0000000000206844

AUTHOR

José Antonio Escario

showing 10 related works from this author

Synthesis, biological evaluation and chemometric analysis of indazole derivatives. 1,2-Disubstituted 5-nitroindazolinones, new prototypes of antichag…

2012

Chagas disease chemotherapy, currently based on only two drugs, nifurtimox and benznidazole, is far from satisfactory and therefore the development of new antichagasic compounds remains an important goal. On the basis of antichagasic properties previously described for some 1,2-disubstituted 5-nitroindazolin-3- ones (21, 33) and in order to initiate the optimization of activity of this kind of compounds, we have prepared a series of related analogs (22-32, 34-38, 58 and 59) and tested in vitro these products against epimastigote forms of Trypanosoma cruzi. 2-Benzyl-1-propyl (22), 2-benzyl-1-isopropyl (23) and 2-benzyl-1-butyl (24) derivatives have shown high trypanocidal activity and low un…

Models MolecularDrugChagas diseaseIndazolesStereochemistryTrypanosoma cruzimedia_common.quotation_subjectStructure-Activity Relationshipchemistry.chemical_compoundParasitic Sensitivity TestsDrug DiscoverymedicineNifurtimoxTrypanosoma cruziBiological evaluationmedia_commonPharmacologyIndazoleDose-Response Relationship DrugMolecular StructurebiologyOrganic ChemistryGeneral Medicinemedicine.diseasebiology.organism_classificationTrypanocidal AgentsCombinatorial chemistrychemistryBenznidazolemedicine.drugEuropean Journal of Medicinal Chemistry
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Predicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs

2006

Existing Trichomonas vaginalis therapies are out of reach for most trichomoniasis people in developing countries and, where available, they are limited by their toxicity (mainly in pregnant women) and their cost. New antitrichomonal agents are needed to combat emerging metronidazole-resistant trichomoniasis and reduce the side effects associated with currently available drugs. Toward this end, atom-based bilinear indices, a new TOMOCOMD-CARDD molecular descriptor, and linear discriminant analysis (LDA) were used to discover novel, potent, and non-toxic lead trichomonacidal chemicals. Two discriminant functions were obtained with the use of non-stochastic and stochastic atom-type bilinear in…

Quantitative structure–activity relationshipDatabases FactualMolecular modelStereochemistryClinical BiochemistryDrug Evaluation PreclinicalPharmaceutical ScienceAntitrichomonal AgentsLigandsBiochemistryCross-validationChemometricsStructure-Activity Relationshipchemistry.chemical_compoundArtificial IntelligencePredictive Value of TestsMolecular descriptorDrug DiscoveryTrichomonas vaginalisAnimalsCluster AnalysisComputer SimulationMolecular BiologyStochastic ProcessesOrganic ChemistryComputational BiologyReproducibility of ResultsLinear discriminant analysisAntitrichomonal agentchemistryData Interpretation StatisticalTopological indexLinear ModelsMolecular MedicineBiological systemAlgorithmsBioorganic & Medicinal Chemistry
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New ligand-based approach for the discovery of antitrypanosomal compounds.

2005

The antitrypanosomal activity of 10 already synthesized compounds was in silico predicted as well as in vitro and in vivo explored against Trypanosoma cruzi. For the computational study, an approach based on non-stochastic linear fingerprints to the identification of potential antichagasic compounds is introduced. Molecular structures of 66 organic compounds, 28 with antitrypanosomal activity and 38 having other clinical uses, were parameterized by means of the TOMOCOMD-CARDD software. A linear classification function was derived allowing the discrimination between active and inactive compounds with a confidence of 95%. As predicted, seven compounds showed antitrypanosomal activity (%AE > 7…

TrypanosomaMolecular modelbiologyChemistryStereochemistryIn silicoOrganic ChemistryClinical BiochemistryAntiprotozoal AgentsPharmaceutical ScienceBiological activityLigand (biochemistry)biology.organism_classificationLigandsBiochemistryChemical synthesisIn vivoDrug DiscoveryMolecular MedicineAnimalsAmastigoteTrypanosoma cruziMolecular BiologyBioorganicmedicinal chemistry letters
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Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support

