Computational drug design strategies applied to the modelling of human immunodeficiency virus-1 reverse transcriptase inhibitors

Reverse transcriptase (RT) is a multifunctional enzyme in the human immunodeficiency virus (HIV)-1 life cycle and represents a primary target for drug discovery efforts against HIV-1 infection. Two classes of RT inhibitors, the nucleoside RT inhibitors (NRTIs) and the nonnucleoside transcriptase inhibitors are prominently used in the highly active antiretroviral therapy in combination with other anti-HIV drugs. However, the rapid emergence of drug-resistant viral strains has limited the successful rate of the anti-HIV agents. Computational methods are a significant part of the drug design process and indispensable to study drug resistance. In this review, recent advances in computer-aided drug design for the rational design of new compounds against HIV-1 RT using methods such as molecular docking, molecular dynamics, free energy calculations, quantitative structure-activity relationships, pharmacophore modelling and absorption, distribution, metabolism, excretion and toxicity prediction are discussed. Successful applications of these methodologies are also highlighted.

Molecular modeling of peptide-MHC class I complexes : applications to peptide based immunotherapy

Summary The specific CD8+ T cell immune response against tumors relies on the recognition by the T cell receptor (TCR) on cytotoxic T lymphocytes (CTL) of antigenic peptides bound to the class I major histocompatibility complex (MHC) molecule. Such tumor associated antigenic peptides are the focus of tumor immunotherapy with peptide vaccines. The strategy for obtaining an improved immune response often involves the design of modified tumor associated antigenic peptides. Such modifications aim at creating higher affinity and/or degradation resistant peptides and require precise structures of the peptide-MHC class I complex. In addition, the modified peptide must be cross-recognized by CTLs specific for the parental peptide, i.e. preserve the structure of the epitope. Detailed structural information on the modified peptide in complex with MHC is necessary for such predictions. In this thesis, the main focus is the development of theoretical in silico methods for prediction of both structure and cross-reactivity of peptide-MHC class I complexes. Applications of these methods in the context of immunotherapy are also presented. First, a theoretical method for structure prediction of peptide-MHC class I complexes is developed and validated. The approach is based on a molecular dynamics protocol to sample the conformational space of the peptide in its MHC environment. The sampled conformers are evaluated using conformational free energy calculations. The method, which is evaluated for its ability to reproduce 41 X-ray crystallographic structures of different peptide-MHC class I complexes, shows an overall prediction success of 83%. Importantly, in the clinically highly relevant subset of peptide-HLAA*0201 complexes, the prediction success is 100%. Based on these structure predictions, a theoretical approach for prediction of cross-reactivity is developed and validated. This method involves the generation of quantitative structure-activity relationships using three-dimensional molecular descriptors and a genetic neural network. The generated relationships are highly predictive as proved by high cross-validated correlation coefficients (0.78-0.79). Together, the here developed theoretical methods open the door for efficient rational design of improved peptides to be used in immunotherapy. Résumé La réponse immunitaire spécifique contre des tumeurs dépend de la reconnaissance par les récepteurs des cellules T CD8+ de peptides antigéniques présentés par les complexes majeurs d'histocompatibilité (CMH) de classe I. Ces peptides sont utilisés comme cible dans l'immunothérapie par vaccins peptidiques. Afin d'augmenter la réponse immunitaire, les peptides sont modifiés de façon à améliorer l'affinité et/ou la résistance à la dégradation. Ceci nécessite de connaître la structure tridimensionnelle des complexes peptide-CMH. De plus, les peptides modifiés doivent être reconnus par des cellules T spécifiques du peptide natif. La structure de l'épitope doit donc être préservée et des structures détaillées des complexes peptide-CMH sont nécessaires. Dans cette thèse, le thème central est le développement des méthodes computationnelles de prédiction des structures des complexes peptide-CMH classe I et de la reconnaissance croisée. Des applications de ces méthodes de prédiction à l'immunothérapie sont également présentées. Premièrement, une méthode théorique de prédiction des structures des complexes peptide-CMH classe I est développée et validée. Cette méthode est basée sur un échantillonnage de l'espace conformationnel du peptide dans le contexte du récepteur CMH classe I par dynamique moléculaire. Les conformations sont évaluées par leurs énergies libres conformationnelles. La méthode est validée par sa capacité à reproduire 41 structures des complexes peptide-CMH classe I obtenues par cristallographie aux rayons X. Le succès prédictif général est de 83%. Pour le sous-groupe HLA-A*0201 de complexes de grande importance pour l'immunothérapie, ce succès est de 100%. Deuxièmement, à partir de ces structures prédites in silico, une méthode théorique de prédiction de la reconnaissance croisée est développée et validée. Celle-ci consiste à générer des relations structure-activité quantitatives en utilisant des descripteurs moléculaires tridimensionnels et un réseau de neurones couplé à un algorithme génétique. Les relations générées montrent une capacité de prédiction remarquable avec des valeurs de coefficients de corrélation de validation croisée élevées (0.78-0.79). Les méthodes théoriques développées dans le cadre de cette thèse ouvrent la voie du design de vaccins peptidiques améliorés.

