Current progress in Structure-Based Rational Drug Design marks a new mindset in drug discovery
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R. McGuire | V. Lounnas | N. Foloppe | R. Bywater | J. Kelder | T. Ritschel
[1] D. Mobley,et al. Entropy-enthalpy compensation: role and ramifications in biomolecular ligand recognition and design. , 2013, Annual review of biophysics.
[2] R. Bywater. Protein folding: a problem with multiple solutions , 2013, Journal of biomolecular structure & dynamics.
[3] B. Davis,et al. Targeting conserved water molecules: design of 4-aryl-5-cyanopyrrolo[2,3-d]pyrimidine Hsp90 inhibitors using fragment-based screening and structure-based optimization. , 2012, Bioorganic & medicinal chemistry.
[4] Britt-Marie Swahn,et al. Discovery of AZD3839, a Potent and Selective BACE1 Inhibitor Clinical Candidate for the Treatment of Alzheimer Disease* , 2012, The Journal of Biological Chemistry.
[5] J. Gibrat,et al. Automatic modeling of mammalian olfactory receptors and docking of odorants. , 2012, Protein engineering, design & selection : PEDS.
[6] Michael K Gilson,et al. Grid inhomogeneous solvation theory: hydration structure and thermodynamics of the miniature receptor cucurbit[7]uril. , 2012, The Journal of chemical physics.
[7] J. M. Perez-Aguilar,et al. Human μ Opioid Receptor Models with Evaluation of the Accuracy Using the Crystal Structure of the Murine μ Opioid Receptor , 2012, Journal of anesthesia & clinical research.
[8] Andreas Bender,et al. A prospective cross-screening study on G-protein-coupled receptors: lessons learned in virtual compound library design. , 2012, Journal of medicinal chemistry.
[9] Richard A. Friesner,et al. Docking performance of the glide program as evaluated on the Astex and DUD datasets: a complete set of glide SP results and selected results for a new scoring function integrating WaterMap and glide , 2012, Journal of Computer-Aided Molecular Design.
[10] Ajay N. Jain,et al. Surflex-Dock: Docking benchmarks and real-world application , 2012, Journal of Computer-Aided Molecular Design.
[11] Hiromi Imamura,et al. Visualization and Measurement of ATP Levels in Living Cells Replicating Hepatitis C Virus Genome RNA , 2012, PLoS pathogens.
[12] Gregory A Ross,et al. Rapid and Accurate Prediction and Scoring of Water Molecules in Protein Binding Sites , 2012, PloS one.
[13] Junmei Wang,et al. Challenges in Binding Free Energy Calculation using MM-PB/GBSA , 2012 .
[14] Susmita Roy,et al. Free energy barriers for escape of water molecules from protein hydration layer. , 2012, The journal of physical chemistry. B.
[15] S. Bryant,et al. Structure-Based Virtual Screening for Drug Discovery: a Problem-Centric Review , 2012, The AAPS Journal.
[16] Ross McGuire,et al. Drug design for ever, from hype to hope , 2012, Journal of Computer-Aided Molecular Design.
[17] Terry R. Stouch,et al. The errors of our ways: taking account of error in computer-aided drug design to build confidence intervals for our next 25 years , 2012, Journal of Computer-Aided Molecular Design.
[18] Garland R. Marshall,et al. Limiting assumptions in structure-based design: binding entropy , 2012, Journal of Computer-Aided Molecular Design.
[19] Nishant Toomula,et al. Computational Methods for Protein Structure Prediction and Its Application in Drug Design , 2011 .
[20] Ruben Abagyan,et al. GPCR agonist binding revealed by modeling and crystallography. , 2011, Trends in pharmacological sciences.
[21] Davide Provasi,et al. Ligand-Induced Modulation of the Free-Energy Landscape of G Protein-Coupled Receptors Explored by Adaptive Biasing Techniques , 2011, PLoS Comput. Biol..
