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ABSTRACT: Inhibition of the production of fatty acids as essential components of the mycobacterial cell wall has been an established way of fighting tuberculosis for decades. However, increasing resistances and an outdated medical treatment call for the validation of new targets involved in this crucial pathway. In this regard, the β-ketoacyl ACP synthase KasA is a promising enzyme. In this study, three molecular dynamics simulations based on the wildtype crystal structures of inhibitor bound and unbound KasA were performed in order to investigate the flexibility and conformational space of this target. We present an exhaustive analysis of the binding-site flexibility and representative pocket conformations that may serve as new starting points for structure-based drug design. We also revealed a mechanism which may account for the comparatively low binding affinity of thiolactomycin. Furthermore, we examined the behavior of water molecules within the binding pocket and provide recommendations how to handle them in the drug design process. Finally, we analyzed the dynamics of a channel that accommodates the long-chain fatty acid substrates and, thereby, propose a mechanism of substrate access to this channel and how products are most likely released.
Journal of Computer-Aided Molecular Design 11/2011; 25(11):1053-69. · 3.39 Impact Factor
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ABSTRACT: The model binding site of the cytochrome c peroxidase (CCP) W191G mutant is used to investigate the structural and dynamic properties of the water network at the buried cavity using computational methods supported by crystallographic analysis. In particular, the differences of the hydration pattern between the uncomplexed state and various complexed forms are analyzed as well as the differences between five complexes of CCP W191G with structurally closely related ligands. The ability of docking programs to correctly handle the water molecules in these systems is studied in detail. It is found that fully automated prediction of water replacement or retention upon docking works well if some additional preselection is carried out but not necessarily if the entire water network in the cavity is used as input. On the other hand, molecular interaction fields for water calculated from static crystal structures and hydration density maps obtained from molecular dynamics simulations agree very well with crystallographically observed water positions. For one complex, the docking and MD results sensitively depend on the quality of the starting structure, and agreement is obtained only after redetermination of the crystal structure and refinement at higher resolution.
Journal of Chemical Information and Modeling 09/2011; 51(10):2581-94. · 4.68 Impact Factor
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ABSTRACT: The macrophage infectivity potentiator (MIP) protein is a major virulence factor of Legionella pneumophila, the causative agent of Legionnaires' disease. MIP belongs to the FK506-binding proteins (FKBP) and is necessary for optimal intracellular survival and lung tissue dissemination of L. pneumophila. We aimed to identify new small-molecule inhibitors of MIP by starting from known FKBP12 ligands. Computational analysis, synthesis, and biological testing of pipecolic acid derivatives revealed a promising scaffold for new MIP inhibitors.
Journal of Medicinal Chemistry 12/2010; 54(1):277-83. · 4.80 Impact Factor
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Christoph A Sotriffer
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ABSTRACT: Proteins can undergo a variety of conformational changes upon ligand binding. Although different mechanisms may play a role, the phenomenon is commonly referred to as induced fit to indicate that the tight structural complementarity of the interaction partners is a consequence of the binding event. Docking methods need to take into account this ability of the ligand and the protein to mutually adapt to each other when forming a complex. Handling the ligand as flexible is already common practice in docking applications. This is not yet the case for the protein. In fact, the accurate prediction of protein conformational changes upon ligand binding is still a major challenge, even more if computational speed is an issue, as for example in virtual screening applications. However, significant progress has been made over the past years and many valuable approaches have become available to address the protein flexibility problem and to provide more reliable docking predictions for complexes governed by significant induced-fit effects. This review provides a brief overview of the current situation, the most recent advances, and the remaining limitations of flexible protein docking, with particular focus on approaches handling protein flexibility simultaneously with ligand placement in the docking process.
Current topics in medicinal chemistry 11/2010; 11(2):179-91. · 4.47 Impact Factor
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ABSTRACT: HIV-1 integrase (IN) is a validated target of anti-AIDS research. The classical approach of designing active-site directed ligands has largely been exploited. A promising alternative strategy to inactivate the enzyme is to prevent the formation of IN dimers. The rational design of dimerization inhibitors, however, is hampered by the lack of relevant structural data about the targeted monomeric form. Therefore, we performed molecular dynamics simulations and subsequent analyses to gain insight into the structural features of the IN catalytic-core-domain dimerization interface. As a result, the formation of a groove and a cavity along the dimerization interface of the IN monomer could be revealed. Both were shown to be suited for accommodating an inhibitory peptide. The results form a valuable basis for the design of ligands targeting the dimerization interface and, thus, of a whole new class of HIV-1 integrase inhibitors.