The permeability P-glycoprotein: a focus on enantioselectivity and brain distribution.

IMPORTANCE OF THE FIELD: The permeability glycoprotein (P-gp) is an important protein transporter involved in the disposition of many drugs with different chemical structures, but few studies have examined a possible stereoselectivity in its activity. P-gp can have a major impact on the distribution of drugs in selected organs, including the brain. Polymorphisms of the ABCB1 gene, which encodes for P-gp, can influence the kinetics of several drugs. AREAS COVERED IN THIS REVIEW: A search including publications from 1990 up to 2009 was performed on P-gp stereoselectivity and on the impact of ABCB1 polymorphisms on enantiomer brain distribution. WHAT THE READER WILL GAIN: Despite stereoselectivity not being expected because of the large variability of chemical structures of P-gp substrates, structure-activity relationships suggest different P-gp-binding sites for enantiomers. Enantioselectivity in the activity of P-gp has been demonstrated by in vitro studies and in animal models (preferential transport of one enantiomer or different inhibitory potencies towards P-gp activity between enantiomers). There is also in vivo evidence of an enantioselective drug transport at the human blood-brain barrier. TAKE HOME MESSAGE: The significant enantioselective activity of P-gp might be clinically relevant and must be taken into account in future studies.

Regulation of P-selectin glycoprotein ligand 1 (PSGL-1) interactions with selectins : role of the decameric repeats and of the cytoplasmic domain

