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PubMed2005

Virtual screening of novel CB2 ligands using a comparative model of the human cannabinoid CB2 receptor.

To identify novel selective CB2 lead compounds, a comparative model of the CB2 receptor was constructed using the high-resolution bovine rhodopsin X-ray structure as a template. The CB2 model was utilized both in building the database queries and in filtering the hit compounds by a docking and scoring method. In G-protein activation assays, 1-isoquinolyl[3-(trifluoromethyl)phenyl]methanone (40, NRB 04079) was found to act as a selective agonist at the human CB2 receptor.

Animals↗
PubMed2006

Identification of novel parasitic cysteine protease inhibitors by use of virtual screening. 2. The available chemical directory.

The incidence of parasitic infections such as malaria, leishmaniasis, and trypanosomiasis has been steadily increasing. Since the existing chemotherapy of these diseases suffers from lack of safe and effective drugs and/or the presence of widespread drug resistance, there is an urgent need for development of potent, mechanism-based antiparasitic agents against these diseases. Cysteine proteases have been established as valid targets for this purpose. The Available Chemical Directory consisting of nearly 355,000 compounds was screened in silico against the homology models of plasmodial cysteine proteases, falcipain-2, and falcipain-3, to identify structurally diverse non-peptide inhibitors. The study led to identification of 22 inhibitors of parasitic cysteine proteases out of which 18 compounds were active against falcipain-2 and falcipain-3. Eight compounds exhibited dual activity against both enzymes. Additionally, four compounds were found to inhibit L. donovani cysteine protease. While one of the cysteine protease inhibitors also exhibited in vitro antiplasmodial activity with an IC50 value of 9.5 microM, others did not show noticeable antiplasmodial activity up to 20 microM. A model identifying important pharmacophoric features common to the structurally diverse falcipain-2 inhibitors has also been developed. Very few potent non-peptide inhibitors of the parasitic cysteine proteases have been reported so far, and identification of these novel and chemically diverse inhibitors should provide leads to be optimized into candidates to treat protozoal infections.

Animals↗
PubMed2006

Novel human lipoxygenase inhibitors discovered using virtual screening with homology models.

We report the discovery of new, low micromolar, small molecule inhibitors of human platelet-type 12- and reticulocyte 15-lipoxygenase-1 (12-hLO and 15-hLO) using structure-based methods. Specifically, we created homology models of 12-hLO and 15-hLO, based on the structure of rabbit 15-lipoxygenase, for in silico screening of a large compound library followed by in vitro screening of 20 top scoring molecules. Eight of these compounds inhibited either 12- or 15-human lipoxygenase with lower than 100 microM affinity. Of these, we obtained IC50 values for the three best inhibitors, all of which displayed low micromolar inhibition. One compound showed specificity for 15-hLO versus 12-hLO; however, a selective inhibitor for 12-hLO was not identified. As a control we screened 20 randomly selected compounds, of which none showed low micromolar inhibition. The new low-micromolar inhibitors appear to be suitable as leads for further inhibitor development efforts against 12-hLO and 15-hLO, based on the fact their size and chemical properties are appropriate to classify them as drug-like compounds. The models of these protein-inhibitor complexes suggest strategies for future development of selective lipoxygenase inhibitors.

Animals↗
PubMed2006

Similarity based virtual screening: a tool for targeted library design.

High throughput screening drug discovery utilizes large and expensive compound libraries. As an alternative, a smaller targeted library can be constructed with the aid of the 3D structure of the target molecule. We used the X-ray crystal structure of a protein homologous to the selected target in creation of a small focused library and evaluated inhibition potential of this library against Chlamydia pneumoniae, a common pathogen recently linked to atherosclerosis and risk of myocardial infarction.

Acetamides↗
PubMed2006

Virtual screening of DNA minor groove binders.

The utility of the two docking programs DOCK and AutoDock in studying the binding of small molecules to the minor groove of B-DNA is examined. The AutoDock program is found to be more effective in both pose prediction and ranking of known binders over random compounds, and this superior performance is shown to be because of the scoring functions rather than the sampling algorithms.