[22] E. Howell,et al. Isothermal Titration Calorimetry for Measuring Macromolecule-Ligand Affinity , 2011, Journal of visualized experiments : JoVE.
[23] Chris de Graaf,et al. Snooker: A Structure-Based Pharmacophore Generation Tool Applied to Class A GPCRs , 2011, J. Chem. Inf. Model..
[24] Bas Vroling,et al. In Silico Veritas: The Pitfalls and Challenges of Predicting GPCR-Ligand Interactions , 2011, Pharmaceuticals.
[25] Jacob de Vlieg,et al. ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs , 2011, BMC Bioinformatics.
[26] N. Foloppe. The benefits of constructing leads from fragment hits. , 2011, Future medicinal chemistry.
[27] Lihong Hu,et al. Accurate predictions of nonpolar solvation free energies require explicit consideration of binding-site hydration. , 2011, Journal of the American Chemical Society.
[28] Stanley J. Watowich,et al. Using Free Energy of Binding Calculations To Improve the Accuracy of Virtual Screening Predictions , 2011, J. Chem. Inf. Model..
[29] S. Rasmussen,et al. Crystal Structure of the β2Adrenergic Receptor-Gs protein complex , 2011, Nature.
[30] Doris Hafenbradl,et al. A comparative study of fragment screening methods on the p38α kinase: new methods, new insights , 2011, J. Comput. Aided Mol. Des..
[31] Lei Liu,et al. Free energy calculations on the two drug binding sites in the M2 proton channel. , 2011, Journal of the American Chemical Society.
[32] Catherine L. Worth,et al. GPCR-SSFE: A comprehensive database of G-protein-coupled receptor template predictions and homology models , 2011, BMC Bioinformatics.
[33] C. G. Mohan,et al. First Pharmacophore Model of CCR3 Receptor Antagonists and its Homology Model‐Assisted, Stepwise Virtual Screening , 2011, Chemical biology & drug design.
[34] Mirko Zimic,et al. Docking and quantitative structure–activity relationship studies for 3-fluoro-4-(pyrrolo[2,1-f][1,2,4]triazin-4-yloxy)aniline, 3-fluoro-4-(1H-pyrrolo[2,3-b]pyridin-4-yloxy)aniline, and 4-(4-amino-2-fluorophenoxy)-2-pyridinylamine derivatives as c-Met kinase inhibitors , 2011, J. Comput. Aided Mol. Des..
[35] Alexander D. MacKerell,et al. Recent advances in ligand-based drug design: relevance and utility of the conformationally sampled pharmacophore approach. , 2011, Current computer-aided drug design.
[36] Peter Güntert,et al. Structure-guided fragment-based in silico drug design of dengue protease inhibitors , 2011, J. Comput. Aided Mol. Des..
[37] R. Sanchez,et al. Systematic assessment of accuracy of comparative model of proteins belonging to different structural fold classes , 2011, Journal of Molecular Modeling.
[38] Jörg D. Wichard,et al. Chemogenomic Analysis of G-Protein Coupled Receptors and Their Ligands Deciphers Locks and Keys Governing Diverse Aspects of Signalling , 2011, PloS one.
[39] Claudio N. Cavasotto,et al. Docking-based virtual screening for ligands of G protein-coupled receptors: not only crystal structures but also in silico models. , 2011, Journal of molecular graphics & modelling.
[40] Hagai Meirovitch,et al. New method for calculating the absolute free energy of binding: the effect of a mobile loop on the avidin/biotin complex. , 2011, The journal of physical chemistry. B.
[41] J. Bajorath,et al. Quo vadis, virtual screening? A comprehensive survey of prospective applications. , 2010, Journal of medicinal chemistry.
[42] R. Abagyan,et al. Conserved binding mode of human beta2 adrenergic receptor inverse agonists and antagonist revealed by X-ray crystallography. , 2010, Journal of the American Chemical Society.
[43] J. Bajorath,et al. Scaffold hopping using two-dimensional fingerprints: true potential, black magic, or a hopeless endeavor? Guidelines for virtual screening. , 2010, Journal of medicinal chemistry.