SUMMARY BACKGROUND: P-selectin glycoprotein ligand 1 (PSGL-1) is a major selectin ligand, mediating leukocyte rolling along inflamed vascular wall. It is a mucin-like homodimer composed of a N-terminal domain which binds selectins, followed by 14-16 decameric repeats (DR), a transmembrane domain and a cytoplasmic tail, which may be involved in regulating leukocyte rolling and in generating intracellular signals, through its binding to moesin and Syk. P- and L-selectin binding is dependent on core-2 O-glycosylation and tyrosine sulfation of PSGL-1 N-terminus. However, a minor part of E-selectin-mediated rolling is dependent on N-terminal O-glycans; additional binding sites may thus be involved. In this project, we studied whether (1) PSGL-1 DR and (2) PSGL-1 cytoplasmic residues which bind moesin, were also involved in the regulation of selectin-dependent rolling. METHODS: Several mutated cDNAs were obtained: (1) PSGL-1 DR were either deleted, or substituted by platelet GPlba macroglycopeptide, (2) Ser-336, -348, Lys-337 and Arg-338 were mutated to alanine; moreover, truncation mutants retaining only 6 or 2 cytoplasmic residues were also generated. Transfected CHO expressing mutant PSGL-1 were tested for their ability to bind soluble selectin chimeras and to support selectin-dependent rolling under flow conditions. RESULTS: (1) Deletion of the DR had a dramatic effect on P- and L-selectin-dependent cell recruitment and rolling stability, which could only partially be compensated for, by GPlba substitution. In addition, we observed that DR create a binding site for E-selectin and thus support PSGL-1-dependent rolling. (2) Flow assays revealed that the moesin-binding site, in particular Ser-336, plays a crucial role in regulating the recruitment, velocity and rolling stability of PSGL-1-expressing cells on P- and L-selectin. CONCLUSIONS: Data presented here highlight the structure -function relationship of PSGL-1 DR. Moreover, they reveal a crucial role for the moesin-binding residues in regulating P-and L-selectin-dependent rolling. RÉSUMÉ CONTEXTE: PSGL-1 (P-selectin glycoprotein ligand 1) est un ligand majeur des sélectines permettant le roulement des leucocytes le long de la paroi vasculaire enflammée. C'est un homodimère de type mucine, composé d'un domaine N-terminal liant les sélectines, suivi de 14-16 répétitions décamèriques (RD), d'un domaine transmembranaire et d'une queue cytoplasmique qui pourrait être impliquée dans la régulation du roulement leucocytaire et la génération de signaux intracellulaires, via sa liaison à la moésine et à Syk. La liaison à la Pet à la L-sélectine dépend de la présentation par le N-terminus de PSGL-1 de O-glycans sur des structures core-2 et de tyrosines sulfatées. Cependant, une fraction mineure du roulement médié par la E-sélectine dépend des O-glycans N-terminaux; des sites de liaisons supplémentaires pourraient donc être impliqués. Dans ce projet, nous avons étudié si (1) les RD de PSGL-1 ainsi que (2) les résidus cytoplasmiques liant la moésine, étaient impliqués dans la régulation du roulement dépendant des sélectines. MÉTHODES: Plusieurs ADN codant des formes mutées de PSGL-1 ont été obtenus: (1) Les RD de PSGL-1 ont été soit ôtées, soit remplacées par le macroglycopeptide de la GPlba plaquettaire, (2) les Ser-336, -348, la Lys-337 et l'Arg-338 ont été mutées en alanine; par ailleurs, des mutants tronqués ne retenant plus que 6 ou 2 résidus cytoplasmiques ont également été générés. Des CHO transfectées exprimant PSGL-1 muté ont été testées pour leur capacité à lier des sélectines chimériques solubles et à soutenir un roulement dépendant des sélectines dans des conditions de flux. RÉSULTATS: (1) La perte des RD a eu un effet dramatique sur le recrutement cellulaire et la stabilité de roulement dépendant des P- et L-sélectine, qui n'a pu être que partiellement compensé par la substitution par la GPlba. De plus, nous avons observé que les RD forment un site de liaison pour la E-sélectine et soutiennent ainsi le roulement dépendant de PSGL-1. (2) Les tests de flux ont révélé que le site de liaison à la moésine, notamment la Ser-336, joue un rôle crucial dans la régulation du recrutement, de la vitesse et de la stabilité du roulement des cellules exprimant PSGL-1 sur les P- et L-sélectine. CONCLUSIONS; Les données présentées ici ont permis d'éclaircir la relation structure -fonction des RD de PSGL-1. Par ailleurs, elles révèlent un rôle crucial pour les résidus liant la moésine dans le roulement dépendant des P- et L-sélectine. RÉSUMÉ DESTINÉ À UN LARGE PUBLIC Pour accomplir ses fonctions, le sang circule sur un réseau de 96'000 kilomètres; ainsi, il approvisionne les cellules de l'organisme en énergie, il transporte diverses substances, il assure la défense contre les pathogènes et il participe à la régulation de la température corporelle. Le sang contient plusieurs types de cellules: la grande majorité sont les globules rouges, auxquels il faut ajouter les plaquettes (dont le rôle est de colmater les lésions vasculaires) et les globules blancs (leucocytes) qui, bien que présents en très faible quantité (moins de 0.01 %), jouent un rôle crucial en cas d'infection ou d'inflammation. Une attaque par un pathogène provoque plusieurs changements (rougeur, chaleur, gonflement, douleur), qui sont des manifestations de l'inflammation. Pour atteindre l'agent infectieux, des globules blancs spécialisés (les granulocytes) doivent quitter la circulation sanguine. Afin de faciliter leur capture, les vaisseaux sanguins vont exprimer des protéines telles que les sélectines, qui sont reconnues par une protéine leucocytaire appelée PSGL-1 (P-selectin glycoprotein ligand 7). L'interaction des sélectines avec PSGL-1 soutient le roulement du globule blanc le long de la paroi vasculaire, à une vitesse très inférieure à celle du flux sanguin. Ce roulement conduit à l'activation du globule blanc par des molécules de l'inflammation, permettant son adhésion ferme, puis son arrêt. Finalement, le granulocyte va migrer à travers la paroi du vaisseau pour atteindre et éliminer les causes de l'inflammation. L'adhésion est un processus intéressant à caractériser, car outre l'inflammation, il est également impliqué dans l'artériosclérose, l'infarctus, la métastatisation et la thrombose. Dans ce travail, nous nous sommes intéressés à définir les rôles des différents domaines de PSGL-1 dans la régulation de son interaction avec les sélectines. En effet, en plus de son extrémité extracellulaire de haute affinité pour les sélectines, PSGL-1 est composé de plusieurs séquences répétées hautement glycosylées et d'une courte région intracellulaire, dont les fonctions n'avaient pas été étudiées auparavant. En créant des formes mutées de PSGL-1, nous avons pu montrer qu'un roulement efficace des leucocytes nécessite la présence des régions répétitives et du domaine intracellulaire au complet.

