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<!doctype html><html lang=en><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=description content="Webpage of the Resendis Lab"><meta name=viewport content="width=device-width,initial-scale=1,minimum-scale=1"><meta name=generator content="Hugo 0.79.0"><title>Webpage of the Resendis Lab</title><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Lato:300,400,500,700" type=text/css><link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel=stylesheet><link rel=stylesheet href=https://storage.googleapis.com/code.getmdl.io/1.3.0/material.indigo-green.min.css><link rel=stylesheet href=./css/styles.css><link rel=icon type=image/png href=./media/favicon.png></head><body><div class="mdl-layout mdl-js-layout mdl-layout--fixed-drawer mdl-layout--fixed-header"><header class="mdl-layout__header mdl-layout--small-screen-only"></header><div class=mdl-layout__drawer><a class=mdl-layout-title href=./><img src=./media/logo.png width=80% align=middle style=margin-top:2em></a><nav class=mdl-navigation><a class=mdl-navigation__link href=./>Home</a>
<a class=mdl-navigation__link href=./about>About</a>
<a class=mdl-navigation__link href=./members>Members</a>
<a class=mdl-navigation__link href=./positions>Work with us</a>
<a class=mdl-navigation__link href=./pubs>Publications</a>
<a class=mdl-navigation__link href=./projects>Projects</a>
<a class=mdl-navigation__link href=./software>Software</a>
<a class=mdl-navigation__link href=./events>Events</a>
<a class=mdl-navigation__link href=./about/#directions>Contact</a></nav></div><main class="mdl-layout__content mdl-color--grey-100"><div class=mdl-color--indigo-900 id=neuro><canvas id=demo-canvas></canvas></div><div class="mdl-color-text--white main-title"><h1>RESENDIS ANTONIO LAB</h1><hr><h2>Blending Biology and Computation to understand human diseases.</h2></div><div class="page-content mdl-grid"><br><br><div class="mdl-cell mdl-cell--12-col"><div class="card mdl-card mdl-shadow--4dp"><div class=mdl-card__supporting-text><h1 class=mdl-color-text--primary>Who we are</h1><p>Welcome to the webpage of the Human Systems Biology group in the National Institute for Genomic Medicine at Mexico City, INMEGEN. Our group is interdisciplinary and have the objective to develop a systems biology framework to analyze mainly human diseases and metabolic phenotype in microorganisms through the use of computational models and high-throughput technologies.
Currently, our laboratory focuses on the analysis of metabolic alterations in cancer cells by the implementation of genome scale metabolic reconstructions and assess the predictions in terms of experimental data at different scales.</p></div><div class="mdl-card__actions mdl-card--border"><a class="mdl-button mdl-button--colored mdl-js-button mdl-js-ripple-effect" href=./about>Read more...</a></div></div></div><div class="mdl-cell mdl-cell--12-col"><div class="card mdl-card mdl-shadow--4dp"><div class=mdl-card__title><h1 class=mdl-card__title-text>Latest News</h1></div><div class=mdl-card__supporting-text><h1 class=mdl-color-text--primary>Biological Physics Mexico City 2019</h1><h2 class=mdl-color-text--teal-500>from 06-09-2019 to 04-09-2019</h2><br><p>Frontier Science at the Intersection of Physics, Math and Biology The BioPhys Mexico City 2019 conference, the third in a biennial series, is intended as an international, multidisciplinary scientific forum to discuss the latest developments in biological physics, including experimental, theoretical and computational methods, from a single molecule perspective to complex multi-component environments.
The conference is expected to boost the new paradigm of interdisciplinary approaches converging into specific problems in biological physics.</p></div><div class="mdl-card__actions mdl-card--border"><a class="mdl-button mdl-button--colored mdl-js-button mdl-js-ripple-effect" href=./events>Read more...</a></div></div></div><div class="mdl-cell mdl-cell--12-col"><div class="card mdl-card mdl-shadow--4dp"><div class=mdl-card__title><h1 class=mdl-card__title-text>Latest Publication</h1></div><div class=mdl-card__supporting-text><h1 class=mdl-color-text--primary>Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence</h1><h3 class=mdl-color-text--gray>Frontiers in Molecular Biosciences 2024</h3><h2 class=mdl-color-text--teal-500>Juan José Oropeza-Valdez, Cristian Padron-Manrique, Aarón Vázquez-Jiménez, Xavier Soberón and Osbaldo Resendis-Antonio</h2><p>The COVID-19 pandemic, caused by SARS-CoV-2, has led to significant challenges worldwide, including diverse clinical outcomes and prolonged post-recovery symptoms known as Long COVID or Post-COVID-19 syndrome. Emerging evidence suggests a crucial role of metabolic reprogramming in the infection’s long-term consequences. This study employs a novel approach utilizing machine learning (ML) and explainable artificial intelligence (XAI) to analyze metabolic alterations in COVID-19 and Post-COVID-19 patients. Samples were taken from a cohort of 142 COVID-19, 48 Post-COVID-19, and 38 control patients, comprising 111 identified metabolites.</p></div><div class="mdl-card__actions mdl-card--border"><a class="mdl-button mdl-button--colored mdl-js-button mdl-js-ripple-effect" href=./pubs>See all...</a></div></div></div></div><script src=./js/TweenMax.min.js></script><script src=./js/neuro.js></script></main></div><script src=https://storage.googleapis.com/code.getmdl.io/1.3.0/material.min.js></script></body></html>