Journal of Chemical Information and Modeling 03/2010; 50(4):604-14. · 4.68 Impact Factor
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ABSTRACT: Plasmepsins II (EC number: 3.4.23.39) and IV (EC number: 3.4.23.B14) are aspartic proteases present in the food vacuole of the malaria parasite Plasmodium falciparum and are involved in host hemoglobin degradation. A series of pyrrolidine derivatives, originally synthesized as HIV-1 protease inhibitors, were tested for activity against plasmepsin (Plm). Inhibitors in the nanomolar range were discovered for the Plm II and IV isoforms. Detailed studies were carried out to identify putative binding modes that help to explain the underlying structure-activity relationships. Reasonable binding modes were generated for pyrrolidine-3,4-diester derivatives and a substituted 3,4-diaminopyrrolidine inhibitor by using a crystal structure of inhibitor-bound Plm II (PDB ID: 1LEE). Modeling studies indicated that the flap of available Plm crystal structures is not sufficiently opened to accommodate the 3,4-bis(aminomethylene)pyrrolidines. Molecular dynamics simulations were performed to analyze the flexibility of the protein in greater detail, leading to a binding mode hypothesis for the 3,4-bis(aminomethylene)pyrrolidines and providing further insight and general implications for the design of Plm II inhibitors.
ChemMedChem 03/2010; 5(3):443-54. · 3.15 Impact Factor
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ABSTRACT: Plasmepsins (Plm) II (EC number: 3.4.23.39) and IV (EC number: 3.4.23.B14) are aspartic proteases present in the food vacuole of the malaria parasite Plasmodium falciparum and are involved in host hemoglobin degradation. Based on our established efficient synthetic sequence, a series of inhibitors for Plm II and IV has been synthesized bearing a 2,3,4,7-tetrahydro-1H-azepine scaffold as the core structural element. During the computational design cycle, thorough investigations were carried out in order to find a reasonable theoretical binding mode for Plm II and IV. The conformation of Plm II in the crystal structure (PDB code: 1LF2) provides a good starting geometry for our virtual screening approach. In contrast, the only available co-crystal structure for Plm IV of P. falciparum (PDB code: 1LS5) appears inappropriate for inhibitor design. Therefore, a homology model was constructed based on the Plm II 1LF2 structure. A combinatorial docking run using FlexX(c) suggested compounds which, after synthesis, turned out to exhibit affinities in the sub-micromolar range. The observed structure-activity relationships of the synthesized compounds confirm the assumed binding mode for Plm II and IV. The best-binding inhibitors designed for Plm II and IV are devoid of any inhibitory potency against human cathepsin D (EC number: 3.4.23.5).
ChemMedChem 10/2008; 3(9):1323-36. · 3.15 Impact Factor
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ABSTRACT: Empirical scoring functions to calculate binding affinities of protein-ligand complexes have been calibrated based on experimental structure and affinity data collected from public and industrial sources. Public data were taken from the AffinDB database, whereas access to industrial data was gained through the Scoring Function Consortium (SFC), a collaborative effort with various pharmaceutical companies and the Cambridge Crystallographic Data Center. More than 850 complexes were obtained by the data collection procedure and subsequently used to setup different training sets for the parameterization of new scoring functions. Over 60 different descriptors were evaluated for all complexes, including terms accounting for interactions with and among aromatic ring systems as well as many surface-dependent terms. After exploratory correlation and regression analyses, stepwise variable selection procedures and systematic searches, the most suitable descriptors were chosen as variables to calibrate regression functions by means of multiple linear regression or partial least squares analysis. Eight different functions are presented herein. Cross-validated r(2) (Q(2)) values of up to 0.72 and standard errors (s(PRESS)) generally below 1.15 pK(i) units suggest highly predictive functions. Extensive unbiased validation was carried out by testing the functions on large data sets from the PDBbind database as used by Wang et al. (J Chem Inf Comput Sci 2004;44:2114-2125) in a comparative analysis of other scoring functions. Superior performance of the SFCscore functions is observed in many cases, but the results also illustrate the need for further improvements.