2010

Abstract Two-dimensional bond-based linear indices and linear discriminant analysis are used in this report to perform a quantitative structure–activity relationship study to identify new trypanosomicidal compounds. A database with 143 anti-trypanosomal and 297 compounds having other clinical uses, are utilized to develop the theoretical models. The best discriminant models computed using bond-based linear indices provides accuracies greater than 90 for both training and test sets. Our models identify as anti-trypanosomals five out of nine compounds of a set of already-synthesized substances. The in vitro anti-trypanosomal activity of this set against epimastigote forms of Trypanosoma cruzi…

Databases FactualMolecular modelCell SurvivalStereochemistryTrypanosoma cruziIn silicoNitro compoundQuantitative Structure-Activity RelationshipComputational biologyLigandsChemometricsDrug DiscoveryAnimalsHumansChagas DiseaseTrypanosoma cruziAmastigotePharmacologychemistry.chemical_classificationLife Cycle StagesbiologyOrganic ChemistryDiscriminant AnalysisBiological activityGeneral MedicineFibroblastsModels Theoreticalbiology.organism_classificationLinear discriminant analysisTrypanocidal AgentsHigh-Throughput Screening AssayschemistryAlgorithmsSoftwareEuropean Journal of Medicinal Chemistry
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Antiprotozoan lead discovery by aligning dry and wet screening: Prediction, synthesis, and biological assay of novel quinoxalinones

2014

Protozoan parasites have been one of the most significant public health problems for centuries and several human infections caused by them have massive global impact. Most of the current drugs used to treat these illnesses have been used for decades and have many limitations such as the emergence of drug resistance, severe side-effects, low-to-medium drug efficacy, administration routes, cost, etc. These drugs have been largely neglected as models for drug development because they are majorly used in countries with limited resources and as a consequence with scarce marketing possibilities. Nowadays, there is a pressing need to identify and develop new drug-based antiprotozoan therapies. In …

Quantitative structure–activity relationshipClinical BiochemistryAntiprotozoal AgentsQuantitative Structure-Activity RelationshipPharmaceutical ScienceLinear classifierBioinformaticsMachine learningcomputer.software_genreBiochemistryQuinoxalinesMolecular descriptorDrug DiscoveryBioassayMolecular BiologyVirtual screeningMolecular Structurebusiness.industryChemistryOrganic ChemistryBenchmark databaseDrug developmentCyclizationMolecular MedicineIn silico StudyArtificial intelligenceTOMOCOMD-CARDD SoftwarebusinessClassifier (UML)computer
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New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors.

2008

Bond-based quadratic indices, new TOMOCOMD-CARDD molecular descriptors, and linear discriminant analysis (LDA) were used to discover novel lead trichomonacidals. The obtained LDA-based quantitative structure-activity relationships (QSAR) models, using nonstochastic and stochastic indices, were able to classify correctly 87.91% (87.50%) and 89.01% (84.38%) of the chemicals in training (test) sets, respectively. They showed large Matthews correlation coefficients of 0.75 (0.71) and 0.78 (0.65) for the training (test) sets, correspondingly. Later, both models were applied to the virtual screening of 21 chemicals to find new lead antitrichomonal agents. Predictions agreed with experimental resu…

DrugAdultQuantitative structure–activity relationshipStereochemistrymedia_common.quotation_subjectOvariectomyDrug Evaluation PreclinicalTrichomonas InfectionsAntitrichomonal AgentsBiochemistryAnalytical Chemistrychemistry.chemical_compoundIn vivoMolecular descriptorDrug Resistance BacterialTrichomonas vaginalisAnimalsHumansRats Wistarmedia_commonChromatographyMolecular StructureChemistryDiscriminant AnalysisLinear discriminant analysisRatsAntitrichomonal agentEdge basedMolecular MedicineComputer-Aided DesignFemaleSoftwareBiotechnologyJournal of biomolecular screening
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Bond-based bilinear indices for computational discovery of novel trypanosomicidal drug-like compounds through virtual screening