Firm's network capability and innovation performance: evidences from China hi-tech industry

ABSTRACT : A firm's competitive advantage can arise from internal resources as well as from an interfirm network. -This dissertation investigates the competitive advantage of a firm involved in an innovation network by integrating strategic management theory and social network theory. It develops theory and provides empirical evidence that illustrates how a networked firm enables the network value and appropriates this value in an optimal way according to its strategic purpose. The four inter-related essays in this dissertation provide a framework that sheds light on the extraction of value from an innovation network by managing and designing the network in a proactive manner. The first essay reviews research in social network theory and knowledge transfer management, and identifies the crucial factors of innovation network configuration for a firm's learning performance or innovation output. The findings suggest that network structure, network relationship, and network position all impact on a firm's performance. Although the previous literature indicates that there are disagreements about the impact of dense or spare structure, as well as strong or weak ties, case evidence from Chinese software companies reveals that dense and strong connections with partners are positively associated with firms' performance. The second essay is a theoretical essay that illustrates the limitations of social network theory for explaining the source of network value and offers a new theoretical model that applies resource-based view to network environments. It suggests that network configurations, such as network structure, network relationship and network position, can be considered important network resources. In addition, this essay introduces the concept of network capability, and suggests that four types of network capabilities play an important role in unlocking the potential value of network resources and determining the distribution of network rents between partners. This essay also highlights the contingent effects of network capability on a firm's innovation output, and explains how the different impacts of network capability depend on a firm's strategic choices. This new theoretical model has been pre-tested with a case study of China software industry, which enhances the internal validity of this theory. The third essay addresses the questions of what impact network capability has on firm innovation performance and what are the antecedent factors of network capability. This essay employs a structural equation modelling methodology that uses a sample of 211 Chinese Hi-tech firms. It develops a measurement of network capability and reveals that networked firms deal with cooperation between, and coordination with partners on different levels according to their levels of network capability. The empirical results also suggests that IT maturity, the openness of culture, management system involved, and experience with network activities are antecedents of network capabilities. Furthermore, the two-group analysis of the role of international partner(s) shows that when there is a culture and norm gap between foreign partners, a firm must mobilize more resources and effort to improve its performance with respect to its innovation network. The fourth essay addresses the way in which network capabilities influence firm innovation performance. By using hierarchical multiple regression with data from Chinese Hi-tech firms, the findings suggest that there is a significant partial mediating effect of knowledge transfer on the relationships between network capabilities and innovation performance. The findings also reveal that the impacts of network capabilities divert with the environment and strategic decision the firm has made: exploration or exploitation. Network constructing capability provides a greater positive impact on and yields more contributions to innovation performance than does network operating capability in an exploration network. Network operating capability is more important than network constructing capability for innovative firms in an exploitation network. Therefore, these findings highlight that the firm can shape the innovation network proactively for better benefits, but when it does so, it should adjust its focus and change its efforts in accordance with its innovation purposes or strategic orientation.

