[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 …

MultiPep: a hierarchical deep learning approach for multi-label classification of peptide bioactivities

AGB Grønning, T Kacprowski… - Biology Methods and …, 2021 - academic.oup.com
Peptide-based therapeutics are here to stay and will prosper in the future. A key step in
identifying novel peptide-drugs is the determination of their bioactivities. Recent advances in …

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 …

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 …

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) …

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

GE Cabas, A Daza, N Soto, V Garrido, D Alvarez… - bioRxiv, 2024 - biorxiv.org
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 …

[HTML][HTML] Machine learning based predictive model for the analysis of sequence activity relationships using protein spectra and protein descriptors

A Mckenna, S Dubey - Journal of Biomedical Informatics, 2022 - Elsevier
Accurately establishing the connection between a protein sequence and its function remains
a focal point within the field of protein engineering, especially in the context of predicting the …

Aplicaciones de Machine Learning y Data Mining en ingeniería de proteínas: diseño e implementación de nuevas estrategias para el estudio de mutaciones

DA Medina Ortiz - 2022 - repositorio.uchile.cl
La incorporación de las técnicas de aprendizaje de máquinas y minería de datos a las
estrategias de diseño de mutaciones ha permitido mejorar enormemente su rendimiento y …

Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches

C Quiroz, YB Saavedra, B Armijo-Galdames… - arXiv preprint arXiv …, 2021 - arxiv.org
Motivation: Peptides have attracted the attention in this century due to their remarkable
therapeutic properties. Computational tools are being developed to take advantage of …