Cesar de la Fuente‐Nunez

University Name

United States

Research Interests

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Articles (30)

Collaborators (15)

Fany Reffuveille

Lecturer-researcher

Université de Reims Champagne-Ardenne

Nuno Santos

Instituto de Medicina Molecular

M. Isabel Vigo Aguiar

Associated Professor

Universidad de Alicante

David Garcia-Garcia

Universidad de Alicante

Ravi Radhakrishnan

University of Pennsylvania

UNITED STATES

Robert Hancock

Professor and Canada Research Chair

University of British Columbia Faculty of Science

ANNA DE FILIPPIS

Università degli Studi della Campania Luigi Vanvitelli

jodhbir mehta

National University of Singapore (NUS)

Saaeha Rauz

University of Birmingham

UNITED KINGDOM

Baofu Qiao

Assistant Professor

Baruch College

UNITED STATES

Luis Pedro Coelho

Queensland University of Technology

Alan McNally

University of Birmingham

UNITED KINGDOM

Massimiliano Galdiero

Full Professor of Microbiology

University of Campania “Luigi Vanvitelli”

Ángel Serrano-Aroca

Professor and Principal Investigator

Universidad Católica de Valencia San Vicente Mártir

Cesar Bordehore

Assistant Professor (Profesor Ayudante Doctor)

Universidad de Alicante

Cesar de la Fuente‐Nunez

Research Interests

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Articles (30)

Exploring the Antimicrobial and Antiviral Properties of Cryptic Peptides from Human Fibrinogen

Deep learning reveals antibiotics in the archaeal proteome

Deep learning unlocks antimicrobial self-assembling peptides

Essay: Using Machine Learning for Antibiotic Discovery

Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence

Frog-derived synthetic peptides display anti-infective activity against Gram-negative pathogens

AI-Driven Antimicrobial Peptide Discovery: Mining and Generation

The Role of Asparagine as a Gatekeeper Residue in the Selective Binding of Rare Earth Elements by Lanthanide‐Binding Peptides

Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery

How AI can slow the rise of antibiotic-resistant “superbugs”

Challenges in computational discovery of bioactive peptides in ’omics data

Influence of antimicrobial peptides on the bacterial membrane curvature and vice versa

Antimicrobial resistance: a concise update

Carbon‐Based Nanomaterials for Antiviral Applications

Neuromicrobiology Comes of Age: The Multifaceted Interactions between the Microbiome and the Nervous System

The patentability and bioethics of molecular de-extinction

Deep-learning-enabled antibiotic discovery through molecular de-extinction

Antibiofilm approaches as a new paradigm for treating infections

Machine learning for antimicrobial peptide identification and design

Low-Cost Biosensor Technologies for Rapid Detection of COVID-19 and Future Pandemics

A bacterial cellulose-based and low-cost electrochemical biosensor for ultrasensitive detection of SARS-CoV-2

Leveraging artificial intelligence in the fight against infectious diseases

Mining for antimicrobial peptides in sequence space

Identification of the first COVID-19 infections in the US using a retrospective analysis (REMEDID)

Author Correction: Mining for encrypted peptide antibiotics in the human proteome

Antibiotic discovery with machine learning

Autonomous Treatment of Bacterial Infections in Vivo Using Antimicrobial Micro- and Nanomotors

Detection of SARS-CoV-2 with RAPID: A prospective cohort study

Synthetic Antibiotic Derived from Sequences Encrypted in a Protein from Human Plasma

Deep generative models for peptide design

Collaborators (15)

Fany Reffuveille

Nuno Santos

M. Isabel Vigo Aguiar

David Garcia-Garcia

Ravi Radhakrishnan

Robert Hancock

ANNA DE FILIPPIS

jodhbir mehta

Saaeha Rauz

Baofu Qiao

Luis Pedro Coelho

Alan McNally

Massimiliano Galdiero

Ángel Serrano-Aroca

Cesar Bordehore

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