Identification and characterization of novel classes of macrophage migration inhibitory factor (MIF) inhibitors with distinct mechanisms of action.

Macrophage migration inhibitory factor (MIF), a proinflammatory cytokine, is considered an attractive therapeutic target in multiple inflammatory and autoimmune disorders. In addition to its known biologic activities, MIF can also function as a tautomerase. Several small molecules have been reported to be effective inhibitors of MIF tautomerase activity in vitro. Herein we employed a robust activity-based assay to identify different classes of novel inhibitors of the catalytic and biological activities of MIF. Several novel chemical classes of inhibitors of the catalytic activity of MIF with IC(50) values in the range of 0.2-15.5 microm were identified and validated. The interaction site and mechanism of action of these inhibitors were defined using structure-activity studies and a battery of biochemical and biophysical methods. MIF inhibitors emerging from these studies could be divided into three categories based on their mechanism of action: 1) molecules that covalently modify the catalytic site at the N-terminal proline residue, Pro(1); 2) a novel class of catalytic site inhibitors; and finally 3) molecules that disrupt the trimeric structure of MIF. Importantly, all inhibitors demonstrated total inhibition of MIF-mediated glucocorticoid overriding and AKT phosphorylation, whereas ebselen, a trimer-disrupting inhibitor, additionally acted as a potent hyperagonist in MIF-mediated chemotactic migration. The identification of biologically active compounds with known toxicity, pharmacokinetic properties, and biological activities in vivo should accelerate the development of clinically relevant MIF inhibitors. Furthermore, the diversity of chemical structures and mechanisms of action of our inhibitors makes them ideal mechanistic probes for elucidating the structure-function relationships of MIF and to further determine the role of the oligomerization state and catalytic activity of MIF in regulating the function(s) of MIF in health and disease.

Chemodiversity and molecular plasticity: recognition processes as explored by property spaces.

In the last few years, a need to account for molecular flexibility in drug-design methodologies has emerged, even if the dynamic behavior of molecular properties is seldom made explicit. For a flexible molecule, it is indeed possible to compute different values for a given conformation-dependent property and the ensemble of such values defines a property space that can be used to describe its molecular variability; a most representative case is the lipophilicity space. In this review, a number of applications of lipophilicity space and other property spaces are presented, showing that this concept can be fruitfully exploited: to investigate the constraints exerted by media of different levels of structural organization, to examine processes of molecular recognition and binding at an atomic level, to derive informative descriptors to be included in quantitative structure--activity relationships and to analyze protein simulations extracting the relevant information. Much molecular information is neglected in the descriptors used by medicinal chemists, while the concept of property space can fill this gap by accounting for the often-disregarded dynamic behavior of both small ligands and biomacromolecules. Property space also introduces some innovative concepts such as molecular sensitivity and plasticity, which appear best suited to explore the ability of a molecule to adapt itself to the environment variously modulating its property and conformational profiles. Globally, such concepts can enhance our understanding of biological phenomena providing fruitful descriptors in drug-design and pharmaceutical sciences.

Cation Transport Coupled to ATP Hydrolysis By the (Na, K)-ATPase : an integrated, animated model

An Adobe (R) animation is presented for use in undergraduate Biochemistry courses, illustrating the mechanism of Na+ and K+ translocation coupled to ATP hydrolysis by the (Na, K)-ATPase, a P-2c-type ATPase, or ATP-powered ion pump that actively translocates cations across plasma membranes. The enzyme is also known as an E-1/E-2-ATPase as it undergoes conformational changes between the E-1 and E-2 forms during the pumping cycle, altering the affinity and accessibility of the transmembrane ion-binding sites. The animation is based on Horisberger's scheme that incorporates the most recent significant findings to have improved our understanding of the (Na, K)-ATPase structure function relationship. The movements of the various domains within the (Na, K)-ATPase alpha-subunit illustrate the conformational changes that occur during Na+ and K+ translocation across the membrane and emphasize involvement of the actuator, nucleotide, and phosphorylation domains, that is, the "core engine" of the pump, with respect to ATP binding, cation transport, and ADP and P-i release.

