[HTML][HTML] Protein language models and machine learning facilitate the identification of antimicrobial peptides

D Medina-Ortiz, S Contreras, D Fernández… - International Journal of …, 2024 - mdpi.com
Peptides are bioactive molecules whose functional versatility in living organisms has led to
successful applications in diverse fields. In recent years, the amount of data describing …

Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by machine learning approach

C Quiroz, YB Saavedra, B Armijo-Galdames… - Database, 2021 - academic.oup.com
Peptides have attracted attention during the last decades due to their extraordinary
therapeutic properties. Different computational tools have been developed to take …

Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic

S Contreras, JP Biron-Lattes, HA Villavicencio… - Chaos, Solitons & …, 2020 - Elsevier
COVID-19 pandemic has reshaped our world in a timescale much shorter than what we can
understand. Particularities of SARS-CoV-2, such as its persistence in surfaces and the lack …

Generalized property-based encoders and digital signal processing facilitate predictive tasks in protein engineering

D Medina-Ortiz, S Contreras… - Frontiers in Molecular …, 2022 - frontiersin.org
Computational methods in protein engineering often require encoding amino acid
sequences, ie, converting them into numeric arrays. Physicochemical properties are a …

[PDF][PDF] Programming for specific purposes in linguistics: A new challenge for the humanitarian curricula.

AI Gorozhanov, IA Guseynova - TLC Journal, 2020 - rudn.tlcjournal.org
The article describes the ways of teaching the linguistic students programming for specific
purposes and deals with the global problem of training future teachers of a foreign language …

Peptipedia v2. 0: a peptide sequence database and user-friendly web platform. A major update

G Cabas-Mora, A Daza, N Soto-García, V Garrido… - Database, 2024 - academic.oup.com
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 …

Exploring machine learning algorithms and numerical representations strategies to develop sequence-based predictive models for protein networks

D Medina-Ortiz, P Salinas, G Cabas-Moras… - … Science and Its …, 2023 - Springer
Predicting the affinity between two proteins is one of the most relevant challenges in
bioinformatics and one of the most useful for biotechnological and pharmaceutical …

Innovations in courts: Validation of a scale of technological innovation

K de Araújo Barbosa… - Revista de Gestão e …, 2022 - revistagesec.org.br
The development of studies on technological innovations in the public sector, specifically in
justice system, is still little explored in the literature. This article aimed to develop and …

Model-based assessment of sampling protocols for infectious disease genomic surveillance

S Contreras, KY Oróstica, A Daza-Sanchez… - Chaos, Solitons & …, 2023 - Elsevier
Genomic surveillance of infectious diseases allows monitoring circulating and emerging
variants and quantifying their epidemic potential. However, due to the high costs associated …

Integrative workflows for the characterization of hydrophobin and cerato-platanin in the marine fungus Paradendryphiella salina

C Landeta, D Medina-Ortiz, N Escobar, I Valdez… - Archives of …, 2024 - Springer
Hydrophobins (HFBs) and cerato-platanins (CPs) are surface-active extracellular proteins
produced by filamentous fungi. This study identified two HFB genes (pshyd1 and pshyd2) …