Proteins Structure Function and Bioinformatics 05/2008; 73(2):395-419. · 3.39 Impact Factor
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ABSTRACT: To prevent diabetic complications derived from enhanced glucose flux via the polyol pathway the development of aldose reductase inhibitors (ARIs) has been established as a promising therapeutic concept. Here, we study the binding process of inhibitors to aldose reductase (ALR2) with respect to changes of the protonation inventory upon complex formation. Knowledge of such processes is a prerequisite to factorize the binding free energy into enthalpic and entropic contributions on an absolute scale. Our isothermal titration calorimetry (ITC) measurements suggest a proton uptake upon complex formation with carboxylate-type inhibitors. As the protonation event will contribute strongly to the enthalpic signal recorded during ITC experiments, knowledge about the proton-accepting and releasing functional groups of the system is of utmost importance. However, this is intricate to retrieve, if, as in the present case, both, binding site and ligand possess several titratable groups. Here, we present pKa calculations complemented by mutagenesis and thermodynamic measurements suggesting a tyrosine residue located in the catalytic site (Tyr48) as a likely candidate to act as proton acceptor upon inhibitor binding, as it occurs deprotonated to a remarkable extent if only the cofactor NADP+ is bound. We furthermore provide evidence that the protonation state and binding thermodynamics depend strongly on the oxidation state of the cofactor;s nicotinamide moiety. Binding thermodynamics of IDD 388, IDD 393, tolrestat, sorbinil, and fidarestat are discussed in the context of substituent effects.
Journal of Molecular Biology 12/2007; 373(5):1305-20. · 4.00 Impact Factor
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ABSTRACT: The protonation states of a protein and a ligand can be altered upon complex formation. Such changes can be detected experimentally by isothermal titration calorimetry (ITC). For a series of ligands binding to the serine proteases trypsin and thrombin, we previously performed an extensive ITC and crystallographic study and were able to identify protonation changes for four complexes. However, since ITC measures only the overall proton exchange, it does not provide structural insights into the functional groups involved in the proton transfer. Using Poisson-Boltzmann calculations based on our recently developed PEOE_PB charges, we compute pK(a) values for all complexes of our former study in order to reveal the residues with altered protonation states. The results indicate that His57, a member of the catalytic triad, is responsible for the most relevant pK(a) shifts leading to the experimentally detected protonation changes. This finding is in contrast to our previous assumption that the observed protonation changes occur at the carboxylic group of the ligands. The newly detected proton acceptor is used for a revised factorization of the ITC data, which is necessary whenever the protonation inventory changes upon complexation. The pK(a) values of complexes showing no protonation change in the ITC experiment are reliably predicted in most cases, whereas predictions of strongly coupled systems remain problematic.
Journal of Molecular Biology 05/2007; 367(5):1347-56. · 4.00 Impact Factor
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Angewandte Chemie International Edition 02/2007; 46(44):8511-4. · 13.45 Impact Factor
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ChemMedChem 01/2007; 1(12):1355-9. · 3.15 Impact Factor
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Angewandte Chemie International Edition 01/2007; 46(19):3575-8. · 13.45 Impact Factor
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ABSTRACT: Analyzing protein-protein interactions at the atomic level is critical for our understanding of the principles governing the interactions involved in protein-protein recognition. For this purpose, descriptors explaining the nature of different protein-protein complexes are desirable. In this work, the authors introduced Epic Protein Interface Classification as a framework handling the preparation, processing, and analysis of protein-protein complexes for classification with machine learning algorithms. We applied four different machine learning algorithms: Support Vector Machines, C4.5 Decision Trees, K Nearest Neighbors, and Naïve Bayes algorithm in combination with three feature selection methods, Filter (Relief F), Wrapper, and Genetic Algorithms, to extract discriminating features from the protein-protein complexes. To compare protein-protein complexes to each other, the authors represented the physicochemical characteristics of their interfaces in four different ways, using two different atomic contact vectors, DrugScore pair potential vectors and SFCscore descriptor vectors. We classified two different datasets: (A) 172 protein-protein complexes comprising 96 monomers, forming contacts enforced by the crystallographic packing environment (crystal contacts), and 76 biologically functional homodimer complexes; (B) 345 protein-protein complexes containing 147 permanent complexes and 198 transient complexes. We were able to classify up to 94.8% of the packing enforced/functional and up to 93.6% of the permanent/transient complexes correctly. Furthermore, we were able to extract relevant features from the different protein-protein complexes and introduce an approach for scoring the importance of the extracted features.