Algorithms↗
PubMed2000

Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR.

Binding of the Tat protein to TAR RNA is necessary for viral replication of HIV-1. We screened the Available Chemicals Directory (ACD) to identify ligands to bind to a TAR RNA structure using a four-step docking procedure: rigid docking first, followed by three steps of flexible docking using a pseudobrownian Monte Carlo minimization in torsion angle space with progressively more detailed conformational sampling on a progressively smaller list of top-ranking compounds. To validate the procedure, we successfully docked ligands for five RNA complexes of known structure. For ranking ligands according to binding avidity, an empirical binding free energy function was developed which accounts, in particular, for solvation, isomerization free energy, and changes in conformational entropy. System-specific parameters for the function were derived on a training set of RNA/ligand complexes with known structure and affinity. To validate the free energy function, we screened the entire ACD for ligands for an RNA aptamer which binds L-arginine tightly. The native ligand ranked 17 out of ca. 153,000 compounds screened, i.e., the procedure is able to filter out >99.98% of the database and still retain the native ligand. Screening of the ACD for TAR ligands yielded a high rank for all known TAR ligands contained in the ACD and suggested several other potential TAR ligands. Eight of the highest ranking compounds not previously known to be ligands were assayed for inhibition of the Tat-TAR interaction, and two exhibited a CD50 of ca. 1 microM.

Arginine↗
PubMed2004

Docking and scoring in virtual screening for drug discovery: methods and applications.

Computational approaches that 'dock' small molecules into the structures of macromolecular targets and 'score' their potential complementarity to binding sites are widely used in hit identification and lead optimization. Indeed, there are now a number of drugs whose development was heavily influenced by or based on structure-based design and screening strategies, such as HIV protease inhibitors. Nevertheless, there remain significant challenges in the application of these approaches, in particular in relation to current scoring schemes. Here, we review key concepts and specific features of small-molecule-protein docking methods, highlight selected applications and discuss recent advances that aim to address the acknowledged limitations of established approaches.

Binding Sites↗
PubMed2005

C-H...O and other weak hydrogen bonds. From crystal engineering to virtual screening.

Hydrogen bonds, X-H...A, formed by weak donors (X = C) and acceptors (A = pi system) were generally dismissed as being of little consequence before and even during the 1970s. This situation changed in the early 1980s, and during the two following decades they were implicated as being significant in many small molecule crystal structures, and also in solution. Today, knowledge gained about these interactions is being used to understand the structure of biomolecules with implications for structure based drug design.

Crystallization↗
PubMed2003

New agents active against Mycobacterium avium complex selected by molecular topology: a virtual screening method.

OBJECTIVES: In order to select new drugs and to predict their in vitro activity against Mycobacterium avium complex (MAC), new quantitative structure-activity relationship (QSAR) models were developed. METHODS: The activities against MAC of 29 structurally heterogeneous drugs were examined by means of linear discriminant analysis (LDA) and multilinear regression analysis (MLRA) by using topological indices (TI) as structural descriptors. In vitro antimycobacterial activities were determined by a broth microdilution method with 7H9 medium. RESULTS: The topological model obtained successfully classifies over 80% of compounds as active or inactive; consequently, it was applied in the search for new molecules active against MAC. From among the selected candidates demonstrating in vitro activity, aflatoxin B1, benzalkonium chloride and pentamidine stand out, with MIC50s between 4 and 32 mg/L. CONCLUSION: The method described in this work is able to select molecules active against MAC.

Anti-Bacterial Agents↗
PubMed2006

Identification of new antimalarial drugs by linear discriminant analysis and topological virtual screening.