[44] Andriy Kovalenko,et al. An MM/3D-RISM approach for ligand binding affinities. , 2010, The journal of physical chemistry. B.
[45] Arieh Warshel,et al. Absolute binding free energy calculations: On the accuracy of computational scoring of protein–ligand interactions , 2010, Proteins.
[46] Steven O. Smith. Structure and activation of the visual pigment rhodopsin. , 2010, Annual review of biophysics.
[47] Yu-Wei Chang,et al. An enriched structural kinase database to enable kinome‐wide structure‐based analyses and drug discovery , 2010, Protein science : a publication of the Protein Society.
[48] T. Sakmar,et al. Tracking G-protein-coupled receptor activation using genetically encoded infrared probes , 2010, Nature.
[49] Martin Hofmann-Apitius,et al. In silico drug discovery approaches on grid computing infrastructures. , 2010, Current clinical pharmacology.
[50] Gerhard Klebe,et al. How to Replace the Residual Solvation Shell of Polar Active Site Residues to Achieve Nanomolar Inhibition of tRNA‐Guanine Transglycosylase , 2009, ChemMedChem.
[51] D. Flower,et al. Toward the Discovery of Vaccine Adjuvants: Coupling In Silico Screening and In Vitro Analysis of Antagonist Binding to Human and Mouse CCR4 Receptors , 2009, PloS one.
[52] Maria A Miteva,et al. Structure-based virtual ligand screening: recent success stories. , 2009, Combinatorial chemistry & high throughput screening.
[53] P. Scheerer,et al. A G protein-coupled receptor at work: the rhodopsin model. , 2009, Trends in biochemical sciences.
[54] Stefano Costanzi,et al. Ligand and structure-based methodologies for the prediction of the activity of G protein-coupled receptor ligands , 2009, J. Comput. Aided Mol. Des..
[55] L. J. Eldik,et al. Targeting protein kinases in central nervous system disorders , 2009, Nature Reviews Drug Discovery.
[56] G. Klebe,et al. High-affinity inhibitors of tRNA-guanine transglycosylase replacing the function of a structural water cluster. , 2009, Chemistry.
[57] Steven O. Smith,et al. Multiple switches in G protein-coupled receptor activation. , 2009, Trends in pharmacological sciences.
[58] Bas Vroling,et al. Homology modelling and spectroscopy, a never-ending love story , 2009, European Biophysics Journal.
[59] Nicolas Foloppe,et al. Discovery and functional evaluation of diverse novel human CB(1) receptor ligands. , 2009, Bioorganic & medicinal chemistry letters.
[60] Haruki Nakamura,et al. Protein-Ligand Binding Free Energy Calculation by the Smooth Reaction Path Generation (SRPG) Method , 2009, J. Chem. Inf. Model..
[61] Sid Topiol,et al. X-ray structure breakthroughs in the GPCR transmembrane region. , 2009, Biochemical pharmacology.
[62] Andrew J. Woodhead,et al. From fragment to clinical candidate--a historical perspective. , 2009, Drug discovery today.
[63] Charles L. Brooks,et al. Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008 , 2009, Nature Reviews Drug Discovery.
[64] Yoshifumi Fukunishi,et al. Structure-based drug screening and ligand-based drug screening with machine learning. , 2009, Combinatorial chemistry & high throughput screening.
[65] Kenneth Lundstrom,et al. An Overview on GPCRs and Drug Discovery: Structure-Based Drug Design and Structural Biology on GPCRs , 2009, Methods in molecular biology.
[66] R. Woods,et al. Involvement of water in carbohydrate-protein binding: concanavalin A revisited. , 2008, Journal of the American Chemical Society.
[67] Oliver P. Ernst,et al. Crystal structure of opsin in its G-protein-interacting conformation , 2008, Nature.
[68] V. Vyas,et al. Virtual Screening: A Fast Tool for Drug Design , 2008 .
