Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where David Montero Pereira is active.

Publication


Featured researches published by David Montero Pereira.


Current Drug Discovery Technologies | 2005

A computer-based approach to the rational discovery of new trichomonacidal drugs by atom-type linear indices

Yovani Marrero-Ponce; Yanesty Machado-Tugores; David Montero Pereira; José Antonio Escario; Alicia Barrio; Juan José Nogal-Ruiz; Carmen Ochoa; Vicente J. Arán; Antonio R. Martínez-Fernández; Roy N. García Sánchez; Alina Montero-Torres; Francisco Torrens; Alfredo Meneses-Marcel

Computational approaches are developed to design or rationally select, from structural databases, new lead trichomonacidal compounds. First, a data set of 111 compounds was split (design) into training and predicting series using hierarchical and partitional cluster analyses. Later, two discriminant functions were derived with the use of non-stochastic and stochastic atom-type linear indices. The obtained LDA (linear discrimination analysis)-based QSAR (quantitative structure-activity relationship) models, using non-stochastic and stochastic descriptors were able to classify correctly 95.56% (90.48%) and 91.11% (85.71%) of the compounds in training (test) sets, respectively. The result of predictions on the 10% full-out cross-validation test also evidenced the quality (robustness, stability and predictive power) of the obtained models. These models were orthogonalized using the Randic orthogonalization procedure. Afterwards, a simulation experiment of virtual screening was conducted to test the possibilities of the classification models developed here in detecting antitrichomonal chemicals of diverse chemical structures. In this sense, the 100.00% and 77.77% of the screened compounds were detected by the LDA-based QSAR models (Eq. 13 and Eq. 14, correspondingly) as trichomonacidal. Finally, new lead trichomonacidals were discovered by prediction of their antirichomonal activity with obtained models. The most of tested chemicals exhibit the predicted antitrichomonal effect in the performed ligand-based virtual screening, yielding an accuracy of the 90.48% (19/21). These results support a role for TOMOCOMD-CARDD descriptors in the biosilico discovery of new compounds.


Bioorganic & Medicinal Chemistry Letters | 2011

Synthesis and antibacterial activity of novel 4-aryl-[1,2,3]-triazole containing macrolides.

David Montero Pereira; Prabhavathi Fernandes

Two series of novel triazole containing 14-member macrolides having either a cladinose or a 3-pyridyl acetate group at the 3-position of the macrolide ring were synthesized. The in vitro antibacterial activities against S. aureus, S. pneumoniae, S. pyogenes and E. faecalis were determined. Macrolide 7a and the fluoroketolide 1 (CEM-101) were evaluated in vivo in murine systemic infection models. All of the macrolide analogs were less active in vitro and in vivo than the fluoroketolide 1 (CEM-101).


Clinical Infectious Diseases | 2011

Efforts to Support the Development of Fusidic Acid in the United States

Prabhavathi Fernandes; David Montero Pereira

Fusidic acid (FA), though used widely throughout the world for decades, has never been approved in the United States. There is now a great need for an oral methicillin-resistant Staphylococcus aureus (MRSA) antibiotic with a long track record of safety. Cempra Pharmaceuticals successfully encouraged passage of a congressional amendment to allow for Hatch-Waxman market exclusivity when this antibiotic is approved in the United States. A new dosing regimen has been patented, allowing FA to be used as monotherapy, and decreased resistance selectivity has been shown. With almost no resistance to FA in the United States, the time is right for introduction into this market.


Journal of Biomolecular Screening | 2008

New Antitrichomonal Drug-like Chemicals Selected by Bond (Edge)-Based TOMOCOMD-CARDD Descriptors

Alfredo Meneses-Marcel; Oscar Miguel Rivera-Borroto; Yovani Marrero-Ponce; Alina Montero; Yanetsy Machado Tugores; José Antonio Escario; Alicia Barrio; David Montero Pereira; Juan José Nogal; Vladimir V. Kouznetsov; Cristian Ochoa Puentes; Arnold R. Romero Bohórquez; Ricardo Grau; Francisco Torrens; Froylán Ibarra-Velarde; Vicente J. Arán

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 results to a great extent because a correct classification for both models of 95.24% (20 of 21) of the chemicals was obtained. Of the 21 compounds that were screened and synthesized, 2 molecules (chemicals G-1, UC-245) showed high to moderate cytocidal activity at the concentration of 10 μg/ml, another 2 compounds (G-0 and CRIS-148) showed high cytocidal activity only at the concentration of 100 μg/ml, and the remaining chemicals (from CRIS-105 to CRIS-153, except CRIS-148) were inactive at these assayed concentrations. Finally, the best candidate, G-1 (cytocidal activity of 100% at 10 μg/ml) was in vivo assayed in ovariectomized Wistar rats achieving promising results as a trichomonacidal drug-like compound. (Journal of Biomolecular Screening 2008:785-794).