Proteins Structure Function and Bioinformatics 12/2006; 65(3):607-22. · 3.39 Impact Factor
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ABSTRACT: For routine pK(a) calculations of protein-ligand complexes in drug design, the PEOE method to compute partial charges was modified. The new method is applicable to a large scope of proteins and ligands. The adapted charges were parameterized using experimental free energies of solvation of amino acids and small organic ligands. For a data set of 80 small organic molecules, a correlation coefficient of r(2) = 0.78 between calculated and experimental solvation free energies was obtained. Continuum electrostatics pK(a) calculations based on the Poisson-Boltzmann equation were carried out on a validation set of nine proteins for which 132 experimental pK(a) values are known. In total, an overall RMSD of 0.88 log units between calculated and experimentally determined data is achieved. In particular, the predictions of significantly shifted pK(a) values are satisfactory, and reasonable estimates of protonation states in the active sites of lysozyme and xylanase could be obtained. Application of the charge-assignment and pK(a)-calculation procedure to protein-ligand complexes provides clear structural interpretations of experimentally observed changes of protonation states of functional groups upon complex formation. This information is essential for the interpretation of thermodynamic data of protein-ligand complex formation and provides the basis for the reliable factorization of the free energy of binding in enthalpic and entropic contributions. The modified charge-assignment procedure forms the basis for future automated pK(a) calculations of protein-ligand complexes.
Proteins Structure Function and Bioinformatics 12/2006; 65(2):424-37. · 3.39 Impact Factor
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ABSTRACT: In structure-based drug design, accurate crystal structure determination of protein-ligand complexes is of utmost importance in order to elucidate the binding characteristics of a putative lead to a given target. It is the starting point for further design hypotheses to predict novel leads with improved properties. Often, crystal structure determination is regarded as ultimate proof for ligand binding providing detailed insight into the specific binding mode of the ligand to the protein. This widely accepted practise relies on the assumption that the crystal structure of a given protein-ligand complex is unique and independent of the protocol applied to produce the crystals. We present two examples indicating that this assumption is not generally given, even though the composition of the mother liquid for crystallisation was kept unchanged: Multiple crystal structure determinations of aldose reductase complexes obtained under varying crystallisation protocols concerning soaking and crystallisation exposure times were performed resulting in a total of 17 complete data sets and ten refined crystal structures, eight in complex with zopolrestat and two complexed with tolrestat. In the first example, a flip of a peptide bond is observed, obviously depending on the crystallisation protocol with respect to soaking and co-crystallisation conditions. This peptide flip is accompanied by a rupture of an H-bond formed to the bound ligand zopolrestat. The indicated enhanced local mobility of the complex is in agreement with the results of molecular dynamics simulations. As a second example, the aldose reductase-tolrestat complex is studied. Unexpectedly, two structures could be obtained: one with one, and a second with four inhibitor molecules bound to the protein. They are located in and near the binding pocket facilitated by crystal packing effects. Accommodation of the four ligand molecules is accompanied by pronounced shifts concerning two helices interacting with the additional ligands.
Journal of Molecular Biology 11/2006; 363(1):174-87. · 4.00 Impact Factor
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ABSTRACT: A synthetic concept is presented that allows the construction of peptide isostere libraries through polymer-supported C-acylation reactions. A phosphorane linker reagent is used as a carbanion equivalent; by employing MSNT as a coupling reagent, the C-acylation can be conducted without racemization. Diastereoselective reduction was effected with L-selectride. The reagent linker allows the preparation of a norstatine library with full variation of the isosteric positions including the P1 side chain that addresses the protease S1 pocket. Therefore, the concept was employed to investigate the P1 site specificity of peptide isostere inhibitors systematically. The S1 pocket of several aspartic proteases including plasmepsin II and cathepsin D was modeled and docked with approximately 500 amino acid side chains. Inspired by this virtual screen, a P1 site mutation library was designed, synthesized, and screened against three aspartic proteases (plasmepsin II, HIV protease, and cathepsin D). The potency of norstatine inhibitors was found to depend strongly on the P1 substituent. Large, hydrophobic residues such as biphenyl, 4-bromophenyl, and 4-nitrophenyl enhanced the inhibitory activity (IC50) by up to 70-fold against plasmepsin II. In addition, P1 variation introduced significant selectivity, as up to 9-fold greater activity was found against plasmepsin II relative to human cathepsin D. The active P1 site residues did not fit into the crystal structure; however, molecular dynamics simulation suggested a possible alternative binding mode.
