J
J. Jesús Naveja
Researcher at National Autonomous University of Mexico
Publications - 42
Citations - 1036
J. Jesús Naveja is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Chemical space & Chemogenomics. The author has an hindex of 16, co-authored 40 publications receiving 723 citations. Previous affiliations of J. Jesús Naveja include University of Bonn & Center for Information Technology.
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Journal ArticleDOI
Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico.
Omar Yaxmehen Bello-Chavolla,Jessica Paola Bahena-López,Neftali Eduardo Antonio-Villa,Arsenio Vargas-Vázquez,Armando González-Díaz,Alejandro Márquez-Salinas,Carlos A Fermín-Martínez,J. Jesús Naveja,Carlos A. Aguilar-Salinas +8 more
TL;DR: A mechanistic approach to evaluate risk for complications and lethality attributable to COVID-19 considering the effect of obesity and diabetes in Mexico is proposed and offers a clinical tool for quick determination of high-risk susceptibility patients in a first contact scenario.
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DataWarrior: an evaluation of the open-source drug discovery tool
TL;DR: In the era of big data and data-driven science, DataWarrior stands out as a technology that combines prediction of physicochemical properties of pharmaceutical interest, cheminformatics calculations, multivariate data analysis, and interactive visualization with dynamic plots.
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Systematic Extraction of Analogue Series from Large Compound Collections Using a New Computational Compound-Core Relationship Method.
TL;DR: A computational approach to systematically identify analogue series (AS) in collections of organic compounds on the basis of well-established retrosynthetic rules, organization of compound–core relationships, and identification of analogues sharing the same core is introduced.
Posted ContentDOI
Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico
Omar Yaxmehen Bello-Chavolla,Jessica Paola Bahena-López,Neftali Eduardo Antonio-Villa,Arsenio Vargas-Vázquez,Armando González-Díaz,Alejandro Márquez-Salinas,Carlos A Fermín-Martínez,J. Jesús Naveja,Carlos A. Aguilar-Salinas +8 more
TL;DR: A mechanistic approach to evaluate risk for complication and lethality attributable to COVID-19 in patients with obesity and diabetes patients in a country with high susceptibility is proposed and a novel score offers a clinical tool for quick determination of high-risk susceptibility Patients in a first contact scenario.
Journal ArticleDOI
Open chemoinformatic resources to explore the structure, properties and chemical space of molecules
TL;DR: This review discusses open chemoinformatic resources to analyze the diversity and coverage of the chemical space of screening libraries and to explore structure–activity relationships of screening data sets.