César de la Fuente‐Núñez

ORCID: 0000-0002-2005-5629
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About
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Research Areas
  • Antimicrobial Peptides and Activities
  • Biochemical and Structural Characterization
  • Bacterial biofilms and quorum sensing
  • vaccines and immunoinformatics approaches
  • Machine Learning in Bioinformatics
  • Chemical Synthesis and Analysis
  • Probiotics and Fermented Foods
  • Bacteriophages and microbial interactions
  • Antibiotic Resistance in Bacteria
  • RNA and protein synthesis mechanisms
  • Protein Hydrolysis and Bioactive Peptides
  • Biosensors and Analytical Detection
  • Computational Drug Discovery Methods
  • Gut microbiota and health
  • Advanced biosensing and bioanalysis techniques
  • Oral microbiology and periodontitis research
  • Immune Response and Inflammation
  • Antibiotic Use and Resistance
  • Protein Structure and Dynamics
  • SARS-CoV-2 and COVID-19 Research
  • Bacterial Identification and Susceptibility Testing
  • Genomics and Phylogenetic Studies
  • Antimicrobial agents and applications
  • SARS-CoV-2 detection and testing
  • Genetics, Bioinformatics, and Biomedical Research

University of Pennsylvania
2019-2025

Translational Therapeutics (United States)
2019-2025

Penn Center for AIDS Research
2021-2025

California University of Pennsylvania
2021-2025

Bioengineering (Switzerland)
2025

Philadelphia University
2022-2024

Massachusetts Institute of Technology
2016-2021

University of Illinois Urbana-Champaign
2020

Auburn University
2020

Broad Institute
2016-2019

Bacteria form multicellular communities known as biofilms that cause two thirds of all infections and demonstrate a 10 to 1000 fold increase in adaptive resistance conventional antibiotics. Currently, there are no approved drugs specifically target bacterial biofilms. Here we identified potent anti-biofilm peptide 1018 worked by blocking (p)ppGpp, an important signal biofilm development. At concentrations did not affect planktonic growth, treatment completely prevented formation led the...

10.1371/journal.ppat.1004152 article EN cc-by PLoS Pathogens 2014-05-22

ABSTRACT Biofilms cause up to 80% of infections and are difficult treat due their substantial multidrug resistance compared planktonic counterparts. Based on the observation that human peptide LL-37 is able block biofilm formation at concentrations below its MIC, we screened for small peptides with antibiofilm activity identified novel synthetic cationic 1037 only 9 amino acids in length. Peptide had very weak antimicrobial activity, but 1/30th MIC was effectively prevent (>50% reduction...

10.1128/aac.00064-12 article EN Antimicrobial Agents and Chemotherapy 2012-02-22

3D printing has been intensively explored to fabricate customized structures of responsive materials including hydrogels, liquid-crystal elastomers, shape-memory polymers, and aqueous droplets. Herein, a new method material system capable 3D-printing hydrogel inks with programed bacterial cells as components into large-scale (3 cm), high-resolution (30 μm) living materials, where the can communicate process signals in programmable manner, are reported. The design 3D-printed is guided by...

10.1002/adma.201704821 article EN publisher-specific-oa Advanced Materials 2017-12-05

Biofilm-related infections account for at least 65% of all human infections, but there are no available antimicrobials that specifically target biofilms. Their elimination by treatments is inefficient since biofilm cells between 10- and 1,000-fold more resistant to conventional antibiotics than planktonic cells. Here we describe the synergistic interactions, with different classes antibiotics, a recently characterized antibiofilm peptide, 1018, potently prevent eradicate bacterial biofilms...

10.1128/aac.03163-14 article EN Antimicrobial Agents and Chemotherapy 2014-07-01

Abstract Plants are extensively used in traditional medicine, and several plant antimicrobial peptides have been described as potential alternatives to conventional antibiotics. However, after more than four decades of research no peptide is currently for treating bacterial infections, due their length, post-translational modifications or high dose requirement a therapeutic effect . Here we report the design derived from guava glycine-rich using genetic algorithm. This approach yields...

10.1038/s41467-018-03746-3 article EN cc-by Nature Communications 2018-04-11

COVID-19 has led to over 3.47 million deaths worldwide and continues devastate primarily middle- low-income countries. High-frequency testing been proposed as a potential solution prevent outbreaks. However, current tests are not sufficiently low-cost, rapid, or scalable enable broad testing. Here, we describe LEAD (Low-cost Electrochemical Advanced Diagnostic), diagnostic test that detects severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within 6.5 min costs $1.50 per unit...

10.1073/pnas.2106724118 article EN cc-by Proceedings of the National Academy of Sciences 2021-07-09

Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine-learning-based approach predict antimicrobial peptides (AMPs) within global microbiome and leverage vast dataset of 63,410 metagenomes 87,920 prokaryotic genomes from environmental host-associated habitats create AMPSphere, comprehensive catalog comprising 863,498 non-redundant peptides, few which match existing databases. AMPSphere provides insights into evolutionary origins including by...

10.1016/j.cell.2024.05.013 article EN cc-by Cell 2024-06-05

The increasing resistance of bacteria to existing antibiotics constitutes a major public health threat globally. Most current antibiotic treatments are hindered by poor delivery the infection site, leading undesired off-target effects and drug development spread. Here, we describe micro- nanomotors that effectively autonomously deliver payloads target area. active motion antimicrobial activity silica-based robots driven catalysis enzyme urease peptides, respectively. These motors show...

10.1021/acsnano.1c11013 article EN cc-by-nc-nd ACS Nano 2022-04-29
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