Structural determinants involved in the activation and regulation of G protein-coupled receptors: lessons from the alpha1-adrenegic receptor subtypes.

The aim of a large number of studies on G protein-coupled receptors was centered on understanding the structural basis of their main functional properties. Here, we will briefly review the results obtained on the alpha1-adrenergic receptor subtypes belonging to the rhodopsin-like family of receptors. These findings contribute, on the one hand, to further understand the molecular basis of adrenergic transmission and, on the other, to provide some generalities on the structure-functional relationship of G protein-coupled receptors.

Progress on Lamellarins

This review covers recent literature on the lamellarins, a family of marine natural products, and related analogs, encompassing synthetic strategies for total synthesis, structure-activity relationships (SAR), and studies on mechanisms of biological action, namely in the context of antitumor activity. It reviews work published from January 2008 to December 2010.

A web-based tool to aid the identification of chemicals potentially posing a health risk through percutaneous exposure

Occupational hygiene practitioners typically assess the risk posed by occupational exposure by comparing exposure measurements to regulatory occupational exposure limits (OELs). In most jurisdictions, OELs are only available for exposure by the inhalation pathway. Skin notations are used to indicate substances for which dermal exposure may lead to health effects. However, these notations are either present or absent and provide no indication of acceptable levels of exposure. Furthermore, the methodology and framework for assigning skin notation differ widely across jurisdictions resulting in inconsistencies in the substances that carry notations. The UPERCUT tool was developed in response to these limitations. It helps occupational health stakeholders to assess the hazard associated with dermal exposure to chemicals. UPERCUT integrates dermal quantitative structure-activity relationships (QSARs) and toxicological data to provide users with a skin hazard index called the dermal hazard ratio (DHR) for the substance and scenario of interest. The DHR is the ratio between the estimated 'received' dose and the 'acceptable' dose. The 'received' dose is estimated using physico-chemical data and information on the exposure scenario provided by the user (body parts exposure and exposure duration), and the 'acceptable' dose is estimated using inhalation OELs and toxicological data. The uncertainty surrounding the DHR is estimated with Monte Carlo simulation. Additional information on the selected substances includes intrinsic skin permeation potential of the substance and the existence of skin notations. UPERCUT is the only available tool that estimates the absorbed dose and compares this to an acceptable dose. In the absence of dermal OELs it provides a systematic and simple approach for screening dermal exposure scenarios for 1686 substances.

Compostos de platina em quimioterapia do câncer

The vast majority of clinically used antitumor drugs are either synthetic or natural product based organic compounds. In this review we describe different aspects, such as structure-activity relationships, mechanism of action, clinical uses and possible future prospects, of the platinum antitumor complexes, a distinct class of antitumor agents.

Estratégias para a obtenção de compostos farmacologicamente ativos a partir de plantas medicinais: conceitos sobre modificação estrutural para otimização da atividade

In the present paper we discuss, based in our experience, some experimental procedures which may be employed for isolation of active compounds from medicinal plants. We have also emphasized some insights about the way to obtain more active and selective compounds from natural products through structural modifications oriented for analysis of structure-activity relationships.

Synthesis of angiotensin-converting enzyme (ACE) inhibitors: an important class of antihypertensive drugs

This report outlines the discovery, the design and development of new compounds, and, structure-activity relationships for this drug category. Updated approaches to planned syntheses of new worthy ACE-inhibitors are also exploited.

Peptídeos de conformação restrita induzida pela incorporação de unidades (aza)lactâmicas

Conformational constraint is an approach which can be used to restrict the flexibility of peptide molecules and to provide information on the topographical requirements of receptors. The incorporation of conformationally constrained units in a peptide can lead to peptide analogues that present numerous advantages such as the potentialization of the pharmacological activity and the decrease of enzymatic degradation. This review discusses the peptide analogues containing a lactam or azalactam unit in their sequences. Of particular interest has been the replacement of a dipeptide motif in a peptide that simulates a beta-turn.