The Journal of Antibiotics | 2017

Nature nurtures the design of new semi-synthetic macrolide antibiotics

Prabhavathi B. Fernandes; Evan Martens; David Montero Pereira

Erythromycin and its analogs are used to treat respiratory tract and other infections. The broad use of these antibiotics during the last 5 decades has led to resistance that can range from 20% to over 70% in certain parts of the world. Efforts to find macrolides that were active against macrolide-resistant strains led to the development of erythromycin analogs with alkyl-aryl side chains that mimicked the sugar side chain of 16-membered macrolides, such as tylosin. Further modifications were made to improve the potency of these molecules by removal of the cladinose sugar to obtain a smaller molecule, a modification that was learned from an older macrolide, pikromycin. A keto group was introduced after removal of the cladinose sugar to make the new ketolide subclass. Only one ketolide, telithromycin, received marketing authorization but because of severe adverse events, it is no longer widely used. Failure to identify the structure-relationship responsible for this clinical toxicity led to discontinuation of many ketolides that were in development. One that did complete clinical development, cethromycin, did not meet clinical efficacy criteria and therefore did not receive marketing approval. Work on developing new macrolides was re-initiated after showing that inhibition of nicotinic acetylcholine receptors by the imidazolyl-pyridine moiety on the side chain of telithromycin was likely responsible for the severe adverse events. Solithromycin is a fourth-generation macrolide that has a fluorine at the 2-position, and an alkyl-aryl side chain that is different from telithromycin. Solithromycin interacts at three sites on the bacterial ribosome, has activity against strains resistant to older macrolides (including telithromycin), and is mostly bactericidal. Pharmaceutical scientists involved in the development of macrolide antibiotics have learned from the teachings of Professor Satoshi Omura and progress in this field was not possible without his endeavors.


Bioorganic & Medicinal Chemistry Letters | 2005

A linear discrimination analysis based virtual screening of trichomonacidal lead-like compounds: outcomes of in silico studies supported by experimental results.

Alfredo Meneses-Marcel; Yovani Marrero-Ponce; Yanetsy Machado-Tugores; Alina Montero-Torres; David Montero Pereira; José Antonio Escario; Juan José Nogal-Ruiz; Carmen Ochoa; Vicente J. Arán; Antonio R. Martínez-Fernández; Rory N. García Sánchez


Bioorganic & Medicinal Chemistry | 2006

Predicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs

Yovani Marrero-Ponce; Alfredo Meneses-Marcel; Juan A. Castillo-Garit; Yanetsy Machado-Tugores; José Antonio Escario; Alicia Barrio; David Montero Pereira; Juan José Nogal-Ruiz; Vicente J. Arán; Antonio R. Martínez-Fernández; Francisco Torrens; Richard Rotondo; Froylán Ibarra-Velarde; Ysaías J. Alvarado


Journal of Computer-aided Molecular Design | 2008

Bond-based linear indices in QSAR: computational discovery of novel anti-trichomonal compounds

Yovani Marrero-Ponce; Alfredo Meneses-Marcel; Oscar Miguel Rivera-Borroto; Ramón García-Domenech; Jesús Vicente de Julián-Ortiz; Alina Montero; José Antonio Escario; Alicia Barrio; David Montero Pereira; Juan José Nogal; Ricardo Grau; Francisco Torrens; Christian Vogel; Vicente J. Arán


Archiv Der Pharmazie | 2004

4-aryl(benzyl)amino-4-heteroarylbut-1-enes as building blocks in heterocyclic synthesis. 4.1 Synthesis of 4,6-dimethyl-5-nitro(amino)-2-pyridylquinolines and their antiparasitic activities

Vladimir V. Kouznetsov; Leonor Y. Vargas Méndez; Belsy Tibaduiza; Carmen Ochoa; David Montero Pereira; Juan Ruiz; Carlos Fernaéndez Portillo; Susana Serrano; Alicia Barrio; Ali Bahsas; Juan M. Amaro-Luis


Qsar & Combinatorial Science | 2009

Discovery of novel trichomonacidals using LDA-driven QSAR models and bond-based bilinear indices as molecular descriptors

Oscar Miguel Rivera-Borroto; Yovani Marrero-Ponce; Alfredo Meneses-Marcel; José Antonio Escario; Alicia Barrio; Vicente J. Arán; Miriam A. Martins Alho; David Montero Pereira; Juan José Nogal; Francisco Torrens; Froylán Ibarra-Velarde; Yolanda Vera Montenegro; Alma Huesca-Guillen; Norma Rivera; Christian Vogel

Collaboration


Dive into the David Montero Pereira's collaboration.

Top Co-Authors

Avatar

Alicia Barrio

Complutense University of Madrid

View shared research outputs
Top Co-Authors

Avatar

José Antonio Escario

Complutense University of Madrid

View shared research outputs
Top Co-Authors

Avatar

Vicente J. Arán

Spanish National Research Council

View shared research outputs
Top Co-Authors

Avatar

Yovani Marrero-Ponce

Universidad San Francisco de Quito

View shared research outputs
Top Co-Authors

Avatar

Carmen Ochoa

Spanish National Research Council

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Vladimir V. Kouznetsov

Industrial University of Santander

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Juan José Nogal

Complutense University of Madrid

View shared research outputs
Top Co-Authors

Avatar

Juan José Nogal-Ruiz

Complutense University of Madrid

View shared research outputs
Researchain Logo
Decentralizing Knowledge