[69] Yang Zhang. Progress and challenges in protein structure prediction. , 2008, Current opinion in structural biology.
[70] J. Chaires,et al. Calorimetry and thermodynamics in drug design. , 2008, Annual review of biophysics.
[71] Stefano Costanzi,et al. On the applicability of GPCR homology models to computer-aided drug discovery: a comparison between in silico and crystal structures of the beta2-adrenergic receptor. , 2008, Journal of medicinal chemistry.
[72] Pengyu Y. Ren,et al. Calculation of protein–ligand binding free energy by using a polarizable potential , 2008, Proceedings of the National Academy of Sciences.
[73] Sebastian Radestock,et al. Homology Model-Based Virtual Screening for GPCR Ligands Using Docking and Target-Biased Scoring , 2008, J. Chem. Inf. Model..
[74] H. Manji,et al. Kinases as drug targets in the treatment of bipolar disorder. , 2008, Drug discovery today.
[75] A. Bornot,et al. Protein contacts, inter-residue interactions and side-chain modelling. , 2008, Biochimie.
[76] Stefano Costanzi,et al. A virtual screen for diverse ligands: discovery of selective G protein-coupled receptor antagonists. , 2008, Journal of the American Chemical Society.
[77] B. Kobilka,et al. New G-protein-coupled receptor crystal structures: insights and limitations. , 2008, Trends in pharmacological sciences.
[78] Maria A. Miteva,et al. Hierarchical Structure-Based Virtual Screening for Drug Design , 2008 .
[79] M. Burghammer,et al. Crystal structure of the human β2 adrenergic G-protein-coupled receptor , 2007, Nature.
[80] René Meier,et al. Generation of a homology model of the human histamine H3 receptor for ligand docking and pharmacophore-based screening , 2007, J. Comput. Aided Mol. Des..
[81] Xavier Deupi,et al. Conformational complexity of G-protein-coupled receptors. , 2007, Trends in pharmacological sciences.
[82] G. Klebe,et al. Crystal structures of tRNA-guanine transglycosylase (TGT) in complex with novel and potent inhibitors unravel pronounced induced-fit adaptations and suggest dimer formation upon substrate binding. , 2007, Journal of molecular biology.
[83] Thomas Lengauer,et al. IRECS: A new algorithm for the selection of most probable ensembles of side‐chain conformations in protein models , 2007, Protein science : a publication of the Protein Society.
[84] Junmei Wang,et al. GPCR Structure-Based Virtual Screening Approach for CB2 Antagonist Search , 2007, J. Chem. Inf. Model..
[85] H. Kubinyi. Hydrogen Bonding: The Last Mystery in Drug Design? , 2007 .
[86] Anatoly M. Ruvinsky,et al. Calculations of protein-ligand binding entropy of relative and overall molecular motions , 2007, J. Comput. Aided Mol. Des..
[87] Manfred J. Sippl,et al. QSCOP - SCOP quantified by structural relationships , 2007, Bioinform..
[88] T. Lazaridis,et al. Water at biomolecular binding interfaces. , 2007, Physical Chemistry, Chemical Physics - PCCP.
[89] G. Narahari Sastry,et al. Strategies to design pyrazolyl urea derivatives for p38 kinase inhibition: a molecular modeling study , 2007, J. Comput. Aided Mol. Des..
[90] John P. Overington,et al. How many drug targets are there? , 2006, Nature Reviews Drug Discovery.
[91] B. Roux,et al. Absolute binding free energy calculations using molecular dynamics simulations with restraining potentials. , 2006, Biophysical journal.
[92] David M. Ferguson,et al. A combined ligand-based and target-based drug design approach for G-protein coupled receptors: application to salvinorin A, a selective kappa opioid receptor agonist , 2006, J. Comput. Aided Mol. Des..
[93] Andrew Potter,et al. Identification of chemically diverse Chk1 inhibitors by receptor-based virtual screening. , 2006, Bioorganic & medicinal chemistry.