OBJECTIVES: A quantitative structure-activity relationship study using a database of 395 compounds previously tested against chloroquine-susceptible strains of the blood stages of Plasmodium falciparum to predict new in vitro antimalarial drugs has been developed. METHODS: Topological indices were used as structural descriptors and were related to antimalarial activity by using linear discriminant analysis (LDA) and multilinear regression (MLR). Two discriminant equations were obtained (FD1 and FD2), which allowed us to carry out successful classification of 90% and 80% of compounds, respectively. The IC50 values of the compounds were introduced to get an MLR equation model suitable to predict their in vitro activities. RESULTS: Using this model, a set of 27 drugs against a chloroquine-susceptible clone (3D7) of P. falciparum have been selected and evaluated in vitro. Among these drugs are monensin, nigericin, vincristine, vindesine, ethylhydrocupreine and salinomycin with in vitro IC50s at nanomolar concentrations (0.3, 0.4, 2, 6, 26 and 188 nM, respectively). Other compounds such as hycanthone, amsacrine, aphidicolin, bepridil, amiodarone, ranolazine and triclocarban showed in vitro IC50 values below 5 microM in the mathematical model. CONCLUSIONS: These results demonstrate the usefulness of the approach for the selection and design of new lead drugs active against P. falciparum.

Animals↗
PubMed2005

Virtual screening of HIV-1 protease inhibitors against human cytomegalovirus protease using docking and molecular dynamics.

The clearance of cytomegalovirus viraemia in HIV-1-infected patients may partly result from the inhibition of cytomegalovirus protease by HIV-1 protease inhibitors contained in highly active antiretroviral therapy. We used a computational method to calculate the binding affinity of six HIV-1 protease inhibitors to cytomegalovirus protease based on its X-ray crystallography structure. The calculations showed that amprenavir and indinavir occupy the substrate-binding site of the cytomegalovirus protease with high affinity, and may be implicated in alleviating cytomegalovirus infection.

AIDS-Related Opportunistic Infections↗
PubMed2005

Design of enhanced agonists through the use of a new virtual screening method: application to peptides that bind class I major histocompatibility complex (MHC) molecules.

A new screening procedure is described that uses docking calculations to design enhanced agonist peptides that bind to major histocompatibility complex (MHC) class I receptors. The screening process proceeds via single mutations of one amino acid at the positions that directly interact with the MHC receptor. The energetic and structural effects of these mutations have been studied using fragments of the original ligand that vary in length. The results of these docking studies indicate that the mutant affinity ranking of long peptides can be practically reproduced with a screening approach performed using fragments of six residues. Fragments of four and five residues could mimic, in some cases, the structural arrangement of the side chains of the full-length peptide. We have compared the structural and energetic results of the docking calculations with experimental data using three unrelated ligand peptides that differ greatly in their affinity for the MHC complex. Analysis of the affinity of the fragments led to the identification of three important parameters in the construction of fragments that mimic the structural and energetic properties of the full-length ligand: the length of the fragment; its intermolecular energy; and the number and localization, internal or terminal, of the anchor residues. The results of this new peptide-design methodology have been applied to suggest new peptides derived from the MUC1-8 peptide that could be used as murine vaccines that trigger the immune response through the MHC class I protein H-2K(b).

Animals↗
PubMed2006

Investigation of potential glycogen synthase kinase 3 inhibitors using pharmacophore mapping and virtual screening.

Glycogen synthase kinase-3 is a serine/threonine kinase that has attracted significant drug discovery attention in recent years. To investigate the identification of new potential glycogen synthase kinase-3 inhibitors, a pharmacophore mapping study was carried out using a set of 21 structurally diverse glycogen synthase kinase-3 inhibitors. A hypothesis containing four features: two hydrophobic, one hydrogen bond donor and another hydrogen bond acceptor was found to be the best from the 10 common feature hypotheses produced by HipHop module of Catalyst. The best hypothesis has a high cost of 156.592 and higher best fit values were obtained for the 21 inhibitors using this best hypothesis than the other HipHop hypotheses. The best hypothesis was then used to screen electronically the NCI2000 database. The hits obtained were docked into glycogen synthase kinase-3beta active site. A total of five novel potential leads were proposed after: (i) visual examination of how well they dock into the glycogen synthase kinase-3beta-binding site, (ii) comparative analysis of their FlexX, G-Score, PMF-Score, ChemScore and D-Scores values, (iii) comparison of their best fit value with the known inhibitors and (iv) examination of the how the hits retain interactions with the important amino acid residues of glycogen synthase kinase-3beta-binding site.

Algorithms↗