A5036083814- SARS-CoV-2 and COVID-19 Research
- Antimicrobial Peptides and Activities
- Chemical Synthesis and Analysis
- Machine Learning in Bioinformatics
- COVID-19 epidemiological studies
- SARS-CoV-2 detection and testing
- Virus-based gene therapy research
- Protein Hydrolysis and Bioactive Peptides
- vaccines and immunoinformatics approaches
- COVID-19 Pandemic Impacts
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Biochemical and Structural Characterization
- COVID-19 Clinical Research Studies
- Endoplasmic Reticulum Stress and Disease
- Evolution and Genetic Dynamics
- biodegradable polymer synthesis and properties
- Biofuel production and bioconversion
- Microbial Metabolic Engineering and Bioproduction
- Food and Agricultural Sciences
- Alcohol Consumption and Health Effects
- Seaweed-derived Bioactive Compounds
- Enzyme Structure and Function
- COVID-19 diagnosis using AI
- Enzyme Catalysis and Immobilization
University of Chile
2017-2025
Fraunhofer Chile Research Foundation
2018-2021
Abstract With their diverse biological activities, peptides are promising candidates for therapeutic applications, showing antimicrobial, antitumour and hormonal signalling capabilities. Despite advantages, face challenges such as short half-life, limited oral bioavailability susceptibility to plasma degradation. The rise of computational tools artificial intelligence (AI) in peptide research has spurred the development advanced methodologies databases that pivotal exploration these complex...
Abstract Genomic surveillance (GS) programmes were crucial in identifying and quantifying the mutating patterns of SARS-CoV-2 during COVID-19 pandemic. In this work, we develop a Bayesian framework to quantify relative transmissibility different variants tailored for regions with limited GS. We use it study Chile. Among 3443 genomes collected between January June 2021, where sampling was designed be representative, Gamma (P.1), Lambda (C.37), Alpha (B.1.1.7), B.1.1.348, B.1.1 lineages...
Seaweed biomass is globally underutilized as a source of proteins despite its nutritional potential, with much use focused on hydrocolloid extraction. This study evaluated the quality and digestibility protein amino acids from two brown seaweeds (Durvillaea spp. Macrocystis pyrifera), one green seaweed (Ulva spp.), novel mycoprotein derived Durvillaea through fungal fermentation. Using an in vitro gastrointestinal digestion Megazyme assay kit, digestibility-corrected acid scores (PDCAASs)...
Plastic pollution presents a critical environmental challenge, necessitating innovative and sustainable solutions. In this context, biodegradation using microorganisms enzymes offers an environmentally friendly alternative. This work introduces AI-driven framework that integrates machine learning (ML) generative models to accelerate the discovery design of plastic-degrading enzymes. By leveraging pre-trained protein language curated datasets, we developed seven ML-based binary classification...
Abstract Peptides have attracted attention during the last decades due to their extraordinary therapeutic properties. Different computational tools been developed take advantage of existing information, compiling knowledge and making available information for common users. Nevertheless, most related are not user-friendly, present redundant do clearly display data, usually specific particular biological activities, so far, an integrated database with consolidated help research peptide...
In recent years, peptides have gained significant relevance due to their therapeutic properties. The surge in peptide production and synthesis has generated vast amounts of data, enabling the creation comprehensive databases information repositories. Advances sequencing techniques artificial intelligence further accelerated design tailor-made peptides. However, leveraging these requires versatile continuously updated storage systems, along with tools that facilitate research implementation...
Abstract In recent years, peptides have gained significant relevance due to their therapeutic properties. The surge in peptide production and synthesis has generated vast amounts of data, enabling the creation comprehensive databases information repositories. Advances sequencing techniques artificial intelligence further accelerated design tailor-made peptides. However, leveraging these requires versatile continuously updated storage systems, along with tools that facilitate research...
Abstract BACKGROUND Gene therapy is a potent alternative for long‐lasting inhibition of alcohol consumption. This study compares the purification recombinant adenoviral vector serotype 5 ( rAdV5 ) use in gene against alcoholism using two anion‐exchange methods. RESULTS Two chromatography methods fast protein liquid were compared packed‐bed column (Q‐Sepharose™ XL and monolithic columns CIM ™ QA ‐1 DEAE ‐1). An improved reproducible separation adenovirus type from cell lysate contaminants was...
Most ethanol is broken down in the liver two steps by alcohol dehydrogenase (ADH) and aldehyde (ALDH2) enzymes, which metabolize into acetaldehyde then acetate. Some individuals from Asian population who carry a mutation gene (ALDH2*2) cannot as efficiently, producing strong effects, including facial flushing, dizziness, hypotension, palpitations. This results an aversion to intake protection against alcoholism. The large prevalence of this human strongly suggests that modulation ALDH2...
Abstract Motivation BRENDA is the largest enzyme functional database, containing information of 84 000 experimentally characterized entries. This database an invaluable resource for researchers in biological field, which classifies enzyme-related categories that are very useful to obtain specific and protein engineering families. However, web interface, most used by with a non-informatic background, does not allow user cross-reference data from different or sub-categories database. Obtaining...
Motivation: Peptides have attracted the attention in this century due to their remarkable therapeutic properties. Computational tools are being developed take advantage of existing information, encapsulating knowledge and making it available a simple way for general public use. However, these property-specific redundant data systems, usually do not display clear way. In some cases, information download is even possible. This needs be form drug design other biotechnological applications....