[94] G. Klebe. Virtual ligand screening: strategies, perspectives and limitations , 2006, Drug Discovery Today.
[95] Erin M Duffy,et al. Structure-based drug design meets the ribosome. , 2006, Biochemical pharmacology.
[96] K. Balakin,et al. Rational design approaches to chemical libraries for hit identification. , 2006, Current drug discovery technologies.
[97] Themis Lazaridis,et al. Thermodynamics of buried water clusters at a protein-ligand binding interface. , 2006, The journal of physical chemistry. B.
[98] F. Sheinerman,et al. High affinity targets of protein kinase inhibitors have similar residues at the positions energetically important for binding. , 2005, Journal of molecular biology.
[99] Philip E. Bourne,et al. Structural Evolution of the Protein Kinase–Like Superfamily , 2005, PLoS Comput. Biol..
[100] Russell L. Marsden,et al. Progress of structural genomics initiatives: an analysis of solved target structures. , 2005, Journal of molecular biology.
[101] Andrew Potter,et al. Structure-based design of novel Chk1 inhibitors: insights into hydrogen bonding and protein-ligand affinity. , 2005, Journal of medicinal chemistry.
[102] Christopher W Murray,et al. Fragment-based lead discovery using X-ray crystallography. , 2005, Journal of medicinal chemistry.
[103] Themis Lazaridis,et al. The effect of water displacement on binding thermodynamics: concanavalin A. , 2005, The journal of physical chemistry. B.
[104] J. Bajorath,et al. Docking and scoring in virtual screening for drug discovery: methods and applications , 2004, Nature Reviews Drug Discovery.
[105] K. Pavelić,et al. Accelerating drug discovery , 2004, EMBO reports.
[106] Andrew F Neuwald,et al. Evolutionary constraints associated with functional specificity of the CMGC protein kinases MAPK, CDK, GSK, SRPK, DYRK, and CK2α , 2004, Protein science : a publication of the Protein Society.
[107] Rick Mullin,et al. DRUG DISCOVERY: As high-throughput screening draws fire, researchers leverage science to put automation into perspective , 2004 .
[108] G. Wolf. The discovery of vitamin D: the contribution of Adolf Windaus. , 2004, The Journal of nutrition.
[109] A. Hopkins,et al. Ligand efficiency: a useful metric for lead selection. , 2004, Drug discovery today.
[110] G Vriend,et al. Heavier‐than‐air flying machines are impossible , 2004, FEBS letters.
[111] R. Mullin. PRIMING THE PIPELINE , 2004 .
[112] Klaus Gundertofte,et al. Pharmacophore and receptor models for neurokinin receptors , 2003, J. Comput. Aided Mol. Des..
[113] Marion Gurrath,et al. Molecular modelling studies on the ORL1-receptor and ORL1-agonists , 2003, J. Comput. Aided Mol. Des..
[114] Laerte Oliveira,et al. Identification of functionally conserved residues with the use of entropy–variability plots , 2003, Proteins.
[115] Haregewein Assefa,et al. 3D-QSAR and docking studies on 4-anilinoquinazoline and 4-anilinoquinoline epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors , 2003, J. Comput. Aided Mol. Des..
[116] Jing Lin,et al. The role of absorption, distribution, metabolism, excretion and toxicity in drug discovery. , 2003, Current topics in medicinal chemistry.
[117] Hans-Joachim Böhm,et al. A guide to drug discovery: Hit and lead generation: beyond high-throughput screening , 2003, Nature Reviews Drug Discovery.
[118] Didier Rognan,et al. Protein‐based virtual screening of chemical databases. II. Are homology models of g‐protein coupled receptors suitable targets? , 2002, Proteins.
[119] A. Panchenko,et al. Comparison of sequence and structure alignments for protein domains , 2002, Proteins.
[120] Jonathan W. Essex,et al. A review of protein-small molecule docking methods , 2002, J. Comput. Aided Mol. Des..
