistry.
[81] Hege S. Beard,et al. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. , 2004, Journal of medicinal chemistry.
[82] Wei Zhang,et al. A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculations , 2003, J. Comput. Chem..
[83] J. Caamaño,et al. Regulation of secondary lymphoid organ development by the nuclear factor‐κB signal transduction pathway , 2003, Immunological reviews.
[84] Ray Luo,et al. Accelerated Poisson–Boltzmann calculations for static and dynamic systems , 2002, J. Comput. Chem..
[85] Michael Karin,et al. Activation by IKKα of a Second, Evolutionary Conserved, NF-κB Signaling Pathway , 2001, Science.
[86] E. Harhaj,et al. NF-κB-Inducing Kinase Regulates the Processing of NF-κB2 p100 , 2001 .
[87] T. Darden,et al. Efficient particle-mesh Ewald based approach to fixed and induced dipolar interactions , 2000 .
[88] Jörg Weiser,et al. Approximate atomic surfaces from linear combinations of pairwise overlaps (LCPO) , 1999, J. Comput. Chem..
[89] P Willett,et al. Development and validation of a genetic algorithm for flexible docking. , 1997, Journal of molecular biology.
[90] D. Wallach,et al. MAP3K-related kinase involved in NF-KB induction by TNF, CD95 and IL-1 , 1997, Nature.
[91] P. Kollman,et al. A well-behaved electrostatic potential-based method using charge restraints for deriving atomic char , 1993 .
[92] G. Ciccotti,et al. Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes , 1977 .
[93] Tingjun Hou,et al. Structural Bioinformatics Prediction of Peptides Binding to the Pka Riiα Subunit Using a Hierarchical Strategy , 2022 .