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Nicole Soto-García

Observed names: Nicole Soto-Garcia, Nicole Soto‐Garcia, Soto Garcia, Nicole
Observed institution: Universidad de Magallanes
ORCID: 0009-0001-1438-1938
Observed ORCID: 0009-0001-1438-1938
OpenAlex ID: A5094010781
Peptipedia v2.0: a peptide sequence database and user-friendly web platform. A major update
2024 · Gabriel Cabas-Mora, Anamaría Daza, et al. · Database · 44
Protein Language Models and Machine Learning Facilitate the Identification of Antimicrobial Peptides
2024 · David Medina-Ortiz, Seba Contreras, et al. · International Journal of Molecular Sciences · 24
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Geometric deep learning assists protein engineering. Opportunities and Challenges
2025 · Julián García-Vinuesa, Jorge Rojas, et al. · Biotechnology Advances · 9
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Protein language models accelerate the discovery of Plastic-Degrading Enzymes
2025 · David Medina-Ortiz, Diego Alvarez-Saravia, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 8
RUDEUS: A Machine Learning Classification System to Study DNA-Binding Proteins
2024 · David Medina-Ortiz, Gabriel Cabas-Mora, et al. · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management · 7
Machine Learning to Accelerate the Discovery of Therapeutic Peptides
2026 · Nicole Soto‐Garcia, Mehdi D. Davari, et al. · Wiley eBooks · 6
Perspectives Chapter: Data-Centric Strategies for Machine Learning-Driven Therapeutic Peptide Design – Challenges and Perspectives
2026 · David Medina-Ortiz, Sebastián Escobedo, et al. · IntechOpen eBooks · 4
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MAOMAO: an ontology-guided FAIR resource for harmonized peptide toxicity data
2026 · Nicole Soto-Garcia, Julián García-Vinuesa, et al. · Frontiers in Pharmacology
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Data-Centric Evaluation of Protein Function Prediction Pipelines
2026 · Nicole Soto-García, Norma Murillo-Acevedo, et al. · bioRxiv (Cold Spring Harbor Laboratory)
MAOMAO: An Ontology-Guided Fair Resource for Harmonized Peptide Toxicity Data
2026 · Nicole Soto-Garcia, Roberto Uribe-Paredes, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Peptipedia v2.0 database
2026 · CABAS MORA, GABRIEL ESTEBAN, Daza-Sanchez, Anamaria, et al. · Zenodo (CERN European Organization for Nuclear Research)
Toward explainable and adaptive artificial intelligence systems for antimicrobial peptide discovery under resistance pressure
2026 · Ana Luisa Islas-Ávila, Julián García-Vinuesa, et al. · Frontiers in Drug Discovery
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Identification of 14-3-3 Proteins as Binding Partners of TRP Channels
2026 · Nicolás Peña-Vilches, Mariela González-Avendaño, et al. · Journal of Chemical Information and Modeling
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Works count: 13
Citation count: 102
H-index: 6
I10-index: 2
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