2014

Two-dimensional bond-based bilinear indices and linear discriminant analysis are used in this report to perform a quantitative structure-activity relationship study to identify new trypanosomicidal compounds. A data set of 440 organic chemicals, 143 with antitrypanosomal activity and 297 having other clinical uses, is used to develop the theoretical models. Two discriminant models, computed using bond-based bilinear indices, are developed and both show accuracies higher than 86% for training and test sets. The stochastic model correctly indentifies nine out of eleven compounds of a set of organic chemicals obtained from our synthetic collaborators. The in vitro antitrypanosomal activity of …

Quantitative structure–activity relationshipStereochemistryTrypanosoma cruziDrug Evaluation PreclinicalQuantitative Structure-Activity RelationshipBilinear interpolationSet (abstract data type)MiceDrug DiscoveryIc50 valuesmedicineAnimalsCells CulturedPharmacologyStochastic ProcessesVirtual screeningDose-Response Relationship DrugMolecular StructureChemistryMacrophagesOrganic ChemistryDiscriminant AnalysisGeneral MedicineLinear discriminant analysisTrypanocidal AgentsDiscriminantBenznidazoleBiological systemmedicine.drugEuropean Journal of Medicinal Chemistry
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Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds

2012

Atom-based bilinear indices and linear discriminant analysis are used to discover novel trypanosomicidal compounds. The obtained linear discriminant analysis-based quantitative structure–activity relationship models, using non-stochastic and stochastic indices, provide accuracies of 89.02% (85.11%) and 89.60% (88.30%) of the chemicals in the training (test) sets, respectively. Later, both models were applied to the virtual screening of 18 in-house synthesized compounds to find new pro-lead antitrypanosomal agents. The in vitro antitrypanosomal activity of this set against epimastigote forms of Trypanosoma cruzi is assayed. Predictions agree with experimental results to a great extent (16/18…

PharmacologyDrugVirtual screeningbiologyStereochemistryIn silicomedia_common.quotation_subjectOrganic ChemistryLinear discriminant analysisbiology.organism_classificationBiochemistryIn vitroDrug DiscoverymedicineMolecular MedicineNifurtimoxTrypanosoma cruzimedicine.drugmedia_commonChemical Biology & Drug Design
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Identification <i>In Silico</i> and <i>In Vitro</i> of Novel Trypanosomicidal Drug-like Compounds

2012

Atom-based bilinear indices and linear discriminant analysis are used to discover novel trypanosomicidal compounds. The obtained linear discriminant analysis-based quantitative structure–activity relationship models, using non-stochastic and stochastic indices, provide accuracies of 89.02% (85.11%) and 89.60% (88.30%) of the chemicals in the training (test) sets, respectively. Later, both models were applied to the virtual screening of 18 in-house synthesized compounds to find new pro-lead antitrypanosomal agents. The in vitro antitrypanosomal activity of this set against epimastigote forms of Trypanosoma cruzi is assayed. Predictions agree with experimental results to a great extent (16/18…

DrugVirtual screeningChromatographybiologyChemistrymedia_common.quotation_subjectIn silicobiology.organism_classificationLinear discriminant analysisIn vitromedicineTrypanosoma cruziNifurtimoxmedia_commonmedicine.drugProceedings of The 16th International Electronic Conference on Synthetic Organic Chemistry
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Discovery of novel trichomonacidals using LDA-driven QSAR models and bond-based bilinear indices as molecular descriptors

2008

Few years ago, the World Health Organization estimated the number of adults with trichomoniasis at 170 million worldwide, more than the combined numbers for gonorrhea, syphilis, and chlamydia. To combat this sexually transmitted disease, Metronidazole (MTZ) has emerged, since 1959, as a powerful drug for the systematic treatment of infected patients. However, increasing resistance to MTZ, adverse effects associated to high-dose MTZ therapies and very expensive conventional technologies related to the development of new trichomonacidals necessitate novel computational methods that shorten the drug discovery pipeline. Therefore, bond-based bilinear indices, new 2-D bond-based TOMOCOMD-CARDD M…

Sexually transmitted diseaseVirtual screeningQuantitative structure–activity relationshipbusiness.industryDrug discoveryOrganic ChemistryBilinear interpolationComputational biologyMachine learningcomputer.software_genreLinear discriminant analysisWorld healthComputer Science ApplicationsMolecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerMathematics
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