Biomedical subjects

Jorge Gálvez

Publications and source records attributed to Jorge Gálvez.

7 recordsLinked to original sources

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↗

PubMed2006

Computational methods in developing quantitative structure-activity relationships (QSAR): a review.

Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complementing the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationship (QSAR) analysis, a field with established methodology and successful history. In this review, we discuss the computational methods for building QSAR models. We start with outlining their usefulness in high-throughput screening and identifying the general scheme of a QSAR model. Following, we focus on the methodologies in constructing three main components of QSAR model, namely the methods for describing the molecular structure of compounds, for selection of informative descriptors and for activity prediction. We present both the well-established methods as well as techniques recently introduced into the QSAR domain.

Models, Molecular↗

PubMed2005

In vitro activity of linezolid, clarithromycin and moxifloxacin against clinical isolates of Mycobacterium kansasii.

OBJECTIVES: To compare the activity of linezolid with a range of drugs used in the treatment of Mycobacterium kansasii infections. RESULTS: The percentages of resistant isolates against isoniazid, rifampicin and ethambutol were 2.9%, 1.9% and 2.9%, respectively. All isolates were susceptible to clarithromycin and moxifloxacin both with MIC(90) values of 0.125 mg/L. Linezolid was active against all isolates with MIC(50) and MIC(90) values of 0.5 and 1 mg/L, respectively, both below the susceptibility breakpoint established for mycobacteria. CONCLUSION: Linezolid, clarithromycin or moxifloxacin, could be used as alternative drugs for treatment of infections due to rifampicin-resistant isolates as well as short-course or intermittent therapy of M. kansasii lung disease.

Acetamides↗

PubMed2005

New potential antihistaminic compounds. Virtual combinatorial chemistry, computational screening, real synthesis, and pharmacological evaluation.

To study the utility of the virtual combinatorial chemistry coupled with computational screening, a library of amine and urea derivatives was designed by virtual combinatorial synthesis and eventually computationally screened by a mathematical topological model as antihistaminic compounds. The results reveal that virtual combinatorial synthesis and virtual screening together with molecular topology are a powerful tool in the design of new drugs.

Amines↗

PubMed2005

Search of chemical scaffolds for novel antituberculosis agents.

A method to identify chemical scaffolds potentially active against Mycobacterium tuberculosis is presented. The molecular features of a set of structurally heterogeneous antituberculosis drugs were coded by means of structural invariants. Three techniques were used to obtain equations able to model the antituberculosis activity: linear discriminant analysis, multilinear regression, and shrinkage estimation-ridge regression. The model obtained was statistically validated through leave-n-out test, and an external set and was applied to a database for the search of new active agents. The selected compounds were assayed in vitro, and among those identified as active stand reserpine, N,N,N',N'-tetrakis-(2-pyridylmethyl)-ethylenediamine (TPEN), trifluoperazine, pentamidine, and 2-methyl-4,6-dinitro-phenol (DNOC). They show activity comparable to or superior to ethambutol, used in combination with other drugs for the prevention and treatment of Mycobacterium avium complex and drug-resistant tuberculosis.

Antitubercular Agents↗

PubMed2004

Getting new bronchodilator compounds from molecular topology.

Molecular topology has been used to select new lead bronchodilator compounds. The main advantage of this method, as compared to others frequently used, is that it does not require a previous explicit knowledge of the mechanism of action (MOA) of the compounds analyzed. A large database (12,000 chemicals) has been examined in this study to find less than 5% compounds with bronchodilator activity. After removing those compounds already described as bronchodilators, we present here the results for 20 among these compounds, some of them showing other pharmacological activities. Some of the compounds selected in this study showed higher relaxation and higher potency than theophylline, which is the reference drug used in the bronchodilator assay performed. For instance, tetrahydro-papaveroline showed significantly higher values than theophylline (93.9% versus 77.0% and pD2=7.30 versus pD2=4.69, respectively). Other compounds, although eliciting small or no relaxation at 0.1mM, produced larger relaxation at higher concentrations (1mM). In conclusion, the molecular topology based approach used in this work has demonstrated to be effective in the search of new bronchodilators.

Bronchodilator Agents↗

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↗