[121] A. Panchenko,et al. A comparison of position‐specific score matrices based on sequence and structure alignments , 2002, Protein science : a publication of the Protein Society.
[122] Peter D. J. Grootenhuis,et al. Comparative molecular field analysis and energy interaction studies of thrombin-inhibitor complexes , 1999, J. Comput. Aided Mol. Des..
[123] R. Lanzara,et al. Activation of G protein-coupled receptors entails cysteine modulation of agonist binding , 1998 .
[124] T Head-Gordon,et al. Is water structure around hydrophobic groups clathrate-like? , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[125] D. Baker,et al. Conservation, Variability and the Modeling of Active Protein Kinases , 1995, Environmental health perspectives.
[126] T. Hunter,et al. The eukaryotic protein kinase superfamily: kinase (catalytic) domain structure and classification 1 , 1995, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.
[127] George W. A. Milne,et al. QSAR of conformationally flexible molecules: Comparative Molecular Field Analysis of protein-tyrosine kinase inhibitors , 1992, J. Comput. Aided Mol. Des..
[128] A. Ben-Naim. Solvent effects on protein association and protein folding , 1990, Biopolymers.
[129] P J Goodford,et al. COMPOUNDS DESIGNED TO FIT A SITE OF KNOWN STRUCTURE IN HUMAN HAEMOGLOBIN , 1976, British journal of pharmacology.
[130] D. Ingle,et al. The biologic properties of cortisone: a review. , 1950, The Journal of clinical endocrinology and metabolism.
[131] O. Rosenheim,et al. The Ring-system of sterols and bile acids. Part II , 1932 .
[132] H. King,et al. The ring‐system of sterols and bile acids , 1932 .
[133] G. Murray. THE LIFE-HISTORY OF THE FIRST CASE OF MYXOEDEMA TREATED BY THYROID EXTRACT , 1920, British medical journal.
[134] Anat Levit,et al. Homology model-assisted elucidation of binding sites in GPCRs. , 2012, Methods in molecular biology.
[135] Daniel A Erlanson,et al. Introduction to fragment-based drug discovery. , 2012, Topics in current chemistry.
[136] Dora M Schnur,et al. Beyond rhodopsin: G protein-coupled receptor structure and modeling incorporating the beta2-adrenergic and adenosine A(2A) crystal structures. , 2011, Methods in molecular biology.
[137] Jean-Louis Reymond,et al. Exploring the chemical space of known and unknown organic small molecules at www.gdb.unibe.ch. , 2011, Chimia.
[138] N. Gray,et al. Targeting cancer with small molecule kinase inhibitors , 2009, Nature Reviews Cancer.
[139] K. Karplus,et al. Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8 , 2009, Proteins.
[140] S. Hansen. [The development of adrenal cortical hormones into drugs]. , 2008, Dansk medicinhistorisk arbog.
[141] Markus H. J. Seifert,et al. Essential factors for successful virtual screening. , 2008, Mini reviews in medicinal chemistry.
[142] B. Villoutreix,et al. Virtual Ligand Screening for Structure-based Drug Design: Approaches and Progress , 2007 .
[143] Xavier Deupi,et al. Activation of G protein-coupled receptors. , 2007, Advances in protein chemistry.
[144] A. Gorse. Diversity in medicinal chemistry space. , 2006, Current topics in medicinal chemistry.
[145] Robert P Bywater,et al. Location and nature of the residues important for ligand recognition in G‐protein coupled receptors , 2005, Journal of molecular recognition : JMR.
[146] Michael A. Santaro. Ethics and the Pharmaceutical Industry: Introduction: Charting a Sustainable Path for the Twenty-First Century Pharmaceutical Industry , 2005 .
[147] Amiram Goldblum,et al. Identifying the binding mode of a molecular scaffold , 2004, J. Comput. Aided Mol. Des..
[148] P. Englebienne,et al. Surface plasmon resonance: principles, methods and applications in biomedical sciences , 2003 .
[149] J. Butler. The energy and entropy of hydration of organic compounds , 1937 .