ChemMedChem 05/2006; 1(4):445-57. · 3.15 Impact Factor
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ABSTRACT: AffinDB is a database of affinity data for structurally resolved protein-ligand complexes from the Protein Data Bank (PDB). It is freely accessible at http://www.agklebe.de/affinity. Affinity data are collected from the scientific literature, both from primary sources describing the original experimental work of affinity determination and from secondary references which report affinity values determined by others. AffinDB currently contains over 730 affinity entries covering more than 450 different protein-ligand complexes. Besides the affinity value, PDB summary information and additional data are provided, including the experimental conditions of the affinity measurement (if available in the corresponding reference); 2D drawing, SMILES code and molecular weight of the ligand; links to other databases, and bibliographic information. AffinDB can be queried by PDB code or by any combination of affinity range, temperature and pH value of the measurement, ligand molecular weight, and publication data (author, journal and year). Search results can be saved as tabular reports in text files. The database is supposed to be a valuable resource for researchers interested in biomolecular recognition and the development of tools for correlating structural data with affinities, as needed, for example, in structure-based drug design.
Nucleic Acids Research 02/2006; 34(Database issue):D522-6. · 8.03 Impact Factor
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ABSTRACT: Cyclic AMP activates protein kinase A by binding to an inhibitory regulatory (R) subunit and releasing inhibition of the catalytic (C) subunit. Even though crystal structures of regulatory and catalytic subunits have been solved, the precise molecular mechanism by which cyclic AMP activates the kinase remains unknown. The dynamic properties of the cAMP binding domain in the absence of cAMP or C-subunit are also unknown. Here we report molecular-dynamics simulations and mutational studies of the RIalpha R-subunit that identify the C-helix as a highly dynamic switch which relays cAMP binding to the helical C-subunit binding regions. Furthermore, we identify an important salt bridge which links cAMP binding directly to the C-helix that is necessary for normal activation. Additional mutations show that a hydrophobic "hinge" region is not as critical for the cross-talk in PKA as it is in the homologous EPAC protein, illustrating how cAMP can control diverse functions using the evolutionarily conserved cAMP-binding domains.
Protein Science 02/2006; 15(1):113-21. · 2.80 Impact Factor
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ABSTRACT: Hydroxyethylene sulfones were developed as novel scaffolds against aspartyl proteases. A diastereoselective synthesis has been established to introduce the required side chain decoration with desired stereochemistry. Depending on the substitution of the hydroxyethylene sulfone core, micro- to submicromolar inhibition of HIV-1 protease is achieved for the S-configuration at P1 and R-configuration at the hydroxy-group-bearing backbone atom. This stereochemical preference is consistent with the S,R configuration of amprenavir. The racemic mixture of the most potent derivative (K(i) = 80 nM) was separated by chiral HPLC, revealing the S,R,S-enantiomer to be more active (K(i) = 45 nM). Docking studies suggested this isomer as the more active one. The subsequently determined crystal structure with HIV-1 protease, cocrystallized from a racemic mixture, exclusively reveals the S,R,S-enantiomer accommodated to the binding pocket. The transition state mimicking hydroxy group of the inhibitor is centered between both catalytic aspartates, while either its carbonyl or sulfonyl group forms H-bonds to the structurally conserved water mediating interactions between ligand and Ile50NH/Ile50NH' of both flaps. Biological testing of the stereoisomeric hydroxyethylene sulfones against cathepsin D and beta-secretase did not reveal significant inhibition. Most likely, the latter proteases require inverted configuration at the hydroxy group.
Journal of Medicinal Chemistry 11/2005; 48(21):6607-19. · 5